| 赵凯辉,涂麟轩,贾林,黄宜山,何静.数据驱动扩展滑模观测器的PMSM无模型自适应高阶滑模控制[J].电子测量与仪器学报,2026,40(1):143-155 |
| 数据驱动扩展滑模观测器的PMSM无模型自适应高阶滑模控制 |
| Model free adaptive high-order sliding mode control for PMSM based ondata-driven extended sliding mode observer |
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| DOI： |
| 中文关键词: 偏格式动态线性化 伪梯数 数据驱动的扩展滑模观测器 无模型自适应高阶滑模控制 |
| 英文关键词:partial format dynamic linearization pseudo gradient data-driven extended sliding mode observer model free adaptive high-order sliding mode control |
| 基金项目:国家自然科学基金（52572375, 62303178）、湖南省自然科学基金(2026JJ80067, 2026JJ90264)、湖南省研究生科研创新项目（CX20251659）资助 |
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| Author | Institution |
| Zhao Kaihui | School of Transportation and Electrical Engineering, Hunan University of Technology, Zhuzhou 412007,
China |
| Tu Linxuan | School of Transportation and Electrical Engineering, Hunan University of Technology, Zhuzhou 412007,
China |
| Jia Lin | School of Transportation and Electrical Engineering, Hunan University of Technology, Zhuzhou 412007,
China |
| Huang Yishan | CRRC Electric Vehicle Co., Ltd., Zhuzhou 412001, China |
| He Jing | School of Transportation and Electrical Engineering, Hunan University of Technology, Zhuzhou 412007,
China |
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| 摘要点击次数: 683 |
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| 中文摘要: |
| 针对永磁同步电机（permanent magnet synchronous motor,PMSM）驱动系统过度依赖精确模型且面临负载扰动时鲁棒性差的问题，提出一种基于数据驱动扩展滑模观测器的新型无模型自适应高阶滑模控制策略。首先，将电机运动方程转化为离散偏格式动态线性化范模型。其次，构建融合偏格式无模型自适应控制和离散时间高阶滑模控制优点的新型控制器；同时设计基于数据驱动的扩展非奇异离散终端滑模观测器，实时观测扰动并反馈至控制器以补偿跟踪误差。然后，基于电机输出转速和滑动时间窗口内的输入参考电流数据，构造改进型伪梯数实时估计算法，增强对时变参数的跟踪能力，实现基于二阶偏格式范模型的数据驱动控制。最后，通过在工况突变情况下与传统方法的仿真和实验对比，结果表明该方法能使电机收敛时间缩短35%，由负载扰动引起的平均波形畸变率减小18.4%，有力保障了PMSM的稳定、高效运行，验证了所提方法的可靠性与优越性。 |
| 英文摘要: |
| A novel model free adaptive high-order sliding mode control strategy based on data-driven extended sliding mode observer is proposed to address the problem of PMSM drive system over reliance on accurate models and poor robustness in the face of load disturbances. Firstly, convert the motor motion equation into a discrete partial form dynamic linearization model. Secondly, a new controller is constructed that integrates the advantages of partial format model free adaptive control and discrete-time high-order sliding mode control; Simultaneously design a data-driven extended nonsingular discrete terminal sliding mode observer to observe disturbances in real time and input them into the controller to compensate for tracking errors. Then, based on the motor output speed and input reference current data within the sliding time window, an improved pseudo ladder real-time estimation algorithm is constructed to enhance the tracking ability of time-varying parameters, and achieve data-driven control based on the second-order partial range model. Finally, through simulation and experimental comparison with traditional methods under sudden changes in operating conditions, the results show that this method can shorten the convergence time of the motor by 35% and reduce the average waveform distortion caused by load disturbances by 18.4%, effectively ensuring the stable and efficient operation of PMSM and verifying the reliability and superiority of the proposed method. |
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