期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到596篇文章
< 1 2 … 30 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Seismic Data Reconstruction and Noise Suppression Based on an Improved Weighted Fast Projection onto Convex Sets Algorithm 认领 引用
1
作者 Cheng Gao-peng Zhang Hua +3 位作者 Li Hong-xing Song Yu Yue Ming Zhang Kai-dong 《Applied Geophysics》 SCIE CSCD 2026年第1期336-351,433,434,共16页
In eld seismic data acquisition,seismic traces are often aected by substantial data gaps and strong noise interference due to environmental and instrumental factors,thus degrading the resolution and signalto-noise rat... In eld seismic data acquisition,seismic traces are often aected by substantial data gaps and strong noise interference due to environmental and instrumental factors,thus degrading the resolution and signalto-noise ratio(SNR)of the seismic profiles.Effective seismic data reconstruction and noise suppression techniques are therefore essential to recover missing signals and improve data quality.In this study,a fast projection onto convex sets(FPOCS)algorithm is proposed by incorporating an inertial parameter that involves a linear combination of the two preceding iterations based on the traditional projection onto convex sets(POCS)algorithm.Then,a weighting factor is introduced to achieve simultaneous data reconstruction and noise suppression using the weighted fast projection onto convex sets(WFPOCS)algorithm.To further suppress residual random noise in the updated solution,an optimization strategy is adopted by swapping the order of the iterative hard thresholding operator and the projection operator.The nal algorithm,termed the improved weighted fast projection onto convex sets(IWFPOCS),achieves high-efciency reconstruction and effective noise suppression.Compared with WFPOCS,the proposed method maintains fast reconstruction speed while demonstrating superior denoising performance on irregularly missing and noisy datasets.Field data experiments conrm that the proposed method signicantly improves the SNR and resolution of seismic data,oering strong practical potential for subsequent processing and interpretation. 展开更多
关键词 Seismic data reconstruction Fast projection onto convex set algorithm Curvelet transform Weighted fast projection onto convex set algorithm Noise suppression
暂未订购 下载PDF
Improved algorithm of multi-mainlobe interference suppression under uncorrelated and coherent conditions 认领 引用 被引量：1
2
作者 CAI Miaohong CHENG Qiang +1 位作者 MENG Jinli ZHAO Dehua 《Journal of Southeast University(English Edition)》 EI CAS 2025年第1期84-90,共7页
A new method based on the iterative adaptive algorithm(IAA)and blocking matrix preprocessing(BMP)is proposed to study the suppression of multi-mainlobe interference.The algorithm is applied to precisely estimate the s... A new method based on the iterative adaptive algorithm(IAA)and blocking matrix preprocessing(BMP)is proposed to study the suppression of multi-mainlobe interference.The algorithm is applied to precisely estimate the spatial spectrum and the directions of arrival(DOA)of interferences to overcome the drawbacks associated with conventional adaptive beamforming(ABF)methods.The mainlobe interferences are identified by calculating the correlation coefficients between direction steering vectors(SVs)and rejected by the BMP pretreatment.Then,IAA is subsequently employed to reconstruct a sidelobe interference-plus-noise covariance matrix for the preferable ABF and residual interference suppression.Simulation results demonstrate the excellence of the proposed method over normal methods based on BMP and eigen-projection matrix perprocessing(EMP)under both uncorrelated and coherent circumstances. 展开更多
关键词 mainlobe interference suppression adaptive beamforming spatial spectral estimation iterative adaptive algorithm blocking matrix preprocessing
暂未订购 下载PDF
A noise suppression method for interferometric fiber optic sensor based on ameliorated EFA and adaptive SVMD 认领 引用
3
作者 PENG Meng-fan ZHOU Ci-ming +5 位作者 PAN Zhen JIANG Han LI Ao WANG Tian-yi LIU Han-jie FAN Dian 《中国光学（中英文）》 EI CAS CSCD 北大核心 2026年第2期395-406,共12页
Noise interference critically impairs the stability and data accuracy of sensing systems.However,current suppression strategies fail to concurrently mitigate intrinsic system noise and extrinsic environmental noise.Th... Noise interference critically impairs the stability and data accuracy of sensing systems.However,current suppression strategies fail to concurrently mitigate intrinsic system noise and extrinsic environmental noise.This study introduces a composite denoising approach to address this challenge.This method is based on the ameliorated ellipse fitting algorithm(AEFA)and adaptive successive variational mode decomposition(ASVMD).This algorithm employs AEFA to eliminate system noise tightly coupled with direct-current and alternating-current components in the interference signal,thereby obtaining a phase signal containing only environmental noise.The ASVMD technique adaptively extracts environmental noise components predominantly present in the phase signal.To achieve optimal decomposition results automatically,the permutation entropy criterion is employed to refine decomposition parameters.The correlation coefficient is utilized to differentiate effective components from noise components in the decomposition results.Experimental results indicate that the combined AEFA and ASVMD algorithm effectively suppresses both system and environmental noises.When applied to 50 Hz vibration signal processing,the proposed approach achieves a noise reduction of 17.81 dB and a phase resolution of 35.14μrad/√Hz.Given the excellent performance of the noise suppression,the proposed approach holds great application potential in high-performance interferometric sensing systems. 展开更多
关键词 interferometric fiber optic vibration sensor ellipse fitting algorithm successive variational mode decomposition noise suppression
暂未订购 下载PDF
Optimization Design of Fairings for VIV Suppression Based on Data-Driven Models and Genetic Algorithm 认领 引用 被引量：1
4
作者 LIU Xiu-quan JIANG Yong +3 位作者 LIU Fu-lai LIU Zhao-wei CHANG Yuan-jiang CHEN Guo-ming 《China Ocean Engineering》 SCIE EI CSCD 2021年第1期153-158,共6页
Vortex induced vibration(VIV)is a challenge in ocean engineering.Several devices including fairings have been designed to suppress VIV.However,how to optimize the design of suppression devices is still a problem to be... Vortex induced vibration(VIV)is a challenge in ocean engineering.Several devices including fairings have been designed to suppress VIV.However,how to optimize the design of suppression devices is still a problem to be solved.In this paper,an optimization design methodology is presented based on data-driven models and genetic algorithm(GA).Data-driven models are introduced to substitute complex physics-based equations.GA is used to rapidly search for the optimal suppression device from all possible solutions.Taking fairings as example,VIV response database for different fairings is established based on parameterized models in which model sections of fairings are controlled by several control points and Bezier curves.Then a data-driven model,which can predict the VIV response of fairings with different sections accurately and efficiently,is trained through BP neural network.Finally,a comprehensive optimization method and process is proposed based on GA and the data-driven model.The proposed method is demonstrated by its application to a case.It turns out that the proposed method can perform the optimization design of fairings effectively.VIV can be reduced obviously through the optimization design. 展开更多
关键词 optimization design vortex induced vibration suppression devices data-driven models BP neural network genetic algorithm
暂未订购 下载PDF
Novel Retinex algorithm by interpolation and adaptive noise suppression 认领 引用 被引量：1
5
作者 李武劲 古博 +1 位作者 黄江涛 王明辉 《Journal of Central South University》 SCIE EI CAS 2012年第9期2541-2547,共7页
In order to improve image quality, a novel Retinex algorithm for image enhancement was presented. Different from conventional algorithms, it was based on certain defined points containing the illumination information ... In order to improve image quality, a novel Retinex algorithm for image enhancement was presented. Different from conventional algorithms, it was based on certain defined points containing the illumination information in the intensity image to estimate the illumination. After locating the points, the whole illumination image was computed by an interpolation technique. When attempting to recover the reflectance image, an adaptive method which can be considered as an optimization problem was employed to suppress noise in dark environments and keep details in other areas. For color images, it was taken in the band of each channel separately. Experimental results demonstrate that the proposed algorithm is superior to the traditional Retinex algorithms in image entropy. 展开更多
关键词 Retinex algorithm illumination estimation interpolation adaptive noise suppression
暂未订购 下载PDF
Vibration Suppression for Active Magnetic Bearings Using Adaptive Filter with Iterative Search Algorithm 认领 引用 被引量：3
6
作者 Jin-Hui Ye Dan Shi +2 位作者 Yue-Sheng Qi Jin-Hui Gao Jian-Xin Shen 《CES Transactions on Electrical Machines and Systems》 EI CSCD 2024年第1期61-71,共11页
Active Magnetic Bearing(AMB) is a kind of electromagnetic support that makes the rotor movement frictionless and can suppress rotor vibration by controlling the magnetic force. The most common approach to restrain the... Active Magnetic Bearing(AMB) is a kind of electromagnetic support that makes the rotor movement frictionless and can suppress rotor vibration by controlling the magnetic force. The most common approach to restrain the rotor vibration in AMBs is to adopt a notch filter or adaptive filter in the AMB controller. However, these methods cannot obtain the precise amplitude and phase of the compensation current. Thus, they are not so effective in terms of suppressing the vibrations of the fundamental and other harmonic orders over the whole speed range. To improve the vibration suppression performance of AMBs,an adaptive filter based on Least Mean Square(LMS) is applied to extract the vibration signals from the rotor displacement signal. An Iterative Search Algorithm(ISA) is proposed in this paper to obtain the corresponding relationship between the compensation current and vibration signals. The ISA is responsible for searching the compensating amplitude and shifting phase online for the LMS filter, enabling the AMB controller to generate the corresponding compensation force for vibration suppression. The results of ISA are recorded to suppress vibration using the Look-Up Table(LUT) in variable speed range. Comprehensive simulations and experimental validations are carried out in fixed and variable speed range, and the results demonstrate that by employing the ISA, vibrations of the fundamental and other harmonic orders are suppressed effectively. 展开更多
关键词 Active Magnetic Bearing(AMB) Adaptive filter Iterative search algorithm Least mean square(LMS) Vibration suppression
暂未订购 下载PDF
Optimizing wide-range laser frequency noise characterization via delayed self-heterodyne 认领 引用
7
作者 Yiming Wang Gang Zhao +3 位作者 Ruchan Cai Peng Chen Jia Wang Liang Xie 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期81-96,共16页
Systematic optimization of the delayed self-heterodyne method for laser frequency noise characterization is investigated across an extensive linewidth range(100 Hz to 10 MHz).By evaluating various fiber lengths,window... Systematic optimization of the delayed self-heterodyne method for laser frequency noise characterization is investigated across an extensive linewidth range(100 Hz to 10 MHz).By evaluating various fiber lengths,window functions,and five demodulation algorithms,we identify a critical trade-off:long fibers enhance sensitivity for narrow-linewidth lasers but exacerbate spectral leakage in broad-linewidth sources.Our findings demonstrate that Hanning and Blackman windows effectively suppress this leakage,ensuring measurement consistency across different delay lengths.Among the evaluated algorithms,the Hilbert transform offers the superior balance of high-frequency accuracy and computational efficiency.Validated under lowpower conditions,this optimized framework provides a robust and power-independent methodology for precise FN analysis,offering significant guidance for high-performance laser development. 展开更多
关键词 laser frequency noise delayed self-heterodyne spectral leakage suppression demodulation algorithms
暂未订购 下载PDF
基于GA优化的LQR控制对分数阶VSG功率振荡抑制的研究 认领 引用
8
作者 朱军 陈正彬 +3 位作者 陈建堂 魏好卓 刘鹏辉 杨明 《电力科学与技术学报》 CAS CSCD 北大核心 2026年第3期295-306,共12页
针对虚拟同步发电机(virtual synchronous generator,VSG)在外界扰动时存在的功率振荡问题,设计了一种基于遗传算法(genetic algorithm,GA)优化的线性二次型调节器(linear quadratic regulator,LQR),用于抑制VSG的功率振荡。通过建立VS... 针对虚拟同步发电机(virtual synchronous generator,VSG)在外界扰动时存在的功率振荡问题,设计了一种基于遗传算法(genetic algorithm,GA)优化的线性二次型调节器(linear quadratic regulator,LQR),用于抑制VSG的功率振荡。通过建立VSG功率环的小信号模型,设计状态反馈LQR控制器;为了优化控制性能,利用GA对LQR的权重矩阵参数进行离线寻优;将权重优化后的LQR控制律应用于分数阶VSG。仿真结果表明,相较于传统VSG控制,所提控制策略可以有效抑制功率的振荡,使动态时有功和无功功率的振荡超调量分别降低19.1%、28.3%,振荡过程减小了2.1 s。 展开更多
关键词 虚拟同步发电机 遗传算法 线性二次型调节器 分数阶微积分 振荡抑制
暂未订购 下载PDF
基于TDOA的误差抑制Chan-Taylor加权算法 认领 引用
9
作者 黄孙港 孙曾阳 +1 位作者 刘罡 于庆南 《信息技术》 2026年第5期1-9,共9页
针对超宽带(UWB)定位技术在非视距(NLOS)环境下误差较大,定位精度低的问题,文中提出了一种基于到达时间差(TDOA)的误差抑制Chan-Taylor加权算法。首先,基于TDOA定位方法进行位置初估计;然后,设计了基于补偿时延误差值的NLOS误差抑制机制... 针对超宽带(UWB)定位技术在非视距(NLOS)环境下误差较大,定位精度低的问题,文中提出了一种基于到达时间差(TDOA)的误差抑制Chan-Taylor加权算法。首先,基于TDOA定位方法进行位置初估计;然后,设计了基于补偿时延误差值的NLOS误差抑制机制;最后,使用Chan算法估计值作为Taylor算法的初始值进行迭代,设定加权系数获取最终位置估计值。仿真结果表明,文中算法在NLOS环境下最小RMSE值为0.3124m,平均RMSE值为0.4773m,平均定位精度相较对比算法提升约28%。因此,基于TDOA的误差抑制Chan-Taylor加权算法可以有效提升NLOS环境下的定位精度,且具有更高的稳定性和可靠性。 展开更多
关键词 UWB定位 非视距 误差抑制 Chan算法 Taylor算法
暂未订购 下载PDF
自适应与多目标优化的VSG低频振荡TD3 控制策略 认领 引用
10
作者 李永刚 周鹤然 +1 位作者 周一辰 魏凡超 《辽宁工程技术大学学报（自然科学版）》 CAS 北大核心 2026年第1期98-106,共9页
针对虚拟同步机(VSG)接入弱电网频发的低频振荡问题,提出一种融合动态惯量-阻尼协同调节与多模态双延迟深度确定性策略梯度算法的VSG智能控制方法。构建包含动态惯性-阻尼调节机制的增强型VSG模型,基于频率波动标准差与变化率的实时监测... 针对虚拟同步机(VSG)接入弱电网频发的低频振荡问题,提出一种融合动态惯量-阻尼协同调节与多模态双延迟深度确定性策略梯度算法的VSG智能控制方法。构建包含动态惯性-阻尼调节机制的增强型VSG模型,基于频率波动标准差与变化率的实时监测,设计参数连续自适应算法,实现惯量常数H和阻尼系数D的动态协同优化。设计深度前馈神经网络的振荡感知型定性策略梯度算法(TD3),采用双状态经验回放缓冲区结构,将低频振荡特征向量嵌入训练样本,并构建包含频率偏差惩罚、电压偏移抑制和振荡能量约束的多目标奖励函数。仿真和实际算例结果表明,该策略可实现VSG低频振荡的在线快速准确评估,增强系统阻尼与惯量,减少低频振荡风险,改善系统的稳定性。 展开更多
关键词 虚拟同步机 低频振荡抑制 阻尼系数 动态惯量调节 双延迟深度确定性策略梯度算法
暂未订购 下载PDF
基于海鸥算法的电力系统谐振自适应抑制 认领 引用
11
作者 杨康 倪杰 +2 位作者 周航 李蓝青 李言 《电子设计工程》 2026年第5期137-141,共5页
为了在降低电力系统损耗的同时有效控制系统谐振,提出基于海鸥算法的电力系统谐振自适应抑制方法。利用并联式有源滤波器(APF)检测电力系统中的低次谐波,实时监测并反馈滤波电容中的电流变化,生成反向补偿电流。构建以最大化抑制输出响... 为了在降低电力系统损耗的同时有效控制系统谐振,提出基于海鸥算法的电力系统谐振自适应抑制方法。利用并联式有源滤波器(APF)检测电力系统中的低次谐波,实时监测并反馈滤波电容中的电流变化,生成反向补偿电流。构建以最大化抑制输出响应幅值为目标,同时满足衰减系数、幅值误差、滤波电容等约束条件的LCL滤波器优化数学模型。采用海鸥算法求解该模型,利用优化后的LCL滤波器将反向补偿电流引入APF控制回路,通过反向补偿电流动态调整APF输出,实现电力系统谐振自适应抑制。实验结果表明,该方法可有效抑制电力系统谐振,使5次、10次谐波电流分别降低至0.076%、0.095%,证实了优化后的LCL滤波器在谐振抑制方面表现出色。 展开更多
关键词 海鸥算法 谐振抑制 有源滤波器 谐波 电容电流反馈 APF控制回路
暂未订购 下载PDF
综掘工作面长压短抽控风除尘关键参数优化 认领 引用
12
作者 许圣东 郑磊 +1 位作者 雷霆 丁志权 《工矿自动化》 CSCD 北大核心 2026年第6期127-134,共8页
针对煤矿综掘工作面长压短抽控风除尘系统中关键参数耦合复杂、依赖经验调控导致降尘效率不高的问题,提出了一种综掘工作面长压短抽控风除尘关键参数优化方法。该方法采用BP神经网络与策略梯度(PG)算法构建BP+PG融合模型,其中BP神经网... 针对煤矿综掘工作面长压短抽控风除尘系统中关键参数耦合复杂、依赖经验调控导致降尘效率不高的问题,提出了一种综掘工作面长压短抽控风除尘关键参数优化方法。该方法采用BP神经网络与策略梯度(PG)算法构建BP+PG融合模型,其中BP神经网络构建抽出风量、径−轴向风量比和控尘装置距工作面距离等除尘关键参数与归一化粉尘浓度之间的非线性映射关系,PG算法赋予模型在连续动作空间下的自适应调参能力。在此基础上,构建以预测粉尘浓度为目标的适应度函数,采用粒子群优化(PSO)算法对除尘关键参数进行全局寻优,从而获得最优参数组合。不同模型对比结果表明,在相同测试集上,BP+PG融合模型的预测平均绝对百分比误差(MAPE)仅为3.40%,决定系数R2达0.97,相比传统BP神经网络、BP+近端策略优化(PPO)和BP+深度Q网络(DQN)均显著提升。采用长压短抽控风除尘关键参数优化方法所得最优参数组合(抽出风量为450 m3/min,径−轴向风量比为1.5,控尘装置距工作面距离为16 m)后,实测司机处的粉尘浓度为46.24 mg/m3,相较优化前的125.6 mg/m3降低63.2%,有效改善了司机操作区域的作业环境。 展开更多
关键词 综掘工作面 长压短抽控风除尘 参数优化 BP神经网络 策略梯度算法
暂未订购 下载PDF
基于改进Canny算法的单目相机三维重建标定方法 认领 引用
13
作者 赵卫东 王鑫龙 +1 位作者 朱军 陈为胜 《安徽工业大学学报（自然科学版）》 CAS 2026年第4期408-414,共7页
针对传统相机在强干扰场景下存在标定精度不足、边缘检测易受模糊影响,难以满足高精度三维重建需求的问题,本文提出一种改进的Canny边缘检测方法,以提升标定精度。首先,采用高斯滤波与导向滤波对标定图像进行联合处理,在滤除环境噪声的... 针对传统相机在强干扰场景下存在标定精度不足、边缘检测易受模糊影响,难以满足高精度三维重建需求的问题,本文提出一种改进的Canny边缘检测方法,以提升标定精度。首先,采用高斯滤波与导向滤波对标定图像进行联合处理,在滤除环境噪声的同时保持图像边缘的完整性和平滑性;其次,引入四向卷积模板的Sobel算子计算边缘梯度,以提高梯度计算的准确性,避免边缘细节缺失;最后,采用Otsu算法自适应获取边缘阈值,增强算法阈值选取的自适应性,并基于张正友标定法完成相机标定。为验证算法的有效性与鲁棒性,在20张标定板图像中分别添加标准差为30的高斯噪声和密度为20%的椒盐噪声,以模拟强干扰环境并进行标定实验。结果表明:相较于传统Canny算法,本文算法对高斯噪声与椒盐噪声均具有显著的抑制效果,边缘提取质量更优,相机标定的重投影误差较传统Canny算法分别降低了54.1%(高斯噪声)和32.5%(椒盐噪声)。在标准工件测量实验中,本文方法的平均绝对误差为0.1~0.3 mm,均方根误差为0.15~0.30 mm,表明该方法具有良好的测量精度与工程应用价值。 展开更多
关键词 相机标定 Canny算法 三维重建 导向滤波 边缘检测 噪声抑制 Otsu算法 张正友标定法
暂未订购 下载PDF
宝石能谱CT金属伪影校正算法减轻脊柱术后金属植入物伪影的应用研究 认领 引用
14
作者 牛富业 林原 +3 位作者 徐才国 尹雪军 刘艳 尹昶钧 《影像研究与医学应用》 2026年第8期52-55,共4页
目的:探讨宝石能谱CT扫描中金属去伪影算法(MAR)在减轻脊柱内固定术后不同金属植入物伪影中的应用效果。方法:选取2023年3月—2025年10月于中国人民解放军东部战区海军医院行能谱CT复查的脊柱内固定术后患者45例,按照重建方法生成常规... 目的:探讨宝石能谱CT扫描中金属去伪影算法(MAR)在减轻脊柱内固定术后不同金属植入物伪影中的应用效果。方法:选取2023年3月—2025年10月于中国人民解放军东部战区海军医院行能谱CT复查的脊柱内固定术后患者45例,按照重建方法生成常规混合能量图像、单能量图像及单能量联合MAR图像3组。对比分析3组图像的金属伪影指数(AI)、信噪比(SNR)及主观评分。结果:单能量图像可减轻金属伪影,随着能级升高,植入物周围的AI逐渐降低、SNR逐渐升高,并在高能级区域趋于平稳。在相同能级下联合MAR技术后,图像质量显著提高。当能级>110keV时,单能量联合MAR组的主观评分呈下降趋势,且与常规图像组的主观评分比较,差异有统计学意义(P<0.05)。Kappa检验显示,单能量联合MAR组对内固定伪影的主观评分具有中高度一致性,其中110 keV时Kappa值最高。结论:宝石能谱CT单能量成像联合MAR技术可有效减轻脊柱内固定术后金属植入物伪影,110 keV联合MAR为较理想的重建能级。 展开更多
关键词 金属去伪影算法 能谱CT 金属植入物 脊柱内固定 伪影抑制
暂未订购 下载PDF
森林防灭火感知决策关键技术体系研究 认领 引用
15
作者 陈伟 马鸿伟 +2 位作者 张舒 周友锋 马秀 《森林防火》 2026年第2期7-11,共5页
针对传统森林防灭火工作中存在的监测盲区大、信息融合困难、决策智能化水平低及应急通信保障弱等突出问题,构建一套集成多源感知、智能决策与协同通信的技术体系,以提升林火防控精准性、时效性与科学性。提出系统性技术方案:感知层构... 针对传统森林防灭火工作中存在的监测盲区大、信息融合困难、决策智能化水平低及应急通信保障弱等突出问题,构建一套集成多源感知、智能决策与协同通信的技术体系,以提升林火防控精准性、时效性与科学性。提出系统性技术方案:感知层构建“天-空-地”协同监测网络,实现多源异构数据融合;通信层设计“5G公网+微波+MESH+北斗”分层协同架构;智能决策层集成烟火识别、火势推演、路径规划与火险区划四大核心算法;应用层搭建可视化指挥平台。该体系有效贯通“感知—分析—决策—反馈”闭环,突破传统防灭火模式的多项瓶颈。为森林防灭火工作的智能化、精准化转型提供了关键技术支撑,具备广泛的推广价值。 展开更多
关键词 森林防灭火 技术体系 多源感知 智能算法 协同通信
暂未订购 下载PDF
基于模型预测控制的教育机器人轨迹跟踪误差抑制方法研究 认领 引用
16
作者 罗少华 吉哲 《自动化与仪器仪表》 2026年第6期313-316,321,共4页
为了提高模型预测控制抑制教育机器人轨迹跟踪误差的能力,研究提出了一种基于改进模型预测控制的轨迹跟踪误差抑制模型。该模型通过差分进化优化模型预测控制的在线计算过程,利用粒子群优化算法进行多目标约束处理的协同优化,借助近端... 为了提高模型预测控制抑制教育机器人轨迹跟踪误差的能力,研究提出了一种基于改进模型预测控制的轨迹跟踪误差抑制模型。该模型通过差分进化优化模型预测控制的在线计算过程,利用粒子群优化算法进行多目标约束处理的协同优化,借助近端策略优化增强模型预测控制对扰动的适应能力。实验显示,研究模型位置轨迹跟踪的均方根误差和拟合度的平均值分别为1.38 cm、0.973,稳态误差为1.01 mm,单步控制计算耗时为17.6 ms,控制指令延迟为27.9 ms,面对外界扰动时的误差恢复时间为0.67 s,误差增加幅度为160.71%。以上结果均优于对比模型,表明研究模型具有更高的轨迹跟踪误差抑制实时性与抗干扰能力,为教育机器人在多样化场景下的高精度轨迹控制提供了技术方案。 展开更多
关键词 模型预测控制 算法优化 教育机器人 轨迹跟踪 误差抑制
暂未订购 下载PDF
Distributed auction-based adaptive task assignment and re-assignment for multi-UAV suppressive jamming 认领 引用
17
作者 Ruiqing Han Tianxian Zhang +1 位作者 Baozhu Hu Caipin Li 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第5期176-187,共12页
Task assignment is critical for multiple unmanned aerial vehicles(UAVs)to perform suppressive jamming against radar network.However,under abrupt state changes of enemy radars,centralized methods often incur high compu... Task assignment is critical for multiple unmanned aerial vehicles(UAVs)to perform suppressive jamming against radar network.However,under abrupt state changes of enemy radars,centralized methods often incur high computational complexity and exhibit limited robustness,rendering them unsuitable for rapid task re-assignment.To address these challenges,an adaptive multi-UAV task assignment and re-assignment scheme for suppressive jamming against intermittent radar network is proposed.Specifically,the system is comprehensively modeled by integrating a motion model describing high-value target trajectory,a reconnaissance model detecting radar state transitions,and a suppressive jamming model characterizing the matching relationships between UAVs and radars.The problem is formulated as a dynamic integer program with time-varying constraints.To solve this,a distributed auction-based task assignment and re-assignment algorithm is proposed,enabling task assignment and re-assignment triggered by sudden radar activations or deactivations.Simulation results demonstrate that the proposed approach achieves jamming performance comparable to centralized methods,outperforms traditional fixed and random strategies,and enables re-assignment in response to abrupt radar state changes. 展开更多
关键词 UAVs Suppressive jamming Task assignment and re-assignment Distributed auction algorithm
暂未订购 下载PDF
基于深度强化学习决策的雷达干扰抑制方法 认领 引用
18
作者 肖易寒 孟祥乾 陆钱融 《制导与引信》 2026年第1期22-31,共10页
针对目前雷达干扰抑制决策智能化程度低的问题,提出了一种基于双深度优先经验回放和可变贪婪算法改进的双重竞争深度Q网络(double dueling deep Q network,D3QN)决策的雷达干扰抑制方法。首先对雷达目标回波和干扰混合信号进行特征提取... 针对目前雷达干扰抑制决策智能化程度低的问题,提出了一种基于双深度优先经验回放和可变贪婪算法改进的双重竞争深度Q网络(double dueling deep Q network,D3QN)决策的雷达干扰抑制方法。首先对雷达目标回波和干扰混合信号进行特征提取;然后根据信号特征通过可变贪婪算法选择动作作用于干扰,并将动作前后的信号特征存储于双深度优先经验回放池后,经过学习决策出最优的干扰抑制策略;最后使用该策略抑制干扰后输出。实验结果表明,该方法有效改善了信号的脉压结果,显著提升了信号的信干噪比,相较于基于D3QN的传统干扰抑制方法,在策略准确率和收敛速度上分别提升了7.3%和8.7%。 展开更多
关键词 雷达干扰抑制 双重竞争深度Q网络 双深度优先经验回放 可变贪婪算法 脉冲压缩
暂未订购 下载PDF
An active method suppressing rolling mill vibration: disturbance estimation and compensation algorithm 认领 引用 被引量：6
19
作者 Xiao-qiang Yan Jie-bin Qi Xin-xin Wang 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2019年第7期697-703,共7页
The rolling mill vibration not only seriously causes the strip thickness heterogeneity, but also damages the rolling mill equipment and its electrical components. Existing vibration suppression methods are passive and... The rolling mill vibration not only seriously causes the strip thickness heterogeneity, but also damages the rolling mill equipment and its electrical components. Existing vibration suppression methods are passive and mainly tune mechanical, hydraulic, electrical and rolling process parameters. A new active vibration suppression method was thus proposed using the disturbance estimation and compensation algorithm. Firstly, the hydraulic-mechanical coupling model of the rolling mill vibration was established, and an active vibration suppressor was designed based on the extended state observer. Then, through the numerical simulation, it is found that the vibration energy is reduced by 35.3% using the vibration suppressor, and the vibration suppressor is valid when the vibration frequency is lower than 60 Hz Finally, the vibration suppressor was applied to the in-site manufacturing, and the expected vibration suppression was obtained. The method makes the produced steel strip have more uniform thickness and further significantly increases the finished product ratio. 展开更多
关键词 Rolling mill vibration Active vibration suppression Disturbance estimation Compensation algorithm Extended state observer
暂未订购 下载PDF
兼顾平抑波动与储能保护的混合储能优化策略 认领 引用 被引量：1
20
作者 霍俊达 王毅 《华北电力大学学报（自然科学版）》 CAS 北大核心 2026年第4期43-54,共12页
为更有效地解决风电并网功率波动问题并优化储能的运行状态,提出一种兼顾平抑波动与储能保护的混合储能功率优化策略。首先通过改进的模型预测控制(model predictive control,MPC)对风电原始出力进行平抑,通过引入储能荷电状态(state of... 为更有效地解决风电并网功率波动问题并优化储能的运行状态,提出一种兼顾平抑波动与储能保护的混合储能功率优化策略。首先通过改进的模型预测控制(model predictive control,MPC)对风电原始出力进行平抑,通过引入储能荷电状态(state of charge,SOC)相关的权重系数来自适应调节算法的目标函数,得到风电并网功率和混合储能总出力;然后提出牛顿-拉夫逊优化算法(Newton-Raphson-based optimization,NRBO)优化变分模态分解(variational mode decomposition,VMD)中的参数,再通过VMD对总功率进行分解,结合储能特性得到初级功率分配结果;最后提出兼顾储能充放电转换次数、SOC和并网波动率的储能功率优化策略。算例仿真结果表明,提出的策略在成功平抑波动的基础上使得锂电池充放电转换次数显著下降了90.54%,有效地保证了超级电容和锂电池的SOC不越限及风电并网波动率能够始终满足要求。 展开更多
关键词 平抑风电功率波动 改进模型预测控制 牛顿-拉夫逊优化算法 变分模态分解 优化策略
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 30 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈