首页 | 本学科首页   官方微博 | 高级检索  
     检索      

间歇过程模糊预测学习控制器的设计与仿真
引用本文:冯冬青,李玮,费敏锐,陈铁军.间歇过程模糊预测学习控制器的设计与仿真[J].系统仿真学报,2007,19(13):3018-3021.
作者姓名:冯冬青  李玮  费敏锐  陈铁军
作者单位:1. 郑州大学信息与控制研究所,郑州,450002;上海大学机电工程与自动化学院,上海,200072
2. 郑州大学信息与控制研究所,郑州,450002
3. 上海大学机电工程与自动化学院,上海,200072
基金项目:高等学校博士学科点专项科研项目;河南省自然科学基金
摘    要:针对工业间歇过程的控制问题,分析比较了现有的两类反馈-前馈迭代学习算法在解决工业间歇过程控制系统滞后问题上的缺陷,采用T-S模糊预测模型,在原有反馈-前馈迭代学习算法基础上引入预测思想,研究了基于模糊预测的迭代学习算法,并设计了一种模糊预测学习控制器。以具有滞后、变参数特性的间歇过程为例,进行了仿真研究,验证了提出方法的有效性。

关 键 词:间歇过程  模糊模型预测  迭代学习控制  MATLAB仿真
文章编号:1004-731X(2007)13-3018-04
收稿时间:2006-05-29
修稿时间:2006-05-292006-12-25

Design and Simulation of Fuzzy Predictive Learning Controller for Batch Process
FENG Dong-qing,LI Wei,FEI Min-rui,CHEN Tie-jun.Design and Simulation of Fuzzy Predictive Learning Controller for Batch Process[J].Journal of System Simulation,2007,19(13):3018-3021.
Authors:FENG Dong-qing  LI Wei  FEI Min-rui  CHEN Tie-jun
Institution:1.Institute of Information and Control, Zhengzhou University, Zhengzhou 450002, China; 2.School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072, China
Abstract:As for the control of industrial batch processes, it is the limitation of the two existent kinds of feedback-feed forward iterative learning algorithm to solving delayed questions of industrial batch process control systems that is analyzed and compared. Based on these, T-S fuzzy predictive model was adopted. Predictive idea was introduced into the old feedback-feedforward iterative learning algorithm. An improved algorithm of iterative learning control (ILC) based on fuzzy prediction was researched and a kind of fuzzy predictive learning controller was designed. The batch process with the pure lag and time-variation parameters was simulated, which turned out that the method works well.
Keywords:batch process  fuzzy model prediction  iterative learning control  MATLAB simulation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号