Fuzzy Inference of Excitation Angle for Direct Torque-Controlled Switched Reluctance Motor Drives

This study proposed a fuzzy excitation controller to reduce noise and torque ripples for switched reluctance motors. The design of the controller is simple and can generate appropriate turn-on and turn-off angles according to the speed of torque error in order to improve the torque response. At the motor speed of 300 rpm with one Nm load, the experimental results showed that the implantation of a fuzzy excitation controller in the driver system substantially improved the steady state torque ripples generated when compared to those generated by traditional controllers (at fixed excitation angles), especially at low speeds.