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Convergence Trajectory Optimization of Supertwisting Sliding-Mode Current Control for Induction Motor Drives.

Authors :
Wang, Bo
Wang, Tianqing
Yu, Yong
Luo, Cheng
Xu, Dianguo
Source :
IEEE Transactions on Industrial Electronics. Dec2022, Vol. 69 Issue 12, p12292-12304. 13p.
Publication Year :
2022

Abstract

For the induction motor (IM) current loop, the supertwisting sliding-mode control (ST-SMC) has been considered as an effective approach to achieve chattering suppression and steady-state errorless control. However, due to the system disturbance, the conventional ST-SMC suffers from control delay in the convergence trajectory, resulting in decreased antidisturbance capability. To address this problem, this article proposed a ST-SMC with convergence trajectory optimization. First, a nonlinear sliding-mode manifold is designed to achieve the ideal ST-SMC convergence trajectory. Then, a disturbance compensation term is added into the control law to eliminate the system control delay. Compared with the conventional ST-SMC, the studied method can effectively enhance the antidisturbance capability of IM current loop, leading to improved transient performance. Finally, the superiority of the investigated method is verified by the experimental results from a 3.7 kW IM test bench. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02780046
Volume :
69
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Industrial Electronics
Publication Type :
Academic Journal
Accession number :
157958101
Full Text :
https://doi.org/10.1109/TIE.2021.3130328