GA based automatic design and optimization of QFT controller

Author

Wang, Qingwei ; Liu, Zhenghua ; Er, Lianjie

Author_Institution

Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut.

fYear

2006

fDate

19-21 Jan. 2006

Lastpage

1188

Abstract

QFT can provide robust control for plants with large uncertainties. Since manual design with the help of QFT box in Matlab is complicated and even unsolvable and existent automatic design methods are limited in optimization. Based on genetic algorithm (GA), 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. To obtain good performance of the controller in a relatively short time, the manual design and the automatic design are combined to form the optimization of QFT controller based on GA. Compared with the results of manual design and other automatic design methods, the performance of the QFT controller designed by this method is better and the efficiency of searching scheme is high. It is an automatic and optimal design method for QFT robust controller

Keywords

control system synthesis; genetic algorithms; optimal control; robust control; uncertain systems; GA based automatic design; QFT controller optimization; QFT robust controller; genetic algorithm; optimal design method; optimization index; quantitative feedback theory; Automatic control; Design methodology; Design optimization; Feedback loop; Frequency conversion; Mathematics; Open loop systems; Optimal control; Robust control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on

Conference_Location

Harbin

Print_ISBN

0-7803-9395-3

Type

conf

DOI

10.1109/ISSCAA.2006.1627577

Filename

1627577