Automatic design of QFT robust controller based on genetic algorithms

被引：0
|
作者：
Wang, Qingwei [1 ]
Liu, Zhenghua [1 ]
Er, Lianjie [1 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China
来源：
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年
关键词：
quantitative feedback theory; robust control; genetic algorithms; automatic design;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
QFT can provide robust control for the plant with large uncertainties. Since the manual design with the help of QFT box in Matlab is complicated and even unsolvable and the existed automatic design methods are limited in optimization, based on the genetic algorithms, a more effective automatic design methodology of QFT robust controller is proposed. Some new optimization indexes are adopted, so the design method is more mature. Comparing with the results from the manual design and other automatic design methods, the performance of the QFT controller based on genetic algorithms is the best. It is an automatic and optimal design method for QFT robust controller. This method is effective, successful and applicable.
引用
收藏
页码：2272 / 2276
页数：5
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