Control of Switched Reluctance Motor and Noise Reduction Using Fuzzy Controller in Matlab/Simulink

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B. Srilatha 1,* Sheeba Kumari C 1 Tina Elizabeth Thomas 1

1. Department of Electronics & Communication Engineering, The Oxford College of Engineering, Bangalore-68, India

* Corresponding author.


Received: 19 Jan. 2024 / Revised: 6 Feb. 2024 / Accepted: 4 Mar. 2024 / Published: 8 Jun. 2024

Index Terms

Switched Reluctance Motor (SRM), fuzzy logic controller, acoustic noise, radial force, MATLAB/Simulink


Switched Reluctance Motor (SRM) has been successfully used for its excessive efficiency and higher strength to torque ratio. However, the only demerit it has its radial pressure and acoustic noise. When SRM achieves higher speeds, it tends to generate more force between stator and as a result acoustic noise with higher decibels is a concern. In this paper, a layout is used for reduction of both radial force and acoustic noise for eight/6 SRM using the fuzzy logic controller by controlling the speed and current as a feedback loop. The mathematical models are framed to resolve glitches associated to radial pressure and acoustic noise. In this proposed method the SRM produces a very low noise level when it rotates at the speed of 1200 RPM. This method also has been implemented in MATLAB/Simulink platform mainly to reduce the acoustic noise at higher speed in SRM.

Cite This Paper

B. Srilatha, Sheeba Kumari C, Tina Elizabeth Thomas, "Control of Switched Reluctance Motor and Noise Reduction Using Fuzzy Controller in Matlab/Simulink", International Journal of Engineering and Manufacturing (IJEM), Vol.14, No.3, pp. 36-47, 2024. DOI:10.5815/ijem.2024.03.04


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