Improved Deadbeat Current Prediction Control for Permanent Magnet Synchronous Motor

Abstract

In the control of permanent magnet synchronous motor, the performance of current ring is the key point. In this paper, a discretized predictive control algorithm for the deadbeat current of permanent magnet synchronous motor is applied to improve the performance of the current ring. Based on the mathematical model of the permanent magnet synchronous motor, a model is built using the deadbeat current predictive control algorithm, and the mismatch between the model parameters and the actual parameters in the actual operation is studied and solved. An algorithm for eliminating static error is presented, which optimizes the stator current to reduce the influence of the prediction model on the system stability. Similar simulation shows that this method is superior to the traditional predictive control algorithm in reducing system fluctuation and improving system accuracy and dynamic performance.