基于小波神经网络免疫PID控制器的研究

针对PID控制器，本文介绍了一种基于小波神经网络的免疫PID控制器。由于小波变换具有较好的时频局部性．神经网络拥有较强大的非线性映射的能力、自适应、自学习等优势，将规范正交的小波函数与神经网络的基函数相结合构成小波神经网络．该网络同时具有小波和神经网络的优点，本文用小波神经网络来逼近免疫PID的函数，试验以及仿真结果表明，本文介绍的控制器性能优于其它类型免疫PID控制器。

Study of Immune PID Controller Based on Wavelets Neural Network

For PID controller, this paper introduces a kind of immune PID controller based on wavelet neural network. Because of wavelet transform has locality good Time-Frequency, neural network has a strong nonlinear mapping ability, adaptive, since study advantage, and so on. Standard orthogonal wavelet function and neural network basis functions constituted wavelet neural network, the network at the same time have advantages of wavelet and neural network, this article use the wavelet neural network to approximate the immune PID function, test and the simulation results show that, the immune PID controller, in this paper, is better than other types of immune PID controller.