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The use of Switched Reluctance Motors (SRMs) has been constrained due to significant speed variations that can lead to instability. To address this challenge, speed control can be effectively managed using PID and fuzzy logic control strategies. This paper exhibits a dual-loop control system for the SRM, consisting of a current loop and a position loop, each controlled independently and concurrently using both PID and fuzzy logic controllers. The performance of these controllers is evaluated and compared to achieve stable speed regulation at the desired level. Simulations are conducted using MATLAB Simulink to demonstrate and analyze the results.

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Enhanced Speed Control for Switched Reluctance Motor a PID and Fuzzy Logic Approach

  • 会议论文

  • 发表日期：

    2025年

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  • Gopinath Sengupta,
  • Alok Kanti Deb,
  • Satya Sundar Mishra,
  • Nikhil Kumar Mishra

摘要

The use of Switched Reluctance Motors (SRMs) has been constrained due to significant speed variations that can lead to instability. To address this challenge, speed control can be effectively managed using PID and fuzzy logic control strategies. This paper exhibits a dual-loop control system for the SRM, consisting of a current loop and a position loop, each controlled independently and concurrently using both PID and fuzzy logic controllers. The performance of these controllers is evaluated and compared to achieve stable speed regulation at the desired level. Simulations are conducted using MATLAB Simulink to demonstrate and analyze the results.