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Optimized Fast Terminal Sliding Mode Control for Permanent Magnet Synchronous Motor Drives Speed Regulation

Research output: Contribution to journalConference articlepeer-review

Abstract

Permanent Magnet Synchronous Motors (PMSMs) are widely used in precision drive systems due to their high efficiency and compactness; however, nonlinear dynamics and external disturbances pose challenges for accurate speed regulation. This paper proposes a Particle Swarm Optimized Fast Terminal Sliding Mode Control (PSO-FTSMC) scheme for PMSM speed regulation. The Fast Terminal Sliding Mode (FTSM) structure ensures finite-time convergence and robustness against uncertainties and disturbances, while Particle Swarm Optimization (PSO) is employed offline to automatically tune the controller parameters by minimizing a composite integral performance index. A comparative evaluation is conducted against conventional Terminal Sliding Mode Control (TSMC) under identical PMSM parameters and load disturbance conditions. Simulation results demonstrate that the proposed PSO-FTSMC achieves faster convergence, lower overshoot, and reduced chattering, with a smoother control effort, compared to TSMC.

Original languageEnglish
Pages (from-to)59-65
Number of pages7
JournalInternational Multi-Conference on Systems, Signals, and Devices, SSD
Issue number2026
DOIs
StatePublished - 2026
Event23rd International Multi-Conference on Systems, Signals and Devices, SSD 2026 - Catania, Italy
Duration: 31 Mar 20261 Apr 2026

Bibliographical note

Publisher Copyright:
© 2026 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Chattering Suppression
  • Fast Terminal Sliding Mode Control (FTSMC)
  • Finite-Time Convergence
  • PMSM
  • Particle Swarm Optimization (PSO)
  • Robust Control
  • Speed Control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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