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Model Predictive Current Control with Adaptive-adjusting Timescales for PMSMs 认领 引用 被引量：20
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作者 Feng Niu Xi Chen +4 位作者 Shaopo Huang Xiaoyan Huang Lijian Wu Kui Li Youtong Fang 《CES Transactions on Electrical Machines and Systems》 CSCD 2021年第2期108-117,共10页
A model predictive current control(MPCC)with adaptive-adjusting method of timescales for permanent magnet synchronous motors(PMSMs)is proposed in this paper to improve the dynamic response and prediction accuracy in t... A model predictive current control(MPCC)with adaptive-adjusting method of timescales for permanent magnet synchronous motors(PMSMs)is proposed in this paper to improve the dynamic response and prediction accuracy in transient-state,while lessening the computational burden and improving the control performance in steady-state.The timescale characteristics of different parts of MPCC,such as signal sampling,prediction calculation,control output,model error correction,are analyzed,and the algorithm architecture of MPCC with multi-timescale is proposed.The difference between reference and actual speed,and the change rate of actual speed are utilized to discriminate the transient state of speed change and load change,respectively.Adaptive-adjusting method of control period and prediction stepsize are illustrated in detail after operation condition discrimination.Experimental results of a PMSM are presented to validate the effectiveness of proposed MPCC.In addition,comparative evaluation of single-step MPCC with fixed timescale and proposed MPCC is conducted,which demonstrates the superiority of proposed control strategy. 展开更多
关键词 Model predictive current control(MPCC) permanent magnet synchronous motor(PMSM) multi-timescale adaptive-adjusting method
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GFTSM-based Model Predictive Torque Control for PMSM Drive System With Single Phase Current Sensor 认领 引用 被引量：4
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作者 Qingfang Teng Yuxing Jin +2 位作者 Shuyuan Li Jianguo Zhu Youguang Guo 《自动化学报》 EI CAS CSCD 北大核心 2017年第9期1644-1655,共12页
A global fast terminal sliding mode(GFTSM)-based model predictive torque control(MPTC)strategy is developed for permanent magnet synchronous motor(PMSM)drive system with only one phase current sensor.Generally two pha... A global fast terminal sliding mode(GFTSM)-based model predictive torque control(MPTC)strategy is developed for permanent magnet synchronous motor(PMSM)drive system with only one phase current sensor.Generally two phase-current sensors are indispensable for MPTC.In response to only one phase current sensor available and the change of stator resistance,a novel adaptive observer for estimating the remaining two phase currents and time-varying stator resistance is proposed to perform MPTC.Moreover,in view of the variation of system parameters and external disturbance,a new GFTSM-based speed regulator is synthesized to enhance the drive system robustness.In this paper,the GFTSM,based on sliding mode theory,employs the fast terminal sliding mode in both the reaching stage and the sliding stage.The resultant GFTSM-based MPTC PMSM drive system with single phase current sensor has excellent dynamical performance which is very close to the GFTSM-based MPTC PMSM drive system with two-phase current sensors.On the other hand,compared with proportional-integral(PI)-based and sliding mode(SM)-based MPTC PMSM drive systems,it possesses better dynamical response and stronger robustness as well as smaller total harmonic distortion(THD)index of three-phase stator currents in the presence of variation of load torque.The simulation results validate the feasibility and effectiveness of the proposed scheme. 展开更多
关键词 Adaptive observer current sensorless global fast terminal sliding mode(GFTSM) model predictive torque control(MPTC) permanent magnet synchronous motor(PMSM)
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Simplified Model Predictive Current Control for Dual Three-phase PMSM with Low Computation Burden and Switching Frequency 认领 引用 被引量：1
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作者 Huawei Zhou Xiaolong Xiang +1 位作者 Yibo Li Tao Tao 《CES Transactions on Electrical Machines and Systems》 EI CSCD 2024年第4期447-454,共8页
Finite-control-set model predictive control(FCSMPC)has advantages of multi-objective optimization and easy implementation.To reduce the computational burden and switching frequency,this article proposed a simplified M... Finite-control-set model predictive control(FCSMPC)has advantages of multi-objective optimization and easy implementation.To reduce the computational burden and switching frequency,this article proposed a simplified MPC for dual three-phase permanent magnet synchronous motor(DTPPMSM).The novelty of this method is the decomposition of prediction function and the switching optimization algorithm.Based on the decomposition of prediction function,the current increment vector is obtained,which is employed to select the optimal voltage vector and calculate the duty cycle.Then,the computation burden can be reduced and the current tracking performance can be maintained.Additionally,the switching optimization algorithm was proposed to optimize the voltage vector action sequence,which results in lower switching frequency.Hence,this control strategy can not only reduce the computation burden and switching frequency,but also maintain the steady-state and dynamic performance.The simulation and experimental results are presented to verify the feasibility of the proposed strategy. 展开更多
关键词 Computation time Current increment vector Dual three-phase permanent magnet synchronous motor(DTPPMSM) Model predictive current control(MPCC) Switching frequency
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Model predictive current control for PMSM driven by three-level inverter based on fractional sliding mode speed observer 认领 引用 被引量：5
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作者 TENG Qing-fang LUO Wei-duo 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2020年第4期358-364,共7页
Based on the fractional order theory and sliding mode control theory,a model prediction current control(MPCC)strategy based on fractional observer is proposed for the permanent magnet synchronous motor(PMSM)driven by ... Based on the fractional order theory and sliding mode control theory,a model prediction current control(MPCC)strategy based on fractional observer is proposed for the permanent magnet synchronous motor(PMSM)driven by three-level inverter.Compared with the traditional sliding mode speed observer,the observer is very simple and eases to implement.Moreover,the observer reduces the ripple of the motor speed in high frequency range in an efficient way.To reduce the stator current ripple and improve the control performance of the torque and speed,the MPCC strategy is put forward,which can make PMSM MPCC system have better control performance,stronger robustness and good dynamic performance.The simulation results validate the feasibility and effectiveness of the proposed scheme. 展开更多
关键词 permanent magnet synchronous motor(PMSM) three-level inverter fractional sliding mode speed observer model predictive current control(MPCC)
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Model Predictive Control Coupled with Artificial Intelligence for Eddy Current Dynamometers 认领 引用
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作者 İhsan Uluocak Hakan Yavuz 《Computer Systems Science & Engineering》 SCIE EI 2023年第1期221-234,共14页
The recent studies on Artificial Intelligence(AI)accompanied by enhanced computing capabilities supports increasing attention into traditional control methods coupled with AI learning methods in an attempt to bringing... The recent studies on Artificial Intelligence(AI)accompanied by enhanced computing capabilities supports increasing attention into traditional control methods coupled with AI learning methods in an attempt to bringing adap-tiveness and fast responding features.The Model Predictive Control(MPC)tech-nique is a widely used,safe and reliable control method based on constraints.On the other hand,the Eddy Current dynamometers are highly nonlinear braking sys-tems whose performance parameters are related to many processes related vari-ables.This study is based on an adaptive model predictive control that utilizes selected AI methods.The presented approach presents an updated the mathema-tical model of an Eddy Current Dynamometer based on experimentally obtained system operational data.Finally,the comparison of AI methods and related learn-ing performances based on the assessment technique of mean absolute percentage error(MAPE)issues are discussed.The results indicate that Single Hidden Layer Neural Network(SHLNN),General Regression Neural Network(GRNN),Radial Basis Network(RBNN),Neuro Fuzzy Network(ANFIS)coupled MPC have quite satisfying performances.The presented results indicate that,amongst them,GRNN appears to provide the best performance. 展开更多
关键词 Model predictive control eddy current dynamometer artificial intelligence GRNN RBNN ANFIS
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Finite Control Set Model Predictive Current Control of a Five-Phase PMSM with Virtual Voltage Vectors and Adaptive Control Set 认领 引用 被引量：11
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作者 Wusen Wang Ying Fan +1 位作者 Siyu Chen Qiushi Zhang 《CES Transactions on Electrical Machines and Systems》 CSCD 2018年第1期136-141,共6页
This paper presents an improved finite control set model predictive current control(FCS-MPCC)of a five-phase permanent magnet synchronous motor(PMSM).First,to avoid including all the 32 voltage vectors provided by a t... This paper presents an improved finite control set model predictive current control(FCS-MPCC)of a five-phase permanent magnet synchronous motor(PMSM).First,to avoid including all the 32 voltage vectors provided by a two-level five-phase inverter into the control set,virtual voltage vectors are adopted.As the third current harmonics can be much reduced by virtual voltage vectors automatically,the harmonic items in the cost function of conventional FCS-MPCC are not considered.Furthermore,an adaptive control set is proposed based on voltage prediction.Best control set with proper voltage vector amplitude corresponding to different rotor speed can be achieved by this method.Consequently,current ripples can be largely reduced and the system performs much better.At last,simulations are established to verify the steady and transient performance of the proposed FCS-MPCC,and experiments based on a 2 kW five-phase motor are carried out.The results have validated the performance improvement of the proposed control strategy. 展开更多
关键词 Adaptive control set current ripple finite control set model predictive current control(FCS-MPCC) permanent magnet synchronous motor(PMSM) virtual voltage vectors
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Zero-Sequence Current Suppression Strategy for Open-End Winding Permanent Magnet Synchronous Motor Based on Model Predictive Control 认领 引用
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作者 LIU Huashan LI Jie YAO Fei 《Journal of Donghua University(English Edition)》 CAS 2020年第4期286-292,共7页
Compared with the traditional three-phase star connection winding,the open-end winding permanent magnet synchronous motor(OW-PMSM)system with a common direct current(DC)bus has a zero-sequence circuit,which makes the ... Compared with the traditional three-phase star connection winding,the open-end winding permanent magnet synchronous motor(OW-PMSM)system with a common direct current(DC)bus has a zero-sequence circuit,which makes the common-mode voltage and the back electromotive force(EMF)harmonic generated by the inverters produce the zero-sequence current in the zero-sequence circuit,and the zero-sequence current has great influence on the operation efficiency and stability of the motor control system.A zero-sequence current suppression strategy is presented based on model predictive current control for OW-PMSM.Through the mathematical model of OW-PMSM to establish the predictive model and the zero-sequence circuit model,the common-mode voltage under different voltage vector combinations is fully considered during vector selection and action time calculation.Then zero-sequence loop constraints are established,so as to suppress the zero-sequence current.In the end,the control strategy proposed in this paper is verified by simulation experiments. 展开更多
关键词 open-end winding permanent magnet synchronous motor(OW-PMSM) zero-sequence current harmonic model predictive current control common-mode voltage
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Load Torque Compensator for Model Predictive Direct Current Control in High Power PMSM Drive Systems 认领 引用 被引量：1
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作者 M. Preindl E. Schaltz 《Journal of Energy and Power Engineering》 CAS 2011年第6期554-561,共8页
The widely used cascade speed and torque controllers have a limited control performance in most high power applications due to the low switching frequency of power electronic converters and the convenience to avoid sp... The widely used cascade speed and torque controllers have a limited control performance in most high power applications due to the low switching frequency of power electronic converters and the convenience to avoid speed overshoots and oscillations for lifetime considerations. Model Predictive Direct Current Control （MPDCC） leads to an increase of torque control performance taking into account the discrete nature of inverters but temporary offsets and poor responses to load torque variations are still issues in speed control. A load torque estimator is proposed in this paper in order to further improve dynamic behavior. It compensates the load torque influence on the speed control setting a feed forward torque reference value. The benefits are twice; the speed controller reaches the speed reference value without offsets which would need to be compensated by an integrator and a better response to load torque variations is obtained since they are detected and compensated leading to small speed variations. Moreover, the influence of pararneter errors and disturbances has been analyzed and limited so that they play a minor role in operation. 展开更多
关键词 Drive systems model predictive control （MPC） current control switching frequency optimization.
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Distributed Model Predictive Load Frequency Control of Multi-area Power System with DFIGs 认领 引用 被引量：19
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作者 Yi Zhang Xiangjie Liu Bin Qu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2017年第1期125-135,共11页
Reliable load frequency control LFC is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-Area interconnected power system with wind turbines, this paper presen... Reliable load frequency control LFC is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-Area interconnected power system with wind turbines, this paper presents a distributed model predictive control DMPC based on coordination scheme. The proposed algorithm solves a series of local optimization problems to minimize a performance objective for each control area. The generation rate constraints GRCs, load disturbance changes, and the wind speed constraints are considered. Furthermore, the DMPC algorithm may reduce the impact of the randomness and intermittence of wind turbine effectively. A performance comparison between the proposed controller with and without the participation of the wind turbines is carried out. Analysis and simulation results show possible improvements on closed-loop performance, and computational burden with the physical constraints. © 2014 Chinese Association of Automation. 展开更多
关键词 Asynchronous generators Electric control equipment Electric fault currents Electric frequency control Electric load management Electric power systems Model predictive control Optimization Press load control Wind Wind turbines
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Model Predictive Current Control of Permanent Magnet Synchronous Linear Motor Based on Expanded Control Set 认领 引用
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作者 Qiaoling Yang Huijun Shi +1 位作者 Shunwu Liu Yong Chang 《Chinese Journal of Electrical Engineering》 EI CSCD 2026年第1期333-343,共11页
Finite control set model predictive current control(FCS-MPCC)often induces notable thrust fluctuations and elevated current harmonics in permanent magnet synchronous linear motor(PMSLM)drives.These issues primarily ar... Finite control set model predictive current control(FCS-MPCC)often induces notable thrust fluctuations and elevated current harmonics in permanent magnet synchronous linear motor(PMSLM)drives.These issues primarily arise due to the limited number of available voltage vectors,which compromise steady-state accuracy.To address this problem,a model predictive current control strategy utilizing an expanded control set is proposed.In this approach,virtual voltage vectors are synthesized from the fundamental voltage vectors,expanding the control set to include 38 candidate vectors.Using current prediction equations and a value function,the optimal candidate region is identified by preselecting a central voltage vector,which significantly reduces the number of required optimization searches.The voltage vectors within this region are evaluated at two distinct prediction times.After analyzing the results from both moments,the voltage vector that yields the smallest current prediction error is selected as the optimal control input.A simulation analysis is conducted to validate the effectiveness of the proposed method.The results demonstrate that,compared to conventional FCS-MPCC,the expanded control set approach significantly reduces current harmonics and thrust fluctuations,while also mitigating the increase in switching frequency typically associated with a larger control set. 展开更多
关键词 Permanent magnet synchronous linear motor model predictive current control virtual voltage vector expanded control set
Predictive current control system of PMSM based on LADRC 认领 引用 被引量：5
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作者 Wang Xiaopeng Zhao Jun +1 位作者 Wang Bohui Li Baomin 《Journal of Southeast University(English Edition)》 EI CAS 2022年第3期227-234,共8页
For a permanent magnet synchronous motor(PMSM)model predictive current control(MPCC)system,when the speed loop adopts proportional-integral(PI)control,speed regulation is easily affected by motor parameters,resulting ... For a permanent magnet synchronous motor(PMSM)model predictive current control(MPCC)system,when the speed loop adopts proportional-integral(PI)control,speed regulation is easily affected by motor parameters,resulting in the inability to balance the system robustness and dynamic performance.A PMSM optimal control strategy combining linear active disturbance rejection control(LADRC)and two-vector MPCC(TV-MPCC)is proposed.Firstly,a mathematical model of a PMSM is presented,and the PMSM TV-MPCC model is developed in the synchronous rotation coordinate system.Secondly,a first-order LADRC controller composed of a linear extended state observer and linear state error feedback is designed to reduce the complexity of parameter tuning while linearly simplifying the traditional active disturbance rejection control(ADRC)structure.Finally,the conventional PI speed regulator in the motor speed control system is replaced by the designed LADRC controller.The simulation results show that the speed control system using LADRC can effectively deal with the changes in motor parameters and has better robustness and dynamic performance than PI control and similar methods.The system has a fast motor speed response,small overshoot,strong anti-interference,and no steady-state error,and the total harmonic distortion is reduced. 展开更多
关键词 permanent magnet synchronous motor(PMSM) two-vector model predictive current control linear active disturbance rejection control speed control system
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Simulation on model predictive control for PMSM drive system based on double extended state observer 认领 引用 被引量：4
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作者 CUI Hong-wei TENG Qing-fang +1 位作者 ZHU Jian-guo GUO You-guang 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2018年第4期380-387,共8页
A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to... A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current sensor.In general,to achieve high-precision control,two-phase current sensors are necessary for successful implementation of MPTC.For this purpose,two ESOs are used to estimate q-axis current and stator resistance respectively,and then based on this,d-axis current is estimated.Moreover,to reduce torque and flux ripple and to improve the performance of the torque and speed,MPTC strategy is designed.The simulation results validate the feasibility and effectiveness of the proposed scheme. 展开更多
关键词 double extended state observer(DESO) model predictive torque control(MPTC) permanent magnet synchronous motor(PMSM)drive system without current sensor
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PMSLM-MPCC系统逆变器非线性补偿策略 认领 引用
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作者 张慧 缪仲翠 +1 位作者 董利元 丰玉鑫 《南开大学学报（自然科学版）》 CAS CSCD 北大核心 2026年第1期9-16,共8页
模型预测电流控制因其独特的优越性,已广泛应用于永磁同步直线电机驱动系统.然而,由于逆变器存在死区时间、功率器件开通/关断延时及开关管压降等非线性因素,系统输出电压容易发生畸变,从而影响模型预测电流控制的性能.为解决这一问题,... 模型预测电流控制因其独特的优越性,已广泛应用于永磁同步直线电机驱动系统.然而,由于逆变器存在死区时间、功率器件开通/关断延时及开关管压降等非线性因素,系统输出电压容易发生畸变,从而影响模型预测电流控制的性能.为解决这一问题,提出了一种结合直轴注入电流法与拉格朗日插值法的误差电压计算方法.该方法首先通过直轴注入电流法建立误差电压与电流幅值之间的映射关系,并利用拉格朗日插值法精确获得误差电压,从而实现逆变器非线性误差电压的前馈补偿.仿真结果表明,所提方法能够有效地进行暂态和稳态补偿,显著改善电流波形,抑制由于逆变器非线性效应引起的电流谐波畸变. 展开更多
关键词 永磁同步直线电机 模型预测电流控制 误差电压补偿 拉格朗日插值法
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基于改进型FCS-MPCC策略的光伏发电系统抗扰性研究 认领 引用
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作者 倪佳玲 李柯 +2 位作者 朱毅轩 周猛 倪越峰 《电力电子技术》 2026年第4期37-49,共13页
提高光伏(photovoltaic,PV)发电效率,降低PV发电的功率损耗是目前PV发电领域研究的热点和难点。有限控制集模型预测电流控制(finite control set model predictive current control,FCS-MPCC)算法能有效提高PV并网逆变器发电效率,但该... 提高光伏(photovoltaic,PV)发电效率,降低PV发电的功率损耗是目前PV发电领域研究的热点和难点。有限控制集模型预测电流控制(finite control set model predictive current control,FCS-MPCC)算法能有效提高PV并网逆变器发电效率,但该算法在系统运行过程中需要计算各种开关状态,运算量大,会存在控制延时,导致系统运行不稳定、鲁棒性较差等问题。基于此,本文提出了改进型FCS-MPCC策略,该策略通过两拍电流预测,并通过代函数值来优选开关状态,解决控制过程中出现的计算延时,能有效改善参考电流阶跃变化时并网功率和并网电流峰值较大等问题,在提高发电效率的同时,还能提高PV发电系统抗扰性能。最后,在Matlab/Simulink仿真软件平台上对各种扰动工况下的控制策略进行了对比仿真验证实验,结果表明本文所提算法具有更好的鲁棒性。 展开更多
关键词 光伏发电 有限控制集模型预测电流控制 延时 抗扰性能 两拍电流预测
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基于模型参考自适应参数辨识的永磁同步电机有限状态集MPCC 认领 引用 被引量：6
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作者 李耀华 郭伟超 +7 位作者 种国臣 王自臣 王钦政 高赛 徐志雄 刘亚辉 张茜 黄汉旋 《电机与控制应用》 2025年第6期596-607,共12页
【目的】针对永磁同步电机的有限状态集模型预测电流控制(FCS-MPCC)参数失配导致的控制性能下降的问题,采用模型参考自适应系统(MRAS)对电机参数进行辨识,以提高FCS-MPCC的参数鲁棒性。【方法】首先,对FCS-MPCC进行参数失配鲁棒性分析;... 【目的】针对永磁同步电机的有限状态集模型预测电流控制(FCS-MPCC)参数失配导致的控制性能下降的问题,采用模型参考自适应系统(MRAS)对电机参数进行辨识,以提高FCS-MPCC的参数鲁棒性。【方法】首先,对FCS-MPCC进行参数失配鲁棒性分析;然后,为解决传统MRAS方法辨识3个参数的欠秩问题,仅对影响较大的电感与磁链2个参数进行辨识,使FCS-MPCC具有更强的参数鲁棒性;最后,分析MRAS模型电阻参数失配对辨识结果与电机控制性能的影响。【结果】为了验证所提方法的有效性,基于Matlab/Simulink平台进行了仿真分析。模型电阻参数设置正确下MRAS可以准确辨识出电感与磁链的实际值,辨识精度高。虽然FCS-MPCC与MRAS仍需设置电阻参数,且电阻参数失配对MRAS辨识磁链参数结果影响较大,但由于FCS-MPCC对参数变化具有一定的鲁棒性,这种影响体现在FCS-MPCC上较小。【结论】FCS-MPCC采用成本函数寻最小的非定量控制环节来确定最优电压矢量,减弱参数失配的影响,具有一定的参数鲁棒性。电阻参数失配影响较小,无需精确辨识,仅需估计电感和磁链,从而避免欠秩问题。电阻参数会影响MRAS对电感和磁链的辨识效果,但对FCS-MPCC影响较小。 展开更多
关键词 永磁同步电机 模型预测电流控制 参数失配鲁棒性 参数辨识 模型参考自适应系统
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永磁同步电机改进MPCC及广义预测速度复合控制 认领 引用 被引量：2
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作者 吕德刚 张泽冉 刘站卓 《哈尔滨理工大学学报》 CAS 北大核心 2025年第2期104-113,共10页
针对传统模型预测电流控制和传统转速控制中的稳态性能较差、电流和转矩波动大、非线性系统受采样时间影响过大和转速跟踪不准确等问题,提出了一种新型永磁同步电机复合控制策略。在改进占空比模型预测电流控制基础上,设计了永磁同步电... 针对传统模型预测电流控制和传统转速控制中的稳态性能较差、电流和转矩波动大、非线性系统受采样时间影响过大和转速跟踪不准确等问题,提出了一种新型永磁同步电机复合控制策略。在改进占空比模型预测电流控制基础上,设计了永磁同步电机矢量控制系统广义预测转速控制器,使电机实际转速快速准确跟踪给定转速值,令采样时间选择更为灵活。由于非线性广义预测控制是一种基于模型的预测控制方法,未考虑外部扰动及参数变化,因此,加入基于扩展状态观测器的扰动补偿方法,有效抑制了扰动及参数变化对系统性能的影响。仿真和实验结果表明,所设计的新型复合控制策略,具有良好的转速响应速度,动态性能好,电流和转矩波动小。 展开更多
关键词 永磁同步电机 转速控制 模型预测电流控制 广义预测控制 扰动补偿 扩展状态观测器
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Disturbance-rejection Model Predictive Current Control for Dual-three-phase Permanent Magnet Synchronous Generators with Harmonic Subspace Consideration 认领 引用
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作者 Zhengqi Wang Jun Huo +2 位作者 Wenxiang Zhao Qiang Zhang Hao Chang 《Chinese Journal of Electrical Engineering》 EI CSCD 2025年第4期227-242,共16页
To address harmonic current proliferation and parameter sensitivity in conventional vector model predictive control(V-MPC)for dual-three-phase permanent magnet synchronous generators(DTP-PMSGs),a harmonic subspace-inc... To address harmonic current proliferation and parameter sensitivity in conventional vector model predictive control(V-MPC)for dual-three-phase permanent magnet synchronous generators(DTP-PMSGs),a harmonic subspace-incorporated disturbance-rejection MPC strategy is proposed.First,an enhanced virtual voltage vector synthesis technique is developed in which three optimal voltage vectors per control sector are strategically combined to achieve full-amplitude and omnidirectional voltage coverage,eliminating harmonic subspace excitation.Second,a super-twisting integral disturbance observer is designed to dynamically estimate and compensate for parameter mismatches and nonlinear rectification disturbances,thereby enhancing the robustness against model inaccuracies.Third,a composite harmonic suppression controller is proposed to replace traditional PI regulators,enabling zero-steady-state error tracking of fundamental currents while actively attenuating harmonic subspace components.Experimental validations confirm that the proposed methodology improves the fundamental current-tracking accuracy,significantly suppresses harmonic currents,and maintains a robust dynamic response under parameter variations. 展开更多
关键词 Dual-three-phase permanent magnet synchronous generator harmonic current suppression model predictive current control super-twisting integral sliding mode observer composite controller
基于单电流传感器的开关磁阻电机模型预测电流控制 认领 引用 被引量：1
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作者 蒯松岩 魏伟 +2 位作者 吴文杨 李豫鲁 胡堃 《电工技术学报》 EI CSCD 北大核心 2026年第8期2578-2589,共12页
为了降低多个电流传感器导致的驱动系统成本和体积升高,同时提高电流控制性能,该文提出一种基于单电流传感器的开关磁阻电机模型预测控制方法。该方法在电机单相导通区域,借助单个母线电流传感器直接获取导通相电流;而在两相导通区域,... 为了降低多个电流传感器导致的驱动系统成本和体积升高,同时提高电流控制性能,该文提出一种基于单电流传感器的开关磁阻电机模型预测控制方法。该方法在电机单相导通区域,借助单个母线电流传感器直接获取导通相电流;而在两相导通区域,使用双矢量合成的方法,在单个控制周期中构造出多个开关状态组合。再通过母线电流传感器多次采样分离重构出各相相电流,同时双矢量合成方式也有效降低了电流脉动。最后通过实验验证单电流传感器相电流重构及电流跟踪效果。实验结果表明,所提方法具有较好的控制效果,且在稳态、负载转矩以及转速突变的情况下,所提单电流传感器相电流重构方法能够很好地分离重构出各相相电流。 展开更多
关键词 开关磁阻电机 模型预测电流控制 双矢量模型预测控制 单电流传感器
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基于参数辨识的永磁辅助同步磁阻电机双矢量模型预测电流控制 认领 引用 被引量：4
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作者 许爱德 刘睿杰 余煜邦 《电机与控制学报》 EI CSCD 北大核心 2026年第1期59-69,共11页
针对永磁辅助同步磁阻电机双矢量模型预测电流控制运行时电感参数易受外界扰动,导致电流波动较大跟踪精度变差的问题,本文提出基于参数辨识的双矢量模型预测电流控制算法。所提算法以电流跟踪公式所得矢量作用时间为基础,综合考虑d、q... 针对永磁辅助同步磁阻电机双矢量模型预测电流控制运行时电感参数易受外界扰动,导致电流波动较大跟踪精度变差的问题,本文提出基于参数辨识的双矢量模型预测电流控制算法。所提算法以电流跟踪公式所得矢量作用时间为基础,综合考虑d、q轴电流跟踪特性,从而得到更准确的电压矢量作用时间。采用模型参考自适应系统对电感参数进行在线辨识,利用辨识结果实时修改模型参数,确保控制器的电感参数与实际参数相匹配,进而提升双矢量模型预测电流控制系统的稳定性。最后在仿真平台与实验平台对所提算法可行性进行验证,结果表明,当电机参数失配时,所提算法可以有效改善电流跟踪静差与电流波动问题,提高了系统鲁棒性。 展开更多
关键词 参数辨识 模型参考自适应 参数敏感性 永磁辅助同步磁阻电机 双矢量模型预测电流控制
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Control Strategies for Modular Multilevel Converters (MMC) 认领 引用
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作者 Rui Luo 《控制工程期刊（中英文版）》 2025年第1期9-15,共7页
Modular Multilevel Converters(MMC)have emerged as a key technology for medium-to high-voltage power conversion applications such as HVDC transmission,large-scale renewable integration,and flexible AC transmission syst... Modular Multilevel Converters(MMC)have emerged as a key technology for medium-to high-voltage power conversion applications such as HVDC transmission,large-scale renewable integration,and flexible AC transmission systems.Despite their superior performance and modularity,MMCs present complex control challenges due to their multi-level structure,numerous submodules,and circulating currents.This paper comprehensively reviews advanced control strategies developed for MMCs,including fundamental current and voltage balancing controls,sophisticated switching algorithms,and multifunctional approaches addressing harmonic suppression,power factor correction,and fault tolerance.Emphasis is placed on modern methods such as model predictive control,adaptive and robust controls that accommodate system nonlinearities and parameter uncertainties.Implementation aspects,including digital control hardware and the impact of control delays,are also discussed.The paper highlights recent advancements that improve system stability,efficiency,and reliability,thus facilitating MMC deployment in evolving power grids with high renewable penetration and stringent grid code requirements. 展开更多
关键词 Modular Multilevel Converter Control Strategies Voltage Balancing Circulating Current Model Predictive Control Harmonic Suppression Fault-Tolerant Control
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