Neuro-fuzzy Compensation Strategy to Minimise Torque Ripple in Switched Reluctance Motor Drives
نویسندگان
چکیده
Simple power electronics and fault tolerance are advantages of SRM drives. However, excessive torque ripple has limited their application. This paper presents a novel method of controlling the motor currents to minimise the torque ripple based on a neurofuzzy compensator. In the proposed controller, a compensating signal is added to the output of a PI controller, in a current-regulated speed control-loop. The compensating signal is learned prior to normal operation, in a self-commissioning run, but the neuro-fuzzy methodology is also suitable for on-line self-learning implementation, for continuous improvement of the compensating signal. Copyright 2000 IFAC
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