Research on predictive control strategy of PMSM model based on torque change rate

Luye Shi; Jian Zong

doi:10.1117/12.3039241

5 August 2024 Research on predictive control strategy of PMSM model based on torque change rate

Luye Shi, Jian Zong

Proceedings Volume 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024); 1322629 (2024) https://doi.org/10.1117/12.3039241
Event: 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 2024, Changsha, China

Abstract

This paper proposes a PMSM model predictive torque control strategy based on torque change rate to address the issues of difficult determination of weight factors and low efficiency of control algorithm traversal optimization in traditional PMSM finite set model predictive torque control (FCS-MPTC). Firstly, the tracking error of the electromagnetic torque at the current moment is used to determine the rate of change of the electromagnetic torque at the next moment. Secondly, the influence of the basic voltage vector on the electromagnetic torque can be analyzed to quickly determine the range of voltage selection. By constructing a cascaded cost function structure, the weight factor between torque and flux can be eliminated. Finally, a model was built in MATLAB/Simulink for simulation, and the simulation results showed that the proposed control strategy had high optimization efficiency and did not require the participation of weight factors.

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

Citation Download Citation

Luye Shi and Jian Zong "Research on predictive control strategy of PMSM model based on torque change rate", Proc. SPIE 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 1322629 (5 August 2024); https://doi.org/10.1117/12.3039241

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