DocumentCode :
3017099
Title :
Robust take-off and landing for a quadrotor vehicle
Author :
Cabecinhas, D. ; Naldi, R. ; Marconi, L. ; Silvestre, C. ; Cunha, R.
Author_Institution :
Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal
fYear :
2010
fDate :
3-7 May 2010
Firstpage :
1630
Lastpage :
1635
Abstract :
This paper addresses the problem of robust takeoff and landing control of a quadrotor UAV (Unmanned Aerial Vehicle). During the critical flight phases of takeoff and landing the vehicle dynamics change according to the possible existence of contact with the ground. To model the vehicle during the overall maneuver a hybrid automaton is used where each state corresponds to a different dynamic behavior exhibited by the UAV. The original takeoff and landing problems are then addressed as a problem of tracking suitable reference signals in order to achieve the desired transitions between different hybrid states of the automaton. Both reference trajectories and feedback control laws are derived to explicitly account for measurement noise and uncertainties, in both the environment and in the vehicle dynamics. Simulation results demonstrate the effectiveness of the proposed solution.
Keywords :
aerospace robotics; automata theory; feedback; mobile robots; position control; remotely operated vehicles; robot dynamics; robust control; feedback control; hybrid automaton; landing control; quadrotor UAV; reference trajectory control; robust control; takeoff control; unmanned aerial vehicle; vehicle dynamics; Automata; Automatic control; Feedback control; Measurement uncertainty; Noise measurement; Robust control; Robustness; Unmanned aerial vehicles; Vehicle dynamics; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1050-4729
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2010.5509430
Filename :
5509430
Link To Document :
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