DocumentCode :
2899399
Title :
A geometric control approach for optimum maneuverability of flapping wing MAVs near hover
Author :
Taha, Haithem E. ; Woolsey, Craig A. ; Hajj, Muhammad R.
Author_Institution :
Eng. Sci. & Mech., Virginia Tech, Blacksburg, VA, USA
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
597
Lastpage :
602
Abstract :
Flapping wing micro-air vehicles are aerial robots that use biomimetic actuation for propulsion and control. Designing such a system requires an integrated system model describing the flight mechanics, propulsion, and control. Relative to conventional aircraft, the resulting model is nonlinear, high-dimensional, time-varying, and underactuated, making analysis and design challenging. Geometric control and averaging theory provide useful analysis tools for biomimetic locomotion systems that use high frequency, time-periodic inputs to generate control forces and moments. Recognizing the essential role of certain Lie bracket and symmetric product vector fields in the flight mechanics of a flapping wing micro-air vehicle, we develop analytical expressions for these vector fields in terms of system parameters. Using these expressions, we then pose and solve a design optimization problem aimed at maximizing vehicle maneuverability. The example illustrates a constructive technique for the design of biomimetic robots and their gaits.
Keywords :
aerospace propulsion; aerospace robotics; biomimetics; force control; microrobots; mobile robots; motion control; optimisation; robot dynamics; time-varying systems; Lie bracket; aerial robot; averaging theory; biomimetic actuation; biomimetic locomotion system; biomimetic robot design; control force generation; control moment generation; flapping wing MAV; flapping wing microair vehicle; flight mechanics; geometric control approach; high frequency time-periodic input; high-dimensional model; hover; integrated system model; nonlinear model; optimization problem; optimum maneuverability; propulsion; robot gait; symmetric product vector field; system design; time-varying model; underactuated model; vehicle maneuverability maximization; System-on-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6579902
Filename :
6579902
Link To Document :
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