Title :
Autonomous flight control for an RC helicopter
Author :
Camilleri, Michael ; Scerri, Kenneth ; Zammit, Saviour
Author_Institution :
Dept. of Commun. & Comput. Eng., Univ. of Malta, Msida, Malta
Abstract :
This paper presents an autopilot system for a Radio Controlled (RC) helicopter, in a simulation environment. The controller is designed using Fuzzy Logic in order to achieve simplicity and cost effectiveness. The system controls the helicopter from takeoff to landing, allowing the craft to reach any position and hover stably with a defined yaw attitude at the request of the user. The Fuzzy Inference Systems (FIS) in use were able to allow for these operations with more than satisfactory results, even in simulated winds.
Keywords :
autonomous aerial vehicles; control system synthesis; fuzzy control; fuzzy reasoning; helicopters; mobile robots; robot kinematics; RC helicopter; autonomous flight control; autopilot system; controller design; fuzzy inference system; fuzzy logic; helicopter landing; helicopter takeoff; radio controlled helicopter; Acceleration; Attitude control; Control systems; Educational institutions; Helicopters; Mathematical model; Autonomous Helicopter Flight; Unmanned Aerial Vehicles; fuzzy logic control;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196456
