Research of Intelligence Control for Flying Altitude of Four Rotors Flyer

Author

Xu, Lifang ; Jiang, Shouda

Author_Institution

Dept. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China

Volume

2

fYear

2010

fDate

23-24 Oct. 2010

Firstpage

294

Lastpage

298

Abstract

Four rotors flyer(FRF) is difficult to control because its control system is a multi-inputs and multi outputs with characteristics of nonlinear, strong coupling and sensitive to disturbance. In this paper, several intelligence control methods including genetic algorithm(GA), immune algorithm(IA), radial basis function(RBF), fuzzy system(FS) are used to control the flyer and the performance is analyzed respectively. The results show that RBF has the best performance in all the tests of pitch and yaw control of FRF.

Keywords

MIMO systems; aerospace robotics; aircraft; artificial immune systems; attitude control; fuzzy systems; genetic algorithms; intelligent robots; mobile robots; radial basis function networks; autonomous unmanned air vehicle; flying altitude; fuzzy system; genetic algorithm; immune algorithm; intelligence control; multi-inputs multi output system; radial basis function; rotor flyer; Artificial intelligence; Control systems; Gallium; Helicopters; Propellers; Rotors; Unmanned aerial vehicles; flying altitude; four rotors flyer; intelligence control;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-8432-4

Type

conf

DOI

10.1109/AICI.2010.184

Filename

5656830