<p>To improve the dynamic response and immunity performance in the permanent magnet synchronous motor (PMSM) speed control system, this paper designs a super-twisting sliding mode differential compensated linear active disturbance rejection control (STSM-DCLADRC) strategy. Firstly, the PMSM speed ring is modelled, and the principle of the conventional linear active disturbance rejection control (LADRC) is described. Secondly, the conventional observer is reconfigured, and a differential compensated linear extended state observer (DCLESO) is designed to improve the system’s immunity performance. Then, the linear state error feedback (LSEF) rate is improved by using the super-twisting sliding mode algorithm (STSM) to design the super-twisting sliding mode LSEF (STSM-LSEF) to improve the dynamic response performance of the system. Meanwhile, to reduce the inherent jitter carried by the sliding mode, the saturation (sat) function is used to replace the sign function in the STSM algorithm, which further improves the stability of the system. Finally, MATLAB/Simulink simulation and DSPACE experimental platform are used to verify the feasibility of the control strategy. Simulation and experimental results demonstrate that the proposed control strategy exhibits improved dynamic response and stronger disturbance rejection.</p>

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Research on PMSM Speed Control Based on Super-Twisting Sliding Mode Differential Compensated Linear Active Disturbance Rejection Control

  • Yuxin Ma,
  • Chaohui Zhao

摘要

To improve the dynamic response and immunity performance in the permanent magnet synchronous motor (PMSM) speed control system, this paper designs a super-twisting sliding mode differential compensated linear active disturbance rejection control (STSM-DCLADRC) strategy. Firstly, the PMSM speed ring is modelled, and the principle of the conventional linear active disturbance rejection control (LADRC) is described. Secondly, the conventional observer is reconfigured, and a differential compensated linear extended state observer (DCLESO) is designed to improve the system’s immunity performance. Then, the linear state error feedback (LSEF) rate is improved by using the super-twisting sliding mode algorithm (STSM) to design the super-twisting sliding mode LSEF (STSM-LSEF) to improve the dynamic response performance of the system. Meanwhile, to reduce the inherent jitter carried by the sliding mode, the saturation (sat) function is used to replace the sign function in the STSM algorithm, which further improves the stability of the system. Finally, MATLAB/Simulink simulation and DSPACE experimental platform are used to verify the feasibility of the control strategy. Simulation and experimental results demonstrate that the proposed control strategy exhibits improved dynamic response and stronger disturbance rejection.