DocumentCode :
2224921
Title :
Small unmanned helicopter longitudinal control PID parameter optimization based on genetic algorithm
Author :
Ping, Zhao Wei ; Chao, Du Yun ; Zhou, Yu Dong
Author_Institution :
Shen Yang Aerosp. Univ., Shenyang, China
Volume :
6
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
The PID control as a popularly control method that is used in the control system, this control method is still adopted in many practical applications of the process currently. The paper mainly discusses the classical PID tuning methods, and on the basis of the method, which achieve a small unmanned helicopter longitudinal PID control parameters optimization by introducing the idea of genetic algorithm. The performance of control system is assured when adopting genetic algorithms. The simulation results comparing with the classical PID tuning methods shows that PID controller that is designed with genetic algorithms is better flexibility, and can obtain the better control effect.
Keywords :
aircraft control; attitude control; genetic algorithms; helicopters; remotely operated vehicles; three-term control; PID control; PID parameter optimization; PID tuning methods; control system performance; genetic algorithm; unmanned helicopter longitudinal control; Computer languages; Helicopters; Genetic algorithm; PID; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579403
Filename :
5579403
Link To Document :
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