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- W4324331666 abstract "In recent years, the applications of Changed Reluctance Motors have expanded, from control system stepping motors to high torque e-vehicle applications. High-speed operation and a light-weight driving motor are required for an effective electric vehicle design. Switched reluctance motor (SRM) is ideal for use in electric vehicles due to its low torque-to-weight ratio and magnet-free rotor design. The increased torque ripple is the most serious issue with switching reluctance motors. The optimization technique is used to optimize switching controllers in this study, and a comparison is made between a sliding mode controller (SMC) with a modified reaching law and a new fuzzy controller (FC). The magnitude of torque ripple is simulated and compared for both controllers using a MATLAB simulink model. The proposed innovative fuzzy controller model significantly improved torque performance and reduced torque ripples based on simulation results." @default.
- W4324331666 created "2023-03-16" @default.
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- W4324331666 date "2023-03-01" @default.
- W4324331666 modified "2023-09-25" @default.
- W4324331666 title "Minimization of torque pulsations by using a novel fuzzy controller in SRM drives for EV applications" @default.
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- W4324331666 doi "https://doi.org/10.1016/j.heliyon.2023.e14437" @default.
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