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dc.contributor.authorSubba Reddiar Pappu, Venkatasubramani
dc.contributor.authorSteck, James E.
dc.contributor.authorShanmugham, Viswanathan
dc.contributor.authorRamamurthi, Guruganesh
dc.date.accessioned2015-03-20T18:42:29Z
dc.date.available2015-03-20T18:42:29Z
dc.date.issued2014-06-04
dc.identifier.citationPappu, V.S.R.; Steck, J.E.; Shanmugham, V.; Ramamurthi, G., "Modified State Observer based adaptive control law design for the Black Kite MAV," American Control Conference (ACC), 2014 , vol., no., pp.32,37, 4-6 June 2014en_US
dc.identifier.isbn978-1-4799-3274-0
dc.identifier.issn0743-1619
dc.identifier.otherWOS:000346492600006
dc.identifier.urihttp://dx.doi.org/10.1109/ACC.2014.6858881
dc.identifier.urihttp://hdl.handle.net/10057/11150
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThis paper presents the design and simulation of a Modified State Observer (MSO) based adaptive control law, developed by Balakrishnan, for a Micro Aerial Vehicle (MAY). The MSO allows higher adaptive gains than other adaptive control laws. The simulation is carried out using the aerodynamic derivatives of the Black Kite 300 mm wing span MAV developed by CSIR-NAL Bangalore. The controller is tested in simulation for its ability to adapt to modeling errors for the highly responsive MAV. At present, the study is limited to the longitudinal dynamics of the vehicle. Simulation results are presented that show the controller's ability to respond to altitude and airspeed commands with elevator and engine failures in the presence of parameter uncertainties. The MSO adaptation along with the nonlinear dynamic inversion controller developed using the mathematical model of the MAV, enables the pilot to control the vehicle with a lower workload.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesAmerican Control Conference (ACC), 2014;
dc.subjectAerospaceen_US
dc.subjectDirect adaptive controlen_US
dc.subjectFlight controlen_US
dc.titleModified State Observer based adaptive control law design for the Black Kite MAVen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2015 IEEE - All rights reserved.


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    Research publications authored by the Department of Aerospace Engineering faculty and graduate students.

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