TY - GEN
T1 - PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking
AU - Li, Fan
AU - Shen, Wei
AU - Ge, Chuanyu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and performance. To this end, this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum seeking. Firstly, by analyzing the frequency domain model of permanent magnet synchronous motor, the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter optimization. Then, a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error term. The feasibility of the above scheme is proved by theoretical derivation, and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.
AB - The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and performance. To this end, this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum seeking. Firstly, by analyzing the frequency domain model of permanent magnet synchronous motor, the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter optimization. Then, a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error term. The feasibility of the above scheme is proved by theoretical derivation, and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.
KW - multivariable sliding mode extremum seeking(MSME)
KW - parameter optimization
KW - permanent-magnet synchronous motor(PMSM)
KW - self-tuning
UR - http://www.scopus.com/inward/record.url?scp=85149507932&partnerID=8YFLogxK
U2 - 10.1109/CCDC55256.2022.10033586
DO - 10.1109/CCDC55256.2022.10033586
M3 - Conference contribution
AN - SCOPUS:85149507932
T3 - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
SP - 364
EP - 369
BT - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th Chinese Control and Decision Conference, CCDC 2022
Y2 - 15 August 2022 through 17 August 2022
ER -