Title :
A fast setting method of parameters in FCS based on genetic algorithm
Author :
Li, Guangwen ; Jia, Qiuling ; Liu, Xiaoxiong
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
The performance and flying quality of the aircraft depend on its flight control system (FCS), and the parameters of the FCS are very difficult to set because the aircraft is a time-varying system and the monotone changing laws of the parameters are required. In this paper, a fast setting method of the parameter of FCS, which is based on the genetic algorithm (GA), is proposed. In this method the requirement on the parameter and the flying quality are considered. To validate the effect of this method, a simulation of a kind of aircraft, which covers a big flying envelope, is made. The result shows that parameters gotten by the given fast method are satisfied.
Keywords :
aircraft control; genetic algorithms; time-varying systems; aircraft; flight control system; flying quality; genetic algorithm; parameter setting; time-varying system; Aerospace control; Aircraft; Automation; Educational institutions; Genetic algorithms; Logistics; Optimization methods; Performance analysis; Robustness; Time varying systems; Aircraft; FCS; GA;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262586