单神经元自适应PID控制在异步电机限流软起动中的仿真研究

考虑到软起动过程中电机和调压装置模型参数的变化及电机负载类型的多变性，导致经典PID难以实现软起动全过程的最优控制，提出了一种单神经元自适应PID控制算法。该算法以经典PID为基础，既保留了神经网络控制的优点，又简单易行。仿真结果表明，该控制算法不仅动态特性优良，且具有较好的适应性和鲁棒性。

Simulation Research on Soft Starting of Asynchronous Motor at Constant Current Based on an Adaptive Single Neuron PID Control Algorithm

Considering the fact that the model parameters of motor and power electronic device and the kinds of motor load are changeable in the process of soft start,it is impossible for the traditional PID to realize the optimal control in the whole start process. For seeking the optimal starting process,an adaptive single neuron PID control algorithm is presented in this paper. Based on conventional PID,the new algorithm holds the merit of NN,and can be easily realized. This algorithm is simulated in the system built by MATLAB,and the simulation results show that this control algorithm is not only effective to limit the start-up current, but also robust against parameters variation and load change.