ArticleScientific reports2025
Enhanced adaptive sliding mode control with termination parallelism cooperative optimization for torque ripple reduction in switched reluctance motor drives.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Improving efficiency of SMC based IFOC drive for induction motor applying MRAS based adaptive loss model control.Scientific reports · 2025Article
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Abstract
Switched Reluctance Motor (SRM) technology has gained significant attention in various industries due to its reliability, cost-effectiveness, and efficiency. However, torque ripple remains a major issue, impacting the performance of SRM drives. This paper presents an enhanced Adaptive Sliding Mode Control (ASMC) strategy to reduce torque ripple in SRM drives. The proposed control scheme integrates an outer-loop ASMC controller for speed regulation and an inner-loop ASMC controller combined with a hysteresis controller for precise torque control, with the primary goal of minimizing ripple torque while maintaining the desired motor speed. The design process begins with the development of an 8/6 SRM model in MATLAB/Simulink, followed by the implementation of the control architecture. An advanced optimization technique, Termination Parallelism Cooperative Optimization (TPCO), is used to fine-tune system parameters and improve performance. The results demonstrate significant improvements in torque ripple reduction under different load conditions, achieving reductions of up to 80% under light load and 36.84% under heavy load conditions. These findings highlight the effectiveness of the proposed ASMC strategy in reducing torque ripple and improving efficiency, providing a promising solution for SRM-based drive systems.
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