Scholarlink

<p>Switched Reluctance Motors (SRMs) are widely used in electric drive systems due to their simple construction and high reliability, although their operation is often limited by torque ripple and associated acoustic effects. The present work introduces an integrated approach combining experimental characterization, nonlinear modelling, simulation, and hardware validation to investigate torque ripple reduction in SRM drives. Five distinct current control algorithms—hysteresis, proportional–integral, fuzzy logic, model predictive, and sliding mode—are developed and comparatively evaluated under uniform operating conditions. The experimentally measured nonlinear flux linkage and torque characteristics are employed to construct a detailed MATLAB/Simulink model of the SRM. Comparative results from simulation and prototype testing confirm that predictive and sliding mode controllers yield superior torque smoothness and faster dynamic response, while conventional methods offer ease of implementation. The study establishes a unified framework for quantitative assessment of torque control strategies in SRM applications.</p>

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Integrated modelling, simulation, and experimental analysis of multi-algorithm torque ripple reduction in switched reluctance motor drives

  • 期刊论文

  • 发表日期：

    2025年11月7日

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  • Manas Ranjan Sial,
  • Omveer Sharma,
  • Suryalok Dash

摘要

Switched Reluctance Motors (SRMs) are widely used in electric drive systems due to their simple construction and high reliability, although their operation is often limited by torque ripple and associated acoustic effects. The present work introduces an integrated approach combining experimental characterization, nonlinear modelling, simulation, and hardware validation to investigate torque ripple reduction in SRM drives. Five distinct current control algorithms—hysteresis, proportional–integral, fuzzy logic, model predictive, and sliding mode—are developed and comparatively evaluated under uniform operating conditions. The experimentally measured nonlinear flux linkage and torque characteristics are employed to construct a detailed MATLAB/Simulink model of the SRM. Comparative results from simulation and prototype testing confirm that predictive and sliding mode controllers yield superior torque smoothness and faster dynamic response, while conventional methods offer ease of implementation. The study establishes a unified framework for quantitative assessment of torque control strategies in SRM applications.