Title: Performance analysis of fuzzy logic-sliding mode controlled induction motor drive

Authors: Rekha Tidke; Anandita Chowdhury

Addresses: Electrical Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India ' Electrical Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India

Abstract: The induction motor (IM) drive requires an effective and efficient control method that is profitable, simple, and easy to implement for electric vehicle/hybrid electric vehicle (EV/HEV) applications. In this paper, a study has been carried out on the dynamic response of quasi-ZSI fed IM control suitable for electric vehicle application. In this study, the FLC involvement along with speed regulation eliminates chattering of sliding mode controller (SMC). The proposed new hybrid control combines FLC and SMC together with IFOC theory. It is implemented on MATLAB/Simulink environment for IM drive. The performance has been noted under speed change and load variations. A comparative performance analysis has been observed for conventional IFOC, SMC and the proposed control method. The results reveal that the proposed method gives a fast dynamic response. Moreover, the proposed control gives smooth speed control with speed tracking, and ripple-free current as compared to other methods.

Keywords: induction motor; fuzzy logic-sliding mode control; indirect field-oriented control; electric vehicle.

DOI: 10.1504/IJEHV.2023.136768

International Journal of Electric and Hybrid Vehicles, 2023 Vol.15 No.4, pp.352 - 374

Received: 20 Jan 2023
Accepted: 02 Apr 2023
Published online: 21 Feb 2024 *

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