In this paper,an iterative algorithm of speed PID parameters based on the logical framework of the flex-ible neural network is constructed,and the activation function of the flexible neural network is improved.Without training a large number of data samples in advance,the adjustment of speed correction is first transformed into the ad-justment of torque change trajectory.Then the KP,Ki and KD parameters of the incremental PID regulator are adjus-ted online to force the electromagnetic torque to approach the torque balance point,while the speed reaches the given value.Compared with the traditional speed PI controller with good dynamic response,the simulation results show that under the control of the speed PID parameter adaptive iterative algorithm proposed in this paper,the switched reluc-tance motor has better speed regulation performance and lower torque ripple.
关键词
开关磁阻电机/自适应/柔性神经网络/激活函数
Key words
Switched reluctance motor/Self-adaption/Flexible neural network/Activation function
维普
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