TY - GEN
T1 - Research of intelligence control for flying atltitude of four rotors flyer
AU - Xu, Lifang
AU - Jiang, Shouda
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Flying altitude
KW - Four rotors flyer
KW - Intelligence control
UR - https://www.scopus.com/pages/publications/78651428696
U2 - 10.1109/AICI.2010.184
DO - 10.1109/AICI.2010.184
M3 - 会议稿件
AN - SCOPUS:78651428696
SN - 9780769542256
T3 - Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010
SP - 294
EP - 298
BT - Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010
T2 - 2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010
Y2 - 23 October 2010 through 24 October 2010
ER -