Speed Control and Torque Ripple Minimization of Switched Reluctance Motor Using Grey Wolf Optimized Anfis Controller

The speed and current management strategy for reducing the SRM torque ripple is proposed in this work.The stringent SRM behaviour has been investigated in relation to torque, speed, and current. The motor'sspeed has been reduced and the torque ripples have been controlled, depending on certain factors.Eventually, a control signal was created to regulate the speed of the SRM. In order to lessen the torqueripples, we have therefore projected an increased speed and controlled the current using the PWM model.To regulate the SRM speed, the current optimization model that is based on torque and the present controltechnique has been projected. Moreover, the SRM torque and speed have been examined using a controllerthat is reliant on the Grey-Wolf Optimization (GWO) algorithm. In the end, the proposed approach has beenused in the Simulink/MATLAB area. The performance analysis of the proposed model has been comparedand illustrated with existing strategies such as ANFIS & ANN algorithm techniques.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-11
DOI
https://doi.org/10.5281/zenodo.16794344
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
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article

Speed Control and Torque Ripple Minimization of Switched Reluctance Motor Using Grey Wolf Optimized Anfis Controller

Zenodo (CERN European Organization for Nuclear Research)
Sensorless Control of Electric Motors
article

Speed Control and Torque Ripple Minimization of Switched Reluctance Motor Using Grey Wolf Optimized Anfis Controller

article en

Abstract

The speed and current management strategy for reducing the SRM torque ripple is proposed in this work.The stringent SRM behaviour has been investigated in relation to torque, speed, and current. The motor'sspeed has been reduced and the torque ripples have been controlled, depending on certain factors.Eventually, a control signal was created to regulate the speed of the SRM. In order to lessen the torqueripples, we have therefore projected an increased speed and controlled the current using the PWM model.To regulate the SRM speed, the current optimization model that is based on torque and the present controltechnique has been projected. Moreover, the SRM torque and speed have been examined using a controllerthat is reliant on the Grey-Wolf Optimization (GWO) algorithm. In the end, the proposed approach has beenused in the Simulink/MATLAB area. The performance analysis of the proposed model has been comparedand illustrated with existing strategies such as ANFIS & ANN algorithm techniques.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 55%
Sensorless Control of Electric Motors
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Speed Control and Torque Ripple Minimization of Switched Reluctance Motor Using Grey Wolf Optimized Anfis Controller · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS