Research on speed control of permanent magnet synchronous motor based on RBF neural network tuning PID. Issue 1 (1st April 2022)

• Record Type: Journal Article
• Authors: Wang, Wanli; Pang, Han; Li, Xincheng; Wu, Yipeng; Song, Xiufu
• Is Part Of: Journal of physics. Volume 2264:Issue 1(2022)
• Publication Date: 2022-04-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2264/1/012018
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In order to solve the problem of insufficient speed regulation performance of conventional PID controller in multi gear switching of electric drive fracturing PMSM, RBF neural network parameter identification is used to set the PID parameters and improve the control effect of conventional PID controller. By analyzing the application characteristics of PMSM in electric drive fracturing truck, the RBF-PID controller and the speed control system model of PMSM are established based on s-function in MATLAB/SIMLINK, and the simulation research is carried out in combination with the application requirements. The results show that compared with the conventional PID controller, the RBF-PID controller has better real-time performance and robustness. The real-time response characteristics of the PMSM speed regulation control system are improved by 84% and the robustness is improved by 62%. The RBF-PID controller can effectively improve the working stability of PMSM.