Title :
Fixed Structure Flight Control Law Design Based on Genetic Algorithm
Author :
Qing-tang, Feng ; Zhi-hong, Jiang ; Ji-hong, Zhu ; Shi-qian, Liu
Author_Institution :
State Key Lab. of Intelligent Technol. & Syst., Tsinghua Univ., Beijing
Abstract :
The development of flight control systems using classical control techniques is a costly and time-consuming process. This paper shows how to use genetic algorithm (GA) and modern control techniques to determine the control parameters of the flight control law within the classical structure. An example of designing longitudinal flight control law with the proposed method is presented. The designed flight control law be simulated on a 6 degree-of-freedom nonlinear model of the aircraft
Keywords :
aerospace control; control system synthesis; genetic algorithms; performance index; flight control law design; genetic algorithm; quadratic performance index; Aerospace control; Aerospace engineering; Aircraft propulsion; Algorithm design and analysis; Control systems; Elevators; Frequency measurement; Genetic algorithms; Q measurement; Systems engineering and theory; flight control law; genetic algorithm; quadratic performance index;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281735