DocumentCode :
2613797
Title :
Optimal control of an Aerial Robot
Author :
Zarafshan, Payam ; Moosavian, S. Bamdad ; Moosavian, S. Ali A ; Bahrami, Mohsen
Author_Institution :
Dept. of Mech. Eng., K. N. Toosi Univ. of Technol., Tehran
fYear :
2008
fDate :
2-5 July 2008
Firstpage :
1284
Lastpage :
1289
Abstract :
In this paper, the design procedure of a proposed optimal controller for an aerial robot or unmanned aerial vehicle (UAV) is studied to perform a specific manoeuvre. The manoeuvre is defined as speeding on the runway, taking off, cruising, turning back to the airport, landing and braking on the runway. Then, a realistic dynamic model for this vehicle is presented by considering perturbation technique in the two sets of equations. Thereafter appropriate controllers are designed by means of optimal control approach. Then, the two sets of longitudinal and lateral equations are simulated simultaneously and the considered UAV is studied as a 6 DOF system for performing mentioned manoeuvre. In this study, a comprehensive simulation routine has been developed and optimal control approach based on non-linear dynamics model is used to evaluate and estimate performance of designed controller on a real UAV system. Fuel consumption rate and weighted state variable errors are computed for path tracking problem, and the obtained results are compared and discussed. It can be concluded that an increase in the total manoeuvre time, may result in considerable deviation of the followed path and also variations in the weighted state error values.
Keywords :
aerospace robotics; control system synthesis; nonlinear dynamical systems; optimal control; path planning; perturbation techniques; remotely operated vehicles; space vehicles; DOF system; aerial robot; fuel consumption; lateral equations; longitudinal equations; nonlinear dynamics model; optimal controller; path tracking problem; perturbation technique; realistic dynamic model; unmanned aerial vehicle; weighted state variable errors; Airports; Computational modeling; Nonlinear dynamical systems; Nonlinear equations; Optimal control; Perturbation methods; Robots; Turning; Unmanned aerial vehicles; Vehicle dynamics; Aerial Robots; Dynamics Modeling; Optimal Control; Unmanned Aerial Vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4244-2494-8
Electronic_ISBN :
978-1-4244-2495-5
Type :
conf
DOI :
10.1109/AIM.2008.4601847
Filename :
4601847
Link To Document :
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