模糊神经网络自适应PID控制在烟叶复烤系统中的应用  

An Application of Fuzzy Neural Adaptive PID Control in a Tobacco Leaf Re-Baking System

作　　者：宋北光 

机构地区：[1]河南省电子规划研究院,郑州450003

出　　处：《河南科学》2006年第6期899-901,共3页Henan Science

基　　金：河南省自然科学基金项目(0411010300);河南省教育厅自然科学基金项目(2004510005)

摘　　要：烟叶复烤过程具有时滞、不确定、非线性特性,仅利用常规P ID控制不能使复烤过程的各项性能指标满足要求.本文提出了一种模糊神经网络自适应P ID控制器,该控制器即具有模糊控制简单和有效的非线性控制作用,又具有神经网络学习和自适应能力和P ID的广泛适应性.仿真结果表明,该控制器能对烟叶复烤过程进行有效控制.There is lagging uncertainty and nonlinear in the process of re-baking of tobacco leaf, so it is unable to satisfy every performance target only by usual controlling method. Aiming at the deficiency and limitation, the PID control based fuzzy neural network is proposed in this paper. The controller possesses not only the simplicity and the nonlinear control ability of fuzzy control, but also the learning and adaptive functions by using neural network, furthermore, the controller is as widely adaptive as PID regulation, the results of simulation were performed to demonstrate that the controller can achieve efficacious result in of tobacco leaf.

关 键 词：烟叶复烤 模糊神经网络 自适应 PID 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]