volume | PIER Journals

Abstract

To address the limitations of Permanent Magnet Synchronous Motor (PMSM) speed-current closed-loop systems, including control performance degradation due to PI controller integral saturation and insufficient convergence in traditional model predictive current control (MPCC) while simultaneously reducing the computational load in the control system, this study combines model-free control theory with higher-order sliding mode methods and proposes an adaptive nonsingular terminal model-free sliding mode composite control strategy (ANTMFSMC) that considers parameter mismatch. First, based on the mathematical model of PMSM and the model-free theory for nonlinear systems, a speed-current loop control model is established. By combining the nonsingular terminal sliding mode with adaptive sliding mode reaching law, a speed-current loop ANTMFSMC controller is designed, and an improved exponential sliding mode disturbance observer (INTSMDO) is constructed to estimate the unknown components of the unmodeled dynamics and parameter uncertainties in the system. These estimates are then introduced as a feedforward compensation into the ANTMFSMC controller to form a complete composite control architecture. Finally, through simulations and experimental comparisons with traditional PI control and the traditional nonsingular terminal model-free sliding mode control based on sliding mode disturbance observer method (NTMFSMC-SMDO), the results show that the proposed strategy effectively suppresses d-q axis current and voltage ripple, significantly improves the convergence speed and anti-disturbance capability of the system, and demonstrates good engineering application value.

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Professor Junqin Liu

Dr. Haicheng Zhong

Dr. Zhentong Wang

Dr. Xinchun Jiang

Dr. Yilin Chen

Dr. Daoyi Gu

Professor Kaihui Zhao

Dr. Xiangfei Li

Dr. Lin Liu