基于神经网络逆模型的Fuzzy-PID控制方法及其应用研究

The Control Method of Fuzzy-PID Based on Neural Network Contrary Modeling and Its Application Research

在Ｆｕｚｚｙ－ＰＩＤ复合控制的基础上提出了一种基于神经网络逆模型的Ｆｕｚｚｙ－ＰＩＤ控制方法。该方法综合了模糊控制、神经网络控制和ＰＩＤ控制的优点， 使复杂工业过程中的非线性、时变等问题都得到了较好的解决。仿真结果表明， 该控制器具有较好的适应性和鲁棒性， 结构简单， 易于实现。

In this paper, presents a control method of Fuzzy PID based on neural network contrary modeling, according to the Fuzzy PID compound control method. It synthesizes advantages of fuzzy control, neural network control and PID control, and makes nonliear problem, varied time problem and other problem in the complex industrial process be solved effectually. The simulation results of the control method demostrate that it has good performance in many cases, such as adaptability and robustness, and that its simple structure is easy to be constructed.