Research and simulation of fuzzy selftuning PID control for BLDCM
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Department of Electrical Engineering School of OpticalElectrical and Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

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TM921.47; TN702

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    Abstract:

    The control system of brushless DC motor, which is widely used in new energy vehicles, has the characteristics of timevarying, nonlinear, strong coupling and many variables. Based on the mathematical model of brushless DC motor, ,based on the mathematical model of Brushless DC motor, this paper presents a simple and practical control strategy, that is, the closedloop speed control scheme of fuzzy selftuning PID control. The fuzzy control rules are set by fuzzy logic, and the PID control parameters are adjusted in real time according to the change of speed. Using MATLAB tools to establish the control system simulation model. The simulation results show that: The advantage of fuzzy adaptive PID control system at the speed of fast response, small overshoot, antijamming and recovery time is short, strong robustness, compared with the traditional PID control has a larger advantage.

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  • Received:
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  • Online: September 23,2017
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