Fuzzy model based predictive control of nonlinear processes

被引：0

作者：

Bara, Alexandru ^{[1
]}

Dale, Sanda ^{[1
]}

机构：

[1] Univ Oradea, Dept Automat & Dr, Fac Elect Engn & Informat Technol, Oradea, Romania

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR 2008), THETA 16TH EDITION, VOL II, PROCEEDINGS | 2008年

关键词：

relational fuzzy model; predictive control; model - based control; optimization problem;

D O I：

10.1109/AQTR.2008.4588821

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method of designing a nonlinear predictive controller based on relational fuzzy model is presented. The fuzzy model is incorporated as a predictor in a nonlinear model - based predictive controller, using internal model control scheme to compensate disturbances and modeling errors. A non-convex optimization problem must be solved at each sampling period. The algorithm is applied to temperature control in a heat exchanger.

引用

页码：203 / 206

页数：4

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