Sliding-Mode Control Strategies for PMSM: Benchmarking and Comparative Simulation Study
Mubarak Badamasi Aremu, Abdullah Ajasa, Ali Nasir

TL;DR
This paper benchmarks six sliding-mode control strategies for PMSM speed regulation, providing a standardized comparison framework and practical insights for selecting robust, efficient, and implementable control methods.
Contribution
It introduces a unified simulation benchmark and comparative analysis of six SMC variants for PMSM, with standardized models and evaluation criteria.
Findings
Adaptive and higher-order SMCs outperform others in robustness and smoothness.
Super-twisting and adaptive SMCs offer the best trade-off between performance and computational cost.
The study provides guidelines for parameter tuning and implementation in real-time systems.
Abstract
Permanent Magnet Synchronous Motors (PMSMs) are widely employed in high-performance drive systems owing to their high efficiency and power density. However, nonlinear dynamics, parameter uncertainties, and load disturbances complicate their control. Sliding-Mode Control (SMC) offers strong robustness but exists in numerous variants with unstandardized evaluation criteria. This paper presents a unified simulation benchmark and comparative analysis of six representative SMC techniques for PMSM speed regulation: conventional, integral, terminal, fractional-order, adaptive, and super-twisting. A standardized PMSM model, disturbance profile, and tuning protocol are adopted to ensure fair comparison across all methods. Performance is assessed through time-domain responses, integral error indices (ISE, IAE, ITSE, ITAE), and control-effort profiles, while also examining computational complexity…
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Taxonomy
TopicsSensorless Control of Electric Motors · Control Systems in Engineering · Iterative Learning Control Systems
