Abstract
In this paper, an ANFIS-primarily based torque controller is used to manage a sun solitary photovoltaic powered feed Switched Reluctance Motor (SRM). High torque ripple, mechanical vibration, and acoustic noise are the main downsides of the SRM. Its nonlinearity and double salient structure cause it to supply torque ripple. There is no developed way for reducing torque ripples in switching reluctance motors. The Maximum Power Point Track method (MPPT) Perturb and Observe (P&O) algorithm is applied to the PhotoVoltaic (PV) system in order to extract the highest level of power from the panel. This research project has completed the modeling and analysis of a switching reluctance motor. ANFIS is significantly more accurate, less difficult, stable, and generalizable than other techniques, as seen by comparisons with other techniques.
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