Author(s)

Haoqiang Qin, Yongsheng Jiao, Zihang Wang

Corresponding Author

Zihang Wang

Abstract

This research aims to improve PID control of PMSMs using RBF neural networks. It addresses the complexities of PMSMs’ dynamic behavior, employing RBFs for non-linear function approximation to refine PID parameters. An adaptive tuning algorithm based on RBFs dynamically adjusts PID parameters based on real-time motor conditions. Experimental validations demonstrate the method's effectiveness.

Keywords

RBF Neural Network, PID control parameters Tuning, Permanent Magnet Synchronous Motor