一种神经网络自适应PID控制器

An Adaptive Neural Network PID Controller

采用神经网络与模糊逻辑相结合的方式，构造了一种自适应ＰＩＤ控制器。该控制器用具有改进学习算法的神经网络作ＰＩＤ参数调节器，用模糊神经网络对被控对象进行模型辨识。综合了神经网络、模糊控制和ＰＩＤ控制的优点。结构简单，易于实现，且适应环境能力强。

An adaptive PID controller is designed by combining neutral network with fuzzy logic. In this controller, an improved study algorithm is adopted as the PID parameter regulator, and a fuzzy network is employed to identify the controlled objects. The system makes full use of the advantages of neural networks, fuzzy control and PID control. It possesses a simple structure, easy realization and good ability to adapt to circumstances.