Hysteresis Current Controlled Pmbldc Motor Drive
نویسندگان
چکیده
The paper presents a methodology for developing adaptive speed controllers in a permanent-magnet brushless DC (BLDC) motor drive system. A proportional-integral controller is employed in order to obtain the controller parameters at each selected load. The resulting data from PI controller are used to train adaptive neuro-fuzzy inference systems (ANFIS) that could deduce the controller parameters at any other loading condition within the same region of operation. The ANFIS controller is tested at numerous operating conditions with hysteresis current controlled position determination. Paper also provides MATLAB developed PMBLDC motor model and simulation of PI speed controller in comparison with ANFIS controller. The BLDC motor drive system with PI controller exhibits higher overshoot and settling time when compared to the designed ANFIS controller.
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