Design of radial basis function neural network controller for BLDC motor control system
نویسنده
چکیده
Brushless DC(BLDC) motors are widely used for many industrial applications, In view of the problem that it is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID controller. a online identification method based on Radial Basis Function(RBF) has been proposed in this paper. In this method, connection weight of neural network was revised in time according to the speed of motor and phase current, the duty cycle of pulse width modulation (PWM) was adjusted to control the speed of BLDC motor. Conventional PID and RBF neural network PID algorithm were respectively adopted to make a comparison. the control approach was validated with simulation at first and then was implemented with a DSP TMS320F28035. Matlab simulations and experiment results showed that the proposed approach has less overshoot, faster response, stronger ability of anti-disturbance than the conventional PID controller.
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