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This paper investigates the optimal design of switched reluctance motors to obtain higher average torque with lower torque ripple content. This is achieved by shaping both stator and rotor tooth surface regions, using finite element analysis to evaluate the designs. The optimization problem is solved using two methods, namely, a gradient ascent method and a genetic algorithm. In the gradient ascent...
This paper presents a novel method to obtain optimum stator tooth shapes of switched reluctance motors (SRMs) considering tradeoffs between average torque and torque ripple. Typically, torque ripple in SRMs is mitigated by current waveform shaping for a given machine design. Here, the issue is addressed using an inverse approach: the best geometry is found for a given current waveform. A hybrid finite...
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