Title :
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
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;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.184
