A Comparative Analysis Of PI And Neuro Fuzzy Controllers In Direct Torque Control Of Induction Motor Drives
نویسندگان
چکیده
The implementation of conventional DTC in Induction Motor drives consisting of PI torque controller suffers from complex tuning and Overshoot problems. One of the various methods to tackle this problem is implementation of intelligent controllers like neuro fuzzy-based controller This paper presents the simulation and analysis of a Neuro fuzzy-based torque controller for DTC of Induction motor drives. This control scheme uses the speed error calculated from reference speed and estimated speed which generates the estimated Torque and compared with the actual Torque and generates the inverter switching states. In this paper a modified ANFIS structure is proposed. This structure generates the desired reference voltage which regulates the performance of induction motor. Comparisons and analysis under various operating conditions between hysteresis-based PI torque controller and Neuro fuzzy-based torque controller are presented. The results show that the proposed controller managed to reduce the overshoot and give better
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