Performance of Fuzzy Logic-Sliding Mode IFOC based Induction Motor Drive
Year: 2026
Type: article
Abstract: : The study focuses on enhancing the dynamic response of induction motors for electric vehicle applications. A fuzzy logic-sliding mode scheme has been developed to minimize torque ripple and achieve rapid dynamic performance. The combination fuzzy logic (FL) with a sliding mode Indirect field-oriented control used in the induction motor drive. It provides simulation study model and block diagram of the FL-SMC method, including basic field weakening. It also investigates a comparative performance analysis of the IFOC, SMC and FL-SMC (with field weakening) methods. The performance at a standstill to forward speed, and speed reversal has been analysed, keeping focus on torque ripple and speed convergence. It has been observed that the average percentage of speed convergence in the FL-SMC method is 19% and 30% faster, and the average percentage of torque ripple reduction is 3% and 4.6%, compared to the SMC and IFOC methods. The FL-SMC method shows reduced torque, improved speed convergence, and better overall control.
Author: Rekha Tidke
Institution: Gokhale Education Society
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7118120358
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