基于单神经元自适应PID的异步电动机控制研究

Research on asynchronous motor control based on single neuron adaptive PID

文章选用一种单神经元自适应控制结构,并采用有监督的Hebb学习规则,实现了对异步电动机高阶、非线性系统的单神经元PID控制。同时,使用Simulink对常规PID控制和单神经元自适应PID控制进行了仿真研究,并对比两种控制方法,探讨了电动机参数改变对系统控制品质的影响。仿真结果表明,单神经元PID控制对电动机参数的改变具有一定的鲁棒性,控制性能优良。

In this paper,a single neuron adaptive control structure is selected and the Supervised Hebb Learning Rules are used to achieve single neuron PID control for high order and nolinear systems of asynchronous motors.At the same time,the Simulink is used to simulate the conventional PID control and single neuron adaptive PID control,and the influence of the change of the motor parameters on the control quality of the system is discussed by comparing the two control methods.The simulation results show that the single neuron PID control is robust to the change of system parameters,and the control performance is excellent.