Vector control of PMSM based on fuzzy PI with improved bat optimization algorithm

Lishan Jia; Xuebin Tian

doi:10.1117/12.3039223

5 August 2024 Vector control of PMSM based on fuzzy PI with improved bat optimization algorithm

Lishan Jia, Xuebin Tian

Proceedings Volume 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024); 1322626 (2024) https://doi.org/10.1117/12.3039223
Event: 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 2024, Changsha, China

Abstract

For the complex multi-variable system of permanent magnet synchronous motors, an improved Bat Algorithm (IBA) is proposed to optimize fuzzy control rules in order to enhance system stability and improve dynamic response. The neighborhood search operator is designed based on the interrelationship of fuzzy control rules, and ITAE is employed as a performance metric to evaluate the fuzzy Proportional-Integral control system. A model for PMSM is established, and a simulation environment is built in MATLAB/Simulink based on the mathematical model. The fuzzy-controlled PI controller is compared with the traditional PI controller in terms of motor speed results. The results indicate that the fuzzy PI controller exhibits smaller overshoot, better stability, and dynamic response compared to the traditional PI controller. The algorithm proposed in this study shows promising prospects for application in engineering control.

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

Citation Download Citation

Lishan Jia and Xuebin Tian "Vector control of PMSM based on fuzzy PI with improved bat optimization algorithm", Proc. SPIE 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 1322626 (5 August 2024); https://doi.org/10.1117/12.3039223

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