Vector control of switched reluctance motor using fuzzy logic and artificial neutral network controllers

Switched reluctance motor is an electric motor which possesses advantageous features that qualifies it to be used in electric vehicle and aerospace application. There are various drivers have been previously and actively being used to drive the switched reluctance motor. In this paper, the switched reluctance motor is controlled utilizing vector control using fuzzy logic controller and ANN controller in order to minimize the torque ripple by regulating torque within specified hysteresis band. Both fuzzy logic and ANN Control of Switched Reluctance Motor fed through an asymmetrical converter. Both of controllers are simulated in MATLAB/Simulink for fixed SRM parameters. According to the obtained results the switched reluctance motor is performing very well when driven by fuzzy logic controller in comparison to the ANN controller.