In order to achieve the adaptability and rapid response of motor automation control,and improve the gener-alization ability of the control process for different working conditions,a PID controller based motor automation con-trol method for power operating equipment is proposed.A mathematical model of the motor for power operating e-quipment is constructed,and neural elements and PID are fused to construct a single neuron PID adaptive controller.Nonlinear approximation of the motor speed error of power operating equipment is achieved through radial basis function network,and it is used as the feedforward path of the single neuron PID adaptive controller for nonlinear compensation of motor speed error.During the control process,the parameters of the radial basis function network and the single neuron PID adaptive controller are continuously adjusted.Based on the feedback path of the single neuron PID adaptive controller after parameter adjustment,precise control of motor speed error is achieved.Through experimental verification,it is known that the motor speed control of power operating equipment achieved by this method has small operating errors,and can quickly respond to motor speed jumps and sudden drops,quickly restoring stable motor speed.
关键词
电力运行设备/电机自动化控制/神经元/PID控制器/径向基函数网络
Key words
electric power operation equipment/motor automation control/neurons/PID controller/radial basis function network
维普
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