Title: Vibration reduction and intelligent control in SRM using optimised two stage commutation

Authors: Veena Wilson; P.G. Latha; Neil Jose; B. Sandesh Bhaktha

Addresses: School of Engineering, Cochin University of Science and Technology, Kochi, Kerala, India ' School of Engineering, Cochin University of Science and Technology, Kochi, Kerala, India ' Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India ' Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India

Abstract: Switched reluctance motors (SRMs) have grown in popularity in a variety of industrial applications due to their inherent benefits such as high fault-tolerance, simplicity, affordability, and rare-earth free nature. However, the generation of undesirable vibrations due to radial force variations remains a significant challenge. Two stage commutation based on active vibration cancellation (AVC) is an effective method to reduce these vibrations. The focus of this paper is to address the major limitation with two stage commutation, namely the extended tail current causing increased copper loss. This is accomplished with optimal commutation parameters employing particle swarm optimisation (PSO) method. A MATLAB/Simulink model of SRM with vibration signal is developed and is used for demonstrating vibration cancellation. An intelligent control is also implemented which can track the dynamic changes in speed-load conditions. This paper showcases that this approach is an effective solution to reduce the vibrations issues in SRM, thereby improving the overall performance of the motor for industrial applications.

Keywords: switched reluctance motor; SRM; active vibration cancellation; AVC; two stage commutation; particle swarm optimisation; PSO; artificial neural network; ANN.

DOI: 10.1504/IJPELEC.2025.148279

International Journal of Power Electronics, 2025 Vol.21 No.5, pp.471 - 496

Received: 29 Aug 2024
Accepted: 02 Mar 2025
Published online: 01 Sep 2025 *

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