基于神经网络的专家控制及其在砂轮回转实验机中的应用

Expert Control Based on Neural Networks and Its Application on Grinder Experiment Machine

介绍了用神经网络实现的砂轮回转实验机直流调速专家控制系统的基本结构，仿真实验证明控制效果较好。并证明了神经网络可以逼近满足一定条件的离散专家控制算法。

Based on the BP neural networks, a neural network expert control structure for realizing d c speed control of the grinder experiment machine has been studied.It has been demonstrated that a dynamic expert controller subject to a certain condition can be replaced by the neural networks. Simulation results have shown that the expert controller based on neural networks is more adaptive than the traditional controllers.