摘要
针对一类非线性过程,提出了基于T-S模糊模型的非线性内模控制方法。使用遗传算法和模糊聚类方法进行模糊建模,解决了非线性内模控制方法中建立精确的模型及其逆模型困难的问题。通过模糊辨识获得过程的T-S模型及逆模型,并以此设计了内模控制器。最后,将该方法应用于一类非线性过程的控制,仿真结果表明该方法的有效性。
Considering a class nonlinear process,the nonlinear internal model method based on T-S Fuzzy model is put forward in this paper.Using the genetic algorithm and fuzzy clustering method for fuzzy modeling,solve the difficult problem which is model and inverse model in the nonlinear internal model control.By fuzzy identification achieving T-S model and inverse model of the process,this paper design internal model controller based on this.This method is applied to the control for a class of nonlinear process.The simulation result shows the effectiveness of the method.
出处
《工业控制计算机》
2011年第6期82-84,共3页
Industrial Control Computer
基金
山西省研究生优秀创新项目(20093102)
关键词
遗传算法
模糊建模
参数辨识
内模控制
genetic algorithm
fuzzy modeling
parameter identification
internal model control
