一类非线性系统的模糊推理建模与控制仿真  

Fuzzy modeling and control simulation for a nonlinear system

作　　者：杨文光[1] 赵海良[1] 

机构地区：[1]西南交通大学智能控制开发中心,四川成都610031

出　　处：《河北科技大学学报》2008年第2期165-168,共4页Journal of Hebei University of Science and Technology

基　　金：西南交通大学校立基金资助项目(2005A26)

摘　　要：针对一类非线性系统,首先使用模糊推理建模法由输入输出数据对得到该系统的数学模型,然后直接对所得的模型进行变论域自适应模糊控制,最后在不同参考输入情况下进行了仿真实验,并与常规模糊控制进行了比较。结果表明,基于模糊推理模型基础上的变论域自适应模糊控制具有相当的普适性和非常好的跟踪性、实时性。This paper focuses on a nonlinear system. First, the fuzzy inference modeling method based on the data of input-output is applied to first-order nonlinear system, and a mathematical model is deduced. Then, the important tool, variable-universe adaptive fuzzy control method is used in the model directly. Finally the simulation experiments are carried out on different inference inputs, and compared with the standard fuzzy control. The results indicate the variable-universe adaptive fuzzy control based on the fuzzy inference model is widely applied with real-time and quick response.

关 键 词：非线性系统 模糊推理建模 变论域自适应模糊控制 仿真 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]