Design of direct torque control system of motor based on RBF neural network supervisio
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摘要: 针对矿井输送机在低速运行时电动机转矩脉动较大的问题，在传统电动机直接转矩控制系统的基础上，采用RBF神经网络监督控制器代替PID控制器。仿真结果表明，基于RBF神经网络监督的电动机直接转矩控制系统能有效改善磁链波形，降低电动机转矩脉动。Abstract: In view of problem of big torque ripple of motor when mine belt conveyor runs in low speed, the paper used RBF neural network supervision controller to replace PID controller on the basis of traditional direct torque control system of motor. The simulation results show that direct torque control system of motor based on RBF neural network supervision can effectively improve flux waveform, and reduce torque ripple of motor.
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