Model Parameter Adaptive Sliding Mode Model-Following Position Control of PMSM

This paper aims at improving the robustness of the PMSM position control system with the parameter variation and load disturbance. A novel control strategy utilizing sliding mode model-following control (SMMFC) with the adaptive parameters observed by dual unscented Kalman filter (DUKF) observer is proposed. The switching gain of sliding mode is designed including the observed states of the system to suppress the chattering. The experimental results show that the robustness has been improved by sliding mode control, and the chattering has been well suppressed by switching gain adaptation depending on the observed states of the system. Meanwhile, the control accuracy has been enhanced by model-following control with parameter adaptation. The position control performance of PMSM has been improved by the proposed scheme.