Torque ripple minimization for switched reluctance motors using a fuzzy logic and sliding mode control

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Abstract

This paper presents a torque ripple reduction algorithm for the switched reluctance motor drives using the fuzzy logic and the sliding mode control. A turn-on angle controller based on the fuzzy logic determines the optimal turn-on angle. In addition, a sliding mode torque control (SMTC) methods reduces torque ripples instantaneously in the commutation region. The proposed algorithm does not require complex system models considering nonlinear magnetizing or demagnetizing periods of the phase current. According to the rotor speed and torque, the proposed controller changes the turn-on angle and reference torque instantaneously until the torque ripples are minimized. The simulation and experimental results verify the validity of minimizing the torque ripple performance.

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APA

Yoon, J. S., Kim, D. H., Shin, H. U., & Lee, K. B. (2014). Torque ripple minimization for switched reluctance motors using a fuzzy logic and sliding mode control. Transactions of the Korean Institute of Electrical Engineers, 63(10), 1384–1392. https://doi.org/10.5370/KIEE.2014.63.10.1384

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