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Hybrid Controller for Steady Speed of Agricultural Machinery on Slopes 认领 引用 被引量：1
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作者 WU Caicong XU Haisong GAO Xingyu 《农业机械学报》 EI CAS CSCD 北大核心 2026年第2期416-426,共11页
Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybr... Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybrid control method was proposed.This method included a hybrid controller composed of a slope-based controller and a proportional-integral-derivative(PID)controller.The speed of agricultural machinery was influenced by longitudinal forces,which were divided into two parts:one part was slope-related forces and conventional resistance,and the other was hard-to-estimate forces,such as sliding friction.For the first part,a slope-based controller was designed;for the second part,a PID controller was implemented.By combining these two controllers,the system can dynamically adjust the throttle opening and the brake master cylinder pressure,ensuring steady speed travel on sloping farmland.Simulation tests at a target speed of 7 km/h demonstrated that the proposed controller maintained a stable speed,achieving a root mean square error of 0.13 km/h and a mean absolute percentage error of 1.6%.Field tests on a practical experimental platform validated the method’s effectiveness,with results showing consistent control performance across varying slope conditions.The proposed controller demonstrated superior control performance.Experimental data verified that this method can achieve precise control of the agricultural machinery’s movement speed,meeting the stability requirements for agricultural operations. 展开更多
关键词 farmland slope PID controller steady speed control agricultural machinery unmanned operation
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Robust Sensor—Less PR Controller Design for 15-PUC Multilevel Inverter Topology with Low Voltage Stress for Renewable Energy Applications 认领 引用
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作者 K.Naga Venkata Siva Damodhar Reddy +3 位作者 P.Krishna Murthy Kiran Kumar Pulamolu M.Dharani T.Venkatakrishnamoorthy 《Energy Engineering》 EI 2026年第1期221-242,共22页
Conventional multilevel inverters often suffer from high harmonic distortion and increased design complexity due to the need for numerous power semiconductor components,particularly at elevated voltage levels.Addressi... Conventional multilevel inverters often suffer from high harmonic distortion and increased design complexity due to the need for numerous power semiconductor components,particularly at elevated voltage levels.Addressing these shortcomings,thiswork presents a robust 15-level PackedUCell(PUC)inverter topology designed for renewable energy and grid-connected applications.The proposed systemintegrates a sensor less proportional-resonant(PR)controller with an advanced carrier-based pulse width modulation scheme.This approach efficiently balances capacitor voltage,minimizes steady-state error,and strongly suppresses both zero and third-order harmonics resulting in reduced total harmonic distortion and enhanced voltage regulation.Additionally,a novel switching algorithm simplifies the design and implementation,further lowering voltage stress across switches.Extensive simulation results validate the performance under various resistive and resistive-inductive load conditions,demonstrating compliance with IEEE-519 THD standards and robust operation under dynamic changes.The proposed sensorless PR-controlled 15-PUC inverter thus offers a compelling,cost-effective solution for efficient power conversion in next-generation renewable energy systems. 展开更多
关键词 PUC packed U cell MLI multilevel inverter SLC sensorless controller PR proportional resonant controller PD phase disposition THD total harmonic distortion
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A Hybrid MZOA-PSO Optimized Cascaded PI(1+DD)-PI-PID Controller for Frequency Stability of Interconnected Power Systems with Renewable Energy and Electric Vehicles 认领 引用
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作者 AL-Wesabi Ibrahim Hassan M.Hussein Farh +3 位作者 Jiazhu Xu Mohamad A.Alawad Ahmed Alqurashi Abdullrahman A.Al-Shamma’a 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期650-697,共48页
Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable e... Load frequency control(LFC)in interconnected power systems has always been a challenging task in the presence of uncertainty and variability in the power systems arising primarily due to the integration of renewable energy sources and the impact of electric vehicles on the power system.Although various PI/PID and other advanced control strategies have been employed for LFC in power systems,the existing methods have shown some limitations in terms of dynamic flexibility and robustness in the presence of nonlinearities and couplings in the power systems.Moreover,the optimization methods employed for the tuning of the controllers have shown some limitations in terms of the balance between global and local search abilities of the optimization functions.To overcome the limitations of the existing methods and optimization functions,a hybrid Modified Zebra Optimization Algorithm-Particle Swarm Optimization(MZOA-PSO)is presented in this paper for the optimization of a cascaded PI(1+DD)-PI-PID controller for LFC in power systems.The MZOA enhances the original ZOA by chaotic initialization,adaptive parameter control,and Lévy-flight foraging to improve the global search ability,while PSO ensures efficient local search ability.The optimizer is first validated using four benchmark functions,achieving the global optimum for the Booth and Zakharov functions,a mean value of 2.13×10−28 with a 98%success rate for Rosenbrock,and 3.21×10−81 for Schwefel 2.22.Under a 1%step load perturbation,the proposed controller achieves a 13 s settling time,zero negative deviation in Area 2,a maximum positive excursion of 0.10 Hz,and tie-line undershoot limited to−0.10 p.u.Under random load variations,deviations remain within±0.03 Hz and±0.02 p.u.Under RES and EV integration,the peak frequency deviation is reduced to 0.46 Hz in Area 1.These results confirm that the proposed hybrid MZOA-PSO tuned cascaded controller provides improved damping,faster stabilization,and stronger robustness for modern interconnected LFC systems. 展开更多
关键词 Load frequency control cascaded PI(1+DD)-PI-PID controller hybrid MZOA-PSO algorithm interconnected power systems performance optimization
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A Review on Global Trends in Inverter Topologies,Controllers,Applications,Challenges and Solutions 认领 引用
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作者 Md.Liton Hossain Md.Zahid Ansary +3 位作者 Jiefeng Hu Syed Islam Maaspaliza Azri Norezmi Md.Jamal 《Energy Engineering》 EI 2026年第8期454-478,共25页
Inverters play an essential and indispensable role in energy conversion within modern electrical power systems.Conventional two-level inverters(2LIs)have been widely adopted across industrial applications due to their... Inverters play an essential and indispensable role in energy conversion within modern electrical power systems.Conventional two-level inverters(2LIs)have been widely adopted across industrial applications due to their simple structure and mature control strategies.However,2LIs exhibit several limitations when interfacing with utility-scale grid systems,including higher harmonic distortion,increased switching stress,and reduced efficiency in high-voltage and high-power operations.Multilevel Inverters(MLIs)have emerged as a transformative solution,enabling high-voltage and high-power applications with improved efficiency and significantly lower harmonic distortion compared to traditional two-level configurations.This review investigates the broad range of applications of 2LIs,along with their operational constraints,and provides a comprehensive overview of major MLI topologies,including neutral-point-clamped(NPC),flying-capacitor(FC),cascaded H-bridge(CHB),hybrid structures,transformer-based converters,and matrix converters.Key modulation and control techniques are also discussed,such as SPWM,SHE,SVPWM and random PWM.Furthermore,this paper highlights the practical deployment of MLIs in industrial motor drives,renewable energy integration,uninterruptible power supplies,and energy storage systems.Beyond technical aspects,global trends in inverter development are examined by comparing efficiencies,capabilities,and challenges among major manufacturers worldwide.Overall,MLIs are presented as scalable,efficient,and reliable converter solutions for the future of industrial and utility-scale power systems,offering valuable insight into current advancements and promising research directions. 展开更多
关键词 Inverter MLIs topologies controllers application industrial inverters challenges and solutions
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A Sliding Mode Controller Based on Timoshenko Beam Theory Developed for a Tendon-driven Robotic Wrist 认领 引用
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作者 Shifa Sulaiman Mohammad Gohari +1 位作者 Francesco Schetter Fanny Ficuciello 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第3期1451-1463,共13页
Development of dexterous robotic joints is essential for advancing manipulation capabilities in robotic systems.This paper presents a design and an implementation of a tendon-driven robotic wrist joint,together with a... Development of dexterous robotic joints is essential for advancing manipulation capabilities in robotic systems.This paper presents a design and an implementation of a tendon-driven robotic wrist joint,together with an efficient Sliding Mode Controller(SMC)for precise motion control.The wrist mechanism is modelled using the Timoshenko-based approach to accurately capture its kinematic and dynamic properties,which serve as the foundation for tendon force calculations within the controller.The proposed SMC is designed to deliver fast dynamic response and computational efficiency,enabling accurate trajectory tracking under varying operating conditions.The effectiveness of the proposed controller is validated through comparative analyses with existing controllers for similar wrist mechanisms.The proposed SMC demonstrated superior performance,validated through both simulation and experimental studies.The Root Mean Square Error(RMSE)range in simulation is found to be approximately 1.67×10-2radians,while experimental validation yielded an error of 0.2 radians.Additionally,the controller achieved a settling time of less than 3 seconds and a steady-state error below 10-1radians,consistently observed across both simulation and experimental evaluations.Comparative analyses with other controllers confirmed that the developed SMC surpassed alternative control strategies in motion accuracy,rapid convergence,and steady-state precision,contributing to enhanced dexterity.This work establishes a foundation for future exploration of tendon-driven wrist mechanisms and control strategies in robotic applications. 展开更多
关键词 Tendon-driven robot Robotic wrist Sliding mode controller Timoshenko beam theory
Fault-tolerant Control and Fault Diagnosis of Symmetrical Six-phase Permanent Magnet Synchronous Motor Drives without Controller Reconfiguration 认领 引用
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作者 Aihua Liu Feng Yu +1 位作者 Qingan Zhu Xiaoxin Wu 《CES Transactions on Electrical Machines and Systems》 EI CSCD 2026年第1期87-96,共10页
Owing to the multi-degree-of-freedom characteristics and inherent fault-tolerant capacity,six-phase motors have been widely adopted in high-power applications,such as electric vehicle propulsion and aerospace systems.... Owing to the multi-degree-of-freedom characteristics and inherent fault-tolerant capacity,six-phase motors have been widely adopted in high-power applications,such as electric vehicle propulsion and aerospace systems.This paper presents the fault-tolerant control strategy of symmetrical six-phase permanent magnet synchronous motor(SSPMSM)under an isolated neutral point topology and proposes a fault diagnosis scheme based on joint diagnosis of multiple variables.First,two mathematical models of SSPMSM and their relationship are established.Subsequently,the current vectors in the torque subspace and harmonic subspace of the two winding sets under fault conditions are analyzed,and the cause of post-fault torque ripple is explained as resulting from controller conflict.In addition,a multivariate fault diagnosis scheme based on voltage threshold in the x-y subspace and current trajectory characteristics in theα-βsubspace is proposed to enhance the diagnostic accuracy.Finally,the feasibility and stability of the proposed control and diagnosis methods are verified by experiments. 展开更多
关键词 Fault-tolerant control Symmetrical six-phase permanent magnet synchronous motor(SSPMSM) Isolated neutral point Controller conflict Multivariate fault diagnosis
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Design of Composite Two-Channel Disturbance Estimation Adaptive Controller for Backlash-Like Hysteretic Nonlinear Systems 认领 引用
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作者 LIU Qunpo LI Jiakun +2 位作者 FEI Shumin BU Xuhui NAOHIKO Hanajima 《Journal of Shanghai Jiaotong university(Science)》 EI 2026年第1期106-116,共11页
For nonlinear systems with backlash-like hysteresis characteristics and external disturbance,a composite two-channel disturbance estimation adaptive controller is proposed to improve the trajectory tracking accuracy o... For nonlinear systems with backlash-like hysteresis characteristics and external disturbance,a composite two-channel disturbance estimation adaptive controller is proposed to improve the trajectory tracking accuracy of the system.The unmodeled hysteresis and external disturbances are treated as lumped uncertainties,which are approximated by radial basis neural network and disturbance estimator respectively.These approximations are then linearly fused to form the compensation term for the lumped uncertainty.The second order linear filter is employed to estimate multiple differential terms,which are integrated into the controller design and dynamic system state updates,thereby reducing computational complexity.A weighted fusion mechanism is implemented for the two channels,and the adaptive update rate for each channel is determined based on the deviation between the lumped uncertainty reference value and the output of each channel.To address the challenges posed by the discontinuity of deviation and maintain system stability,the first-order low-pass filter is applied to smooth the deviation,enhancing system robustness.A trajectory tracking simulation of a single-input single-output nonlinear system is conducted to compare the performance of the proposed controller with baseline controllers,demonstrating the effectiveness of the composite two-channel disturbance estimation adaptive controller. 展开更多
关键词 composite adaptive control disturbance estimator external disturbance hysteretic nonlinearity neural network
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Actor–Critic Trajectory Controller with Optimal Design for Nonlinear Robotic Systems 认领 引用
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作者 Nien-Tsu Hu Hsiang-Tung Kao +1 位作者 Chin-Sheng Chen Shih-Hao Chang 《Computers, Materials & Continua》 SCIE EI 2026年第4期1996-2021,共26页
Trajectory tracking for nonlinear robotic systems remains a fundamental yet challenging problem in control engineering,particularly when both precision and efficiency must be ensured.Conventional control methods are o... Trajectory tracking for nonlinear robotic systems remains a fundamental yet challenging problem in control engineering,particularly when both precision and efficiency must be ensured.Conventional control methods are often effective for stabilization but may not directly optimize long-term performance.To address this limitation,this study develops an integrated framework that combines optimal control principles with reinforcement learning for a single-link robotic manipulator.The proposed scheme adopts an actor–critic structure,where the critic network approximates the value function associated with the Hamilton–Jacobi–Bellman equation,and the actor network generates near-optimal control signals in real time.This dual adaptation enables the controller to refine its policy online without explicit system knowledge.Stability of the closed-loop system is analyzed through Lyapunov theory,ensuring boundedness of the tracking error.Numerical simulations on the single-link manipulator demonstrate that themethod achieves accurate trajectory followingwhile maintaining lowcontrol effort.The results further showthat the actor–critic learning mechanism accelerates convergence of the control policy compared with conventional optimization-based strategies.This work highlights the potential of reinforcement learning integrated with optimal control for robotic manipulators and provides a foundation for future extensions to more complex multi-degree-of-freedom systems.The proposed controller is further validated in a physics-based virtual Gazebo environment,demonstrating stable adaptation and real-time feasibility. 展开更多
关键词 Reinforcement learning optimal control actor–critic algorithm trajectory tracking nonlinear systems robotic manipulator
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A Novel Distributed Controller Design for Robust Global Coordination of MASs With Heterogeneous Saturation 认领 引用
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作者 Xiaoling Wang Shengnan Zhu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第1期230-232,共3页
Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distr... Dear Editor,This letter addresses the challenge of achieving robust global coordination in multi-agent systems(MASs)subject to heterogeneous actuator saturation and additive input disturbances.We develop a novel distributed control framework that strategically integrates a redesigned saturation function to handle the nonlinear actuator constraint and a high-gain feedback mechanism for effective disturbance rejection. 展开更多
关键词 robust global coordination disturbance rejection nonlinear actuator constraint distributed control multi agent systems actuator saturation distributed control framework heterogeneous actuator saturation
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A Dynamic Matrix Controller with Feedforward for Flow Field in Intermittent Transonic Wind Tunnels 认领 引用
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作者 DU Ning ZHU Wenjie +2 位作者 YAO Dan ZOU Xinlei QIN Jianhua 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2026年第1期55-72,共18页
Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(... Intermittent transonic wind tunnels demand high-precision and stable control of Mach number and stagnation pressure during the variation of model angle of attack,while the traditional proportional integral derivative(PID)control strategy fails to achieve the Mach number control error target of 0.001 and is inept at resisting flow field disturbances caused by rapid changes in angle of attack.Aiming at this problem,this study takes the intermittent transonic wind tunnel of China Aerodynamics Research and Development Center as the research object and optimizes the wind tunnel control system for its characteristics of multi-input multi-output(MIMO),large time delay and nonlinearity.First,the control system structure is reconstructed by introducing ejection pressure as a controlled variable to reduce the time lag from the main pressure regulating valve to the test section,and selecting static pressure instead of Mach number as a controlled variable to weaken the nonlinear coupling between Mach number and static pressure.Second,based on the first-order plus dead time process model of the wind tunnel,a MIMO dynamic matrix controller(DMC)for wind tunnel flow field is designed.Considering the predictable nature of angle-of-attack changes,a feedforward compensation strategy is integrated into the DMC to mitigate the pressure disturbance in the test section caused by the variation of angle of attack.Third,a complete tuning strategy for DMC parameters including sampling time,prediction horizon,control horizon and weight coefficients is formulated according to the wind tunnel model parameters under different Mach numbers.Experimental validations through practical blowing tests are carried out at Mach numbers of 0.578,0.675,0.714 and 0.822 to compare the control performance of the proposed feedforward DMC strategy with the traditional PID control and DMC without feedforward compensation.The results show that the proposed strategy stably controls the Mach number error within 0.001,and significantly improves the stagnation pressure control accuracy and anti-disturbance capability of the wind tunnel flow field.Moreover,the strategy exhibits excellent repeatability and robustness under different Mach number conditions.This study effectively solves the problem of high-precision flow field control under the rapid change of angle of attack in intermittent transonic wind tunnels,and provides a technical reference for the flow field control of complex fluid test devices such as hypersonic wind tunnels. 展开更多
关键词 intermittent transonic wind tunnel flow field control dynamic matrix controller(DMC) feedforward compensation multi-input multi-output(MIMO)system parameter tuning
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Multi-task hierarchical network for semantic understanding of air traffic controller-pilot communication 认领 引用
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作者 Xiaoxiao ZHANG Qihan DENG +4 位作者 Yang YANG Shengsheng QIAN Yi HUI Yanbo ZHU Kaiquan CAI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第3期499-515,共17页
Flight situational awareness in civil aviation relies on the semantic understanding of both the key details and the full picture from the Air Traffic Controller(ATCo)and pilot communication.This paper proposes a novel... Flight situational awareness in civil aviation relies on the semantic understanding of both the key details and the full picture from the Air Traffic Controller(ATCo)and pilot communication.This paper proposes a novel end-to-end Multi-Task Hierarchical Network(MTHN)for automatically understanding ATCo-pilot communication,handling slot filling,role detection,and intent recognition at different levels while adaptively integrating them.Specifically,we introduce a wordbased knowledge-masked slot distillation module that constructs an ATC knowledge base to dynamically mask keywords during teacher-student distillation.Considering the distinct intent differences between ATCos and pilots,we design a sentence-based role-aware intent attention module that extracts role label space vectors as context to enrich intent representations.To exploit the complementarity across different semantic levels in ATCo-pilot communication,we explicitly develop an adaptive bi-interaction flow module that dynamically explores semantic dependencies among tasks.Extensive experiments on real-world datasets collected in China show the superior performance of MTHN,compared to state-of-the-art baselines in both general natural language understanding and ATC-specific text processing.Our results highlight that MTHN achieves 99.26%,97.25%,and 96.22%accuracy across key slots,as well as 96.59%accuracy in speaker role classification.Moreover,it can perceive multi-label deep intents behind sentences.These analytical findings demonstrate the potential to reduce human errors in high-concurrency ATCo-pilot interactions under dense operational conditions. 展开更多
关键词 Air traffic control Attention mechanism Hierarchical modeling Multi-task learning Semantic understanding
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An Improved PID Controller Based on Artificial Neural Networks for Cathodic Protection of Steel in Chlorinated Media 认领 引用
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作者 José Arturo Ramírez-Fernández Henevith G.Méndez-Figueroa +3 位作者 Sebastián Ossandón Ricardo Galván-Martínez Miguel Ángel Hernández-Pérez Ricardo Orozco-Cruz 《Computers, Materials & Continua》 SCIE EI 2026年第3期624-640,共17页
In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawate... In this study,artificial neural networks(ANNs)were implemented to determine design parameters for an impressed current cathodic protection(ICCP)prototype.An ASTM A36 steel plate was tested in 3.5%NaCl solution,seawater,and NS4 using electrochemical impedance spectroscopy(EIS)to monitor the evolution of the substrate surface,which affects the current required to reach the protection potential(Eprot).Experimental data were collected as training datasets and analyzed using statistical methods,including box plots and correlation matrices.Subsequently,ANNs were applied to predict the current demand at different exposure times,enabling the estimation of electrochemical parameters(limiting voltage values)that can be used to optimize a self-regulating ICCP system.The obtained electrochemical parameters were then used,through Particle Swarm Optimization(PSO),to fine-tune an ANN-based proportional-integral-derivative(PID)controller for the ICCP system. 展开更多
关键词 Artificial neural networks(ANNs) corrosion impressed current cathodic protection(ICCP) proportional integral derivative(PID)corrosion control particle swarm optimization(PSO) statistical analysis
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Design of a high-performance pressure-preserving controller for in situ pressure-preserving coring in deep oil and gas extraction 认领 引用 被引量：2
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作者 Xiaojun Shi Heping Xie +2 位作者 Cong Li Guikang Liu Mingzhong Gao 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第8期5038-5052,共15页
Pressure-preserving controllers(PPCs)are crucial components of in situ pressure-preserving coring(IPP-Coring)devices for deep oil and gas extraction,and their ultimate pressure-bearing(UPB)capability determines the up... Pressure-preserving controllers(PPCs)are crucial components of in situ pressure-preserving coring(IPP-Coring)devices for deep oil and gas extraction,and their ultimate pressure-bearing(UPB)capability determines the upper limit of their ability to acquire oil and gas reserves.However,due to the UPB-capability and sealing challenges,the working pressure typically does not exceed 70 MPa.In this study,the optimal design of a PPC using a self-developed IPP-Coring test platform is presented,and its seal failure mechanism is revealed.Experimental results demonstrate that the designed saddle-shaped PPC achieves a minimal UPB-capability of 140 MPa,which is twice the highest value reported in literature.A numerical simulation method was developed to predict the UPB-capability of the PPC,and its reliability was validated in comparison with experimental results.The simulation results indicate that the sealing failure of the PPC is attributed to a progressive escalation in seal clearance between valve cover and seat,which causes an O-ring extrusion.Under ambient temperature and ultrahigh pressure,the critical threshold for seal clearance in PPC seal failure is approximately 0.2 mm.These results provide significant insights into enhancing deep resource acquisition capabilities. 展开更多
关键词 Deep mining Pressure-preserving coring Oil and gas extraction Pressure-preserving controller
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A Novel Cascaded TID-FOI Controller Tuned with Walrus Optimization Algorithm for Frequency Regulation of Deregulated Power System 认领 引用
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作者 Geetanjali Dei Deepak Kumar Gupta +3 位作者 Binod Kumar Sahu Amitkumar V.Jha Bhargav Appasani Nicu Bizon 《Energy Engineering》 EI 2025年第8期3399-3431,共33页
This paper presents an innovative and effective control strategy tailored for a deregulated,diversified energy system involving multiple interconnected area.Each area integrates a unique mix of power generation techno... This paper presents an innovative and effective control strategy tailored for a deregulated,diversified energy system involving multiple interconnected area.Each area integrates a unique mix of power generation technologies:Area 1 combines thermal,hydro,and distributed generation;Area 2 utilizes a blend of thermal units,distributed solar technologies(DST),and hydro power;andThird control area hosts geothermal power station alongside thermal power generation unit and hydropower units.The suggested control system employs a multi-layered approach,featuring a blended methodology utilizing the Tilted Integral Derivative controller(TID)and the Fractional-Order Integral method to enhance performance and stability.The parameters of this hybrid TID-FOI controller are finely tuned using an advanced optimization method known as the Walrus Optimization Algorithm(WaOA).Performance analysis reveals that the combined TID-FOI controller significantly outperforms the TID and PID controllers when comparing their dynamic response across various system configurations.The study also incorporates investigation of redox flow batteries within the broader scope of energy storage applications to assess their impact on system performance.In addition,the research explores the controller’s effectiveness under different power exchange scenarios in a deregulated market,accounting for restrictions on generation ramp rates and governor hysteresis effects in dynamic control.To ensure the reliability and resilience of the presented methodology,the system transitions and develops across a broad range of varying parameters and stochastic load fluctuation.To wrap up,the study offers a pioneering control approach-a hybrid TID-FOI controller optimized via the Walrus Optimization Algorithm(WaOA)-designed for enhanced stability and performance in a complex,three-region hybrid energy system functioning within a deregulated framework. 展开更多
关键词 Integral time multiplied by absolute error(ITAE) load frequency control(LFC) particle swarm optimization(PSO) tilted integral derivative controller(TID) independent system operator(ISO) walrus optimization algorithm(WaOA) proportional integral derivative controller(PID)
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MASTer:A high-performance stable temperature controller for high-pressure multi-anvil presses 认领 引用
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作者 Guoliang Niu Shengbo Cao +3 位作者 Bingmin Yan Huiyang Gou Tomoo Katsura Ho-kwang Mao 《Matter and Radiation at Extremes》 SCIE EI CAS CSCD 2025年第5期102-110,共9页
Maintaining stable high temperatures under pressure remains a challenge in high-pressure,high-temperature experiments using multi-anvil presses(MAPs).Temperature fluctuations exceeding 10℃ at high pressures are commo... Maintaining stable high temperatures under pressure remains a challenge in high-pressure,high-temperature experiments using multi-anvil presses(MAPs).Temperature fluctuations exceeding 10℃ at high pressures are common and particularly problematic with LaCrO3 heaters,which can experience significant power fluctuations and even failure due to substantial resistance changes—an issue conventional thyristorcontrolled heating systems cannot effectively manage.To address this limitation,we have developed the Multi-Anvil Stable Temperature controller(MASTer),a high-performance heating system optimized for MAP experiments.MASTer enables precise,high-speed measurement of heating parameters and power output control,incorporating a gentle regulation strategy to enhance stability.It ensures consistent heating across various heater types,including LaCrO3,with power fluctuations limited to±0.1 W and temperature fluctuations to within±2℃ in most cases.The design,operating principles,user interface,functionality,and performance of the heating system are discussed in detail. 展开更多
关键词 stable temperature control high pressure multi anvil presses heating systems gentle regulation strategy power fluctuations high performance temperature controller Lacros heaters thyristor controlled heating systems
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Optimising PID Controllers for Multi-Area Automatic Generation Control With Improved NSGA-Ⅱ 认领 引用
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作者 Yang Yang Yuchao Gao +1 位作者 Shangce Gao Jinran Wu 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2025年第4期1135-1147,共13页
Modern automated generation control(AGC)is increasingly complex,requiring precise frequency control for stability and operational accuracy.Traditional PID controller optimisation methods often struggle to handle nonli... Modern automated generation control(AGC)is increasingly complex,requiring precise frequency control for stability and operational accuracy.Traditional PID controller optimisation methods often struggle to handle nonlinearities and meet robustness requirements across diverse operational scenarios.This paper introduces an enhanced strategy using a multi-objective optimisation framework and a modified non-dominated sorting genetic algorithm Ⅱ(SNSGA).The proposed model optimises the PID controller by minimising key performance metrics:integration time squared error(ITSE),integration time absolute error(ITAE),and rate of change of deviation(J).This approach balances convergence rate,overshoot,and oscillation dynamics effectively.A fuzzy-based method is employed to select the most suitable solution from the Pareto set.The comparative analysis demonstrates that the SNSGA-based approach offers superior tuning capabilities over traditional NSGA-Ⅱ and other advanced control methods.In a two-area thermal power system without reheat,the SNSGA significantly reduces settling times for frequency deviations:2.94s for Δf1 and 4.98s for Δf2,marking improvements of 31.6%and 13.4%over NSGA-Ⅱ,respectively. 展开更多
关键词 automatic generation control load frequency control multi-objective optimization nondominated sorting genetic algorithmⅡ PID controller
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Radial Basis Function Neural Network Adaptive Controller for Wearable Upper-Limb Exoskeleton with Disturbance Observer 认领 引用
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作者 Mohammad Soleimani Amiri Sahbi Boubaker +1 位作者 Rizauddin Ramli Souad Kamel 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第9期3113-3133,共21页
Disability is defined as a condition that makes it difficult for a person to perform certain vital activities.In recent years,the integration of the concepts of intelligence in solving various problems for disabled pe... Disability is defined as a condition that makes it difficult for a person to perform certain vital activities.In recent years,the integration of the concepts of intelligence in solving various problems for disabled persons has become more frequent.However,controlling an exoskeleton for rehabilitation presents challenges due to their nonlinear characteristics and external disturbances caused by the structure itself or the patient wearing the exoskeleton.To remedy these problems,this paper presents a novel adaptive control strategy for upper-limb rehabilitation exoskeletons,addressing the challenges of nonlinear dynamics and external disturbances.The proposed controller integrated a Radial Basis Function Neural Network(RBFNN)with a disturbance observer and employed a high-dimensional integral Lyapunov function to guarantee system stability and trajectory tracking performance.In the control system,the role of the RBFNN was to estimate uncertain signals in the dynamic model,while the disturbance observer tackled external disturbances during trajectory tracking.Artificially created scenarios for Human-Robot interactive experiments and periodically repeated reference trajectory experiments validated the controller’s performance,demonstrating efficient tracking.The proposed controller is found to achieve superior tracking accuracy with Root-Mean-Squared(RMS)errors of 0.022-0.026 rad for all joints,outperforming conventional Proportional-Integral-Derivative(PID)by 73%and Neural-Fuzzy Adaptive Control(NFAC)by 389.47%lower error.These results suggested that the RBFNN adaptive controller,coupled with disturbance compensation,could serve as an effective rehabilitation tool for upper-limb exoskeletons.These results demonstrate the superiority of the proposed method in enhancing rehabilitation accuracy and robustness,offering a promising solution for the control of upper-limb assistive devices.Based on the obtained results and due to their high robustness,the proposed control schemes can be extended to other motor disabilities,including lower limb exoskeletons. 展开更多
关键词 Adaptive neural network controller disturbance observer upper-limb exoskeleton rehabilitation robotics Lyapunov stability radial basis function network
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A Proportional Integral Controller-Enhanced Non-Negative Latent Factor Analysis Model 认领 引用
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作者 Ye Yuan Siyang Lu Xin Luo 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第6期1246-1259,共14页
A non-negative latent factor(NLF)model is able to be built efficiently via a single latent factor-dependent,non-negative and multiplicative update(SLF-NMU)algorithm for performing precise representation to high-dimens... A non-negative latent factor(NLF)model is able to be built efficiently via a single latent factor-dependent,non-negative and multiplicative update(SLF-NMU)algorithm for performing precise representation to high-dimensional and incomplete(HDI)matrix from many kinds of big-data-related applications.However,an SLF-NMU algorithm updates a latent factor relying on the current update increment only without considering past learning information,making a resultant model suffer from slow convergence.To address this issue,this study proposes a proportional integral(PI)controller-enhanced NLF(PI-NLF)model with two-fold ideas:1)Designing an increment refinement(IR)mechanism,which formulates the current and past update increments as the proportional and integral terms of a PI controller,thereby assimilating the past update information into the learning scheme smoothly with high efficiency;2)Deriving an IR-based SLF-NMU(ISN)algorithm,which updates a latent factor following the principle of an IR mechanism,thus significantly accelerating an NLF model's convergence rate.The simulation results on eight HDI matrices collected by real applications validate that a PI-NLF model outstrips several leading-edge models in both computational efficiency and accuracy when estimating missing data within an HDI matrix.The proposed PI-NLF model can be effectively applied to applications involving HDI matrix like e-commerce system,social network,and cloud service system.The code is available at http://gffzz188fe103f8f1460asnwfqfv9cpqnx6ko5.ffgz.tsg.suse.edu.cn/yuanyeswu/PINLF/blob/mainIPINLF-code.zip. 展开更多
关键词 High-dimensional and incomplete(HDI)data learning algorithm non-negative latent factor(NLF)analysis proportional integral(PI)controller
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A Learning-Based Passive Resilient Controller for Cyber-Physical Systems:Countering Stealthy Deception Attacks and Complete Loss of Actuators Control Authority 认领 引用
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作者 Liang Xin Zhi-Qiang Long 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第7期1368-1380,共13页
Cyber-physical systems(CPSs)are increasingly vulnerable to cyber-attacks due to their integral connection between cyberspace and the physical world,which is augmented by Internet connectivity.This vulnerability necess... Cyber-physical systems(CPSs)are increasingly vulnerable to cyber-attacks due to their integral connection between cyberspace and the physical world,which is augmented by Internet connectivity.This vulnerability necessitates a heightened focus on developing resilient control mechanisms for CPSs.However,current observer-based active compensation resilient controllers exhibit poor performance against stealthy deception attacks(SDAs)due to the difficulty in accurately reconstructing system states because of the stealthy nature of these attacks.Moreover,some non-active compensation approaches are insufficient when there is a complete loss of actuator control authority.To address these issues,we introduce a novel learning-based passive resilient controller(LPRC).Our approach,unlike observer-based state reconstruction,shows enhanced effectiveness in countering SDAs.We developed a safety state set,represented by an ellipsoid,to ensure CPS stability under SDA conditions,maintaining system trajectories within this set.Additionally,by employing deep reinforcement learning(DRL),the LPRC acquires the capacity to adapt and diverse evolving attack strategies.To empirically substantiate our methodology,various attack methods were compared with current passive and active compensation resilient control methods to evaluate their performance. 展开更多
关键词 Actuator authority cyber-physical systems(CPSs) deep reinforcement learning(DRL) learning-based controller resilient control stealthy deception attacks(SDAs)
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Cascade explicit tube model predictive controller:application for a multi-robot system 认领 引用 被引量：1
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作者 Ehsan Soleimani Amirhossein Nikoofard Erfan Nejabat 《Control Theory and Technology》 EI CSCD 2025年第2期237-252,共16页
In recent years,there has been a growing demand for more efficient and robust control strategies in cooperative multi-robot systems.This paper introduces the cascade explicit tube model predictive controller(CET-MPC),... In recent years,there has been a growing demand for more efficient and robust control strategies in cooperative multi-robot systems.This paper introduces the cascade explicit tube model predictive controller(CET-MPC),a control architecture designed specifically for distributed aerial robot systems.By integrating an explicit model predictive controller(MPC)with a tube MPC,our approach significantly reduces online computational demands while enhancing robustness against disturbances such as wind and measurement noise,as well as uncertainties in inertia parameters.Further,we incorporate a cascade controller to minimize steady-state errors and improve system performance dynamically.The results of this assessment provide valuable insights into the effectiveness and reliability of the CET-MPC approach under realistic operating conditions.The simulation results of flight scenarios for multi-agent quadrotors demonstrate the controller’s stability and accurate tracking of the desired path.By addressing the complexities of quadrotors’six degrees of freedom,this controller serves as a versatile solution applicable to a wide range of multi-robot systems with varying degrees of freedom,demonstrating its adaptability and scalability beyond the quadrotor domain. 展开更多
关键词 Explicit model predictive control(MPC) Tube MPC Cascade controller Quadrotor Multi-agent system Distributed formation control
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