Adaptive optimal control for permanent magnet synchronous motor system based on policy iteration

Xiang Zhang; Dengguo Xu; Jingling Zhao; Xinsuo Li

doi:10.1117/12.3039740

4 September 2024 Adaptive optimal control for permanent magnet synchronous motor system based on policy iteration

Xiang Zhang, Dengguo Xu, Jingling Zhao, Xinsuo Li

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132590X (2024) https://doi.org/10.1117/12.3039740
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

The robust control problem of permanent magnet synchronous motor (PMSM) system with uncertain parameter is studied. First, the state space model of the PMSM system is builded. It is verified that in the certain conditions, the robust control problem can be transformed into an optimal control problem to form a state feedback control. In addition, we propose an online reinforcement learning (RL) algorithm to design a controller that can adjust the motor speed to a desired level without solving the conventional algebraic Riccati equation (ARE). And the convergence of the RL algorithm is proved. Finally, the effectiveness of this control method is proved by a numerical simulation example.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiang Zhang, Dengguo Xu, Jingling Zhao, and Xinsuo Li "Adaptive optimal control for permanent magnet synchronous motor system based on policy iteration", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132590X (4 September 2024); https://doi.org/10.1117/12.3039740

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available