PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking

The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and performance. To this end, this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum seeking. Firstly, by analyzing the frequency domain model of permanent magnet synchronous motor, the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter optimization. Then, a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error term. The feasibility of the above scheme is proved by theoretical derivation, and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.