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参数失配下永磁同步电机无模型定子磁链滑模控制

肖虎 吴公平 龙卓 郑剑 李泽文

电工技术学报2025,Vol.40Issue(12):3883-3894,12.
电工技术学报2025,Vol.40Issue(12):3883-3894,12.DOI:10.19595/j.cnki.1000-6753.tces.240885

参数失配下永磁同步电机无模型定子磁链滑模控制

Model-Free Stator Flux Sliding Mode Control for Permanent Magnet Synchronous Motors Considering Parameter Mismatch

肖虎 1吴公平 1龙卓 1郑剑 2李泽文1

作者信息

  • 1. 长沙理工大学电气与信息工程学院 长沙 410114
  • 2. 湖南工业大学电气与信息工程学院 株洲 412007
  • 折叠

摘要

Abstract

Permanent magnet synchronous motor(PMSM)has become a core component of complex electromechanical systems such as electric vehicles,new energy urban rail vehicles,and wind power generation due to its advantages of high efficiency,high power density,and high torque density.The model predictive control strategy based on the mathematical model of the controlled object has been widely applied in PMSMs.However,there is inevitably a mismatch between the actual parameters of the motor system and the application parameters of the model predictive controller,which seriously affects the performance of the predictive control system.This paper proposes a novel model-free stator flux sliding mode control(MF-FSMC)method to achieve high-performance control under parameter mismatch. The model-free flux sliding mode controller is adopted to replace the model predictive control algorithm that relies on the controlled object.First,a mathematical model of PMSM is established under parameter mismatch,and an ultralocal stator flux linkage model considering parameter mismatch is constructed under a rotating coordinate system.The novel MF-FSMC method is proposed,a model-free flux sliding mode controller based on a novel reaching law is designed,and a one-beat speed predictive controller is constructed.Finally,the composite integral sliding mode disturbance observer online estimation strategy is proposed,which can effectively observe the unknown disturbance part in the ultralocal model of PMSM under parameter mismatch. Simulation and experimental results show that the proposed method can effectively improve the steady-state performance,significantly reduce the stator flux and torque ripple,and enhance the robustness and anti-interference performance of the PMSM system under parameter mismatch.The designed composite integral sliding mode disturbance observer can accurately observe the stator flux values and unknown disturbances on the dq axis.Compared with conventional model predictive control methods,the proposed MF-FSMC method can reduce torque ripple from 75 N·m to 45 N·m in the case of flux linkage parameter mismatch.In addition,with the proposed MF-FSMC method,the distortion of stator current has also been significantly improved,and the static error of stator flux linkage has been reduced from 0.35 Wb to±0.01 Wb.In the case of inductance parameter mismatch,the proposed MF-FSMC method can reduce torque ripple from 110 N·m to 80 N·m and the fluctuation value of stator flux linkage error from±0.235 Wb to±0.02 Wb. The MF-FSMC method proposed can obtain the following conclusions:(1)The composite integral sliding mode disturbance observer can accurately observe unknown disturbances and stator flux linkage,effectively enhancing the robustness of predictive control systems under parameter mismatch.(2)The proposed model-free stator flux sliding mode control method designs a model-free flux sliding mode controller in the inner loop of the controller and constructs a one-beat speed predictive controller in the outer loop of the controller.The proposed MF-FSMC method can effectively improve the control accuracy of stator flux,significantly reduce the stator flux/torque ripple of the motor,and ensure the strong robustness of the predictive control system under parameter mismatch.

关键词

永磁同步电机/超局部模型/无模型滑模控制/参数失配

Key words

Permanent magnet synchronous motor/ultralocal model/model-free sliding mode control/parameter mismatch

分类

动力与电气工程

引用本文复制引用

肖虎,吴公平,龙卓,郑剑,李泽文..参数失配下永磁同步电机无模型定子磁链滑模控制[J].电工技术学报,2025,40(12):3883-3894,12.

基金项目

国家自然科学基金项目(62403077,52407037)、湖南省自然科学基金-优秀青年基金项目(2024JJ4001)、湖南省湖湘青年英才-科技人才项目(2024RC3295)、湖南省重点研发计划项目(2024JK2106)、湖南省教育厅优秀基金项目(22B0306)、湖南省教育厅一般项目(22C0138)、山东省自然科学基金项目(ZR2023QE023)和湖南省科技人才托举工程项目(2023TJ-X69)资助. (62403077,52407037)

电工技术学报

OA北大核心

1000-6753

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