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Performance analysis of FEC based SR motor drive using fuzzy tuned PI controller

Indira Damarla (Department of Electrical and Electronics Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India)
Venmathi M. (Department of Electrical and Electronics Engineering, St. Joseph’s College of Engineering, Chennai, India)
Krishnakumar V. (Department of Electrical and Electronics Engineering, St. Joseph’s College of Engineering, Chennai, India)
Anbarasan P. (Department of Electrical and Electronics Engineering, St. Joseph’s College of Engineering, Chennai, India)

Circuit World

ISSN: 0305-6120

Article publication date: 20 December 2023

Issue publication date: 16 July 2024

24

Abstract

Purpose

In this paper, a new front end converter (FEC) topology has been proposed for the switched reluctance (SR) motor drive. This study aims to present the performance analysis of FEC-based SR motor drive using various types of control schemes like conventional proportional integral (PI) controller, fuzzy logic controller (FLC) and fuzzy-tuned proportional integral controller (Fuzzy-PI).

Design/methodology/approach

The proposed FEC-based SR motor drive with various control strategies is derived for the torque ripple minimization and speed control.

Findings

The steady state and the dynamic response of the FEC-based SR motor drive are analyzed using three different controllers under change in speed and loading conditions. The Fuzzy-PI-based control scheme improves the dynamic response of the system when compared with the FLC and the conventional PI controller.

Originality/value

The hardware prototype has been implemented for the FEC-based SR motor drive by using the Xilinx SPARTAN 6 FPGA processor. The experimental verification has been conducted and the results have been measured under steady state and dynamic conditions.

Keywords

Citation

Damarla, I., M., V., V., K. and P., A. (2024), "Performance analysis of FEC based SR motor drive using fuzzy tuned PI controller", Circuit World, Vol. 50 No. 2/3, pp. 293-307. https://doi.org/10.1108/CW-08-2022-0240

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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