DocumentCode :
3107920
Title :
Learning fuzzy logic controller for hovering a helicopter
Author :
Sasaki, Minoru ; Ishida, Hiroaki ; Katsuno, Teruyo ; Ogasawara, Akimoto
Author_Institution :
Dept. of Mech. & Syst. Eng., Gifu Univ., Japan
fYear :
1998
fDate :
20-21 Aug 1998
Firstpage :
25
Lastpage :
28
Abstract :
This paper describes a learning fuzzy logic controller for hovering a helicopter. It is difficult to find a mathematical model of the helicopter as opposed to conventional control systems. On the other hand, a fuzzy logic controller is not needed to find the troublesome mathematical model. However, it is not easy to acquire the control rule. For overcoming this difficulty, we apply the learning fuzzy logic controller for controlling helicopter hovering. From the numerical simulation results, the validity of the control system is confirmed
Keywords :
aircraft control; fuzzy control; helicopters; learning (artificial intelligence); numerical analysis; control rule; helicopter hovering control; learning fuzzy logic controller; mathematical model; numerical simulation; Aircraft; Control system synthesis; Fuzzy control; Fuzzy logic; Gravity; Helicopters; Numerical simulation; Programmable control; Sliding mode control; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location :
Pensacola Beach, FL
Print_ISBN :
0-7803-4453-7
Type :
conf
DOI :
10.1109/NAFIPS.1998.715522
Filename :
715522
Link To Document :
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