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박한웅(Han Woong Park),원태현(Tae Hyun Won),박성준(Sung Jun Park),추영배(Young Bae Choo),김철우(Chul Woo Kim),황영문(Young Moon Hwang) 전력전자학회 1998 전력전자학술대회 논문집 Vol.- No.-
A neuro-fuzzy based torque profile model of SRM with considerably improved accuracy is obtained using the measured data for training, The inferred torque profiles, which comprise magnetic non- linearities, represent the dynamic model of SRM. Then the reference torque signal with optimized waveform and switching angle are decided to control the torque directly Hence, the presented scheme controls the torque in an instantaneous basis, allowing powerful torque control with minimum torque ripple even during the transient operation of the motor. Simulation and experimental demonstrating the effectiveness of the proposed torque control scheme are presented.<br/> <br/>