DocumentCode :
2999716
Title :
MOGA-based coordinated turning control laws design for a certain helicopter
Author :
Xing, Xiaojun ; Qu, Yaohong ; Jia, Qiuling ; Yuan, Dongli
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xian
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
1882
Lastpage :
1886
Abstract :
In order to obtain the optimal parameters of flight control laws for a certain helicopterpsilas coordinated turning motion, a novel method based on multi-objective genetic algorithm (MOGA) is proposed. In this method, design of flight control laws for coordinated turning motion is viewed as a multi-objective optimization problem (MOP) where obtaining optimal performances in each design flight envelop are treated as sub-objectives and that in all design flight envelops are looked upon as overall objectives, parameters of coordinated turning control laws, specified performance criteria are respectively viewed as decision variables and constraints. Then MOGA is used to solve the MOP intention to find out the optimal parameters of control laws for coordinated turning motion in all chosen flight envelops. The simulation results show that the parameters own better ability of restraining sideslip, better adaptability and robustness, which further prove that the method is effective.
Keywords :
aircraft control; attitude control; control system synthesis; genetic algorithms; motion control; coordinated turning motion control law design; decision variable; flight envelop control law design; helicopter control; multiobjective genetic algorithm; optimal parameter; performance criteria; sideslip restrainment; system adaptability; system robustness; Aerospace control; Constraint optimization; Design methodology; Design optimization; Genetic algorithms; Helicopters; Motion control; Optimal control; Robustness; Turning; Coordinated Turning; MOGA; control laws; flight; helicopter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636465
Filename :
4636465
Link To Document :
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