4.7 Article

Speed control and torque ripple minimization of SRM using local unimodal sampling and spotted hyena algorithms based cascaded PID controller

期刊

AIN SHAMS ENGINEERING JOURNAL
卷 13, 期 4, 页码 -

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ELSEVIER
DOI: 10.1016/j.asej.2022.101719

关键词

Switched reluctance motor; Cascaded PID; Speed control; Torque ripple minimization

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This paper proposes the use of two recent optimization techniques, Local Unimodal Sampling (LUS) and Spotted Hyena Optimizer (SHO), to optimize the cascaded PID controller for controlling the speed and reducing the torque ripples of the switched reluctance motor. The proposed algorithms have the advantage of better convergence and lower computational efforts compared to other optimization techniques. Experimental results demonstrate that the PID controller is superior to the fractional-order PID (FOPID) controller, and the SHO-based cascaded PID controller exhibits less current and torque ripples with improved speed response.
This paper proposes the use of two recent optimization techniques, called the Local Unimodal Sampling (LUS) and the Spotted Hyena Optimizer (SHO), to optimally tune cascaded PID controller designed while controlling the speed and reducing the torque ripples of the switched reluctance motor. The proposed implementation of these algorithms has the advantage of better convergence and lower computational efforts when compared to other optimization techniques. To demonstrate the effectiveness of the proposed cascaded PID controller using LUS and SHO, they are compared to other controller designs present in previous literature, specifically the cascaded fractional-order PID (FOPID) controller. Results show that the PID controller is more superior to the FOPID controller and that the SHO-based cascaded PID controller leads to less current and torque ripples with better speed response. The study is implemented at different loading conditions. The results are presented in the form of a time-domain simulation conducted via MATLAB/SIMULINK. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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