Historical Data-Based Prescribed Performance Optimal Control for PMSM Systems with Disturbance

Zhang Bowen

TL;DR: This paper proposed a prescribed performance optimal control method for permanent magnet synchronous motor (PMSM) systems with nolinear disturbance.

Abstract: This paper proposed a prescribed performance optimal control method for permanent magnet synchronous motor (PMSM) systems with nonlinear disturbance. Firstly, a novel prescribed performance approach is proposed to constrain both the state and error of PMSM systems in order to obtain high precision control performance. Then, an adaptive dynamic programming method based on historical data is designed to solve the optimal controller. Furthermore, an identifier based on neural network is constructed to approximate the system disturbances. Finally, a simulation example is implemented to validate the efficacy of the proposed control method.

Submission Number: 194