Decentralized Robust Nonlinear Model Predictive Control for UAS: Nonlinear and Robust Control Applied to Aircraft - Tapa blanda

Garcia, Gonzalo

9783659554056: Decentralized Robust Nonlinear Model Predictive Control for UAS: Nonlinear and Robust Control Applied to Aircraft

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ISBN 10: 3659554057 ISBN 13: 9783659554056

Editorial: LAP LAMBERT Academic Publishing, 2014

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The nonlinear and unsteady nature of aircraft aerodynamics and limited range of controls and states make the use of linear control theory inadequate. For unmanned aerial systems in particular, control technology must evolve to a point where autonomy is extended to the entire mission flight envelope. This requires advanced controllers that have sufficient robustness, track complex trajectories, and use all the vehicle's control capabilities at higher levels of accuracy. In this work, a robust nonlinear model predictive controller is designed to command and control an unmanned aerial system to track complex tight trajectories in the presence of perturbances. The flight control system developed achieves the above performance by using a nonlinear guidance algorithm that enables the vehicle to follow an arbitrary trajectory; a formulation that embeds the guidance logic and trajectory information in the aircraft model, avoiding cross coupling; an artificial neural network, designed to adaptively estimate aerodynamic and propulsive forces; a mixed sensitivity approach that enhances the robustness for an adaptive nonlinear model predictive controller.

Biograf�a del autor

He received in 1994 his BS from the Chilean Naval Polytechnic Academy, in 2006 a MS from Federico Santa Maria University, both in electronic engineering, and his PhD in aerospace engineering from the University of Kansas, in 2013. He is a postdoc at the University of Kansas, working in nonlinear robust control for autonomous vehicles.

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EditorialLAP LAMBERT Academic Publishing
A�o de publicaci�n2014
ISBN 10 3659554057
ISBN 13 9783659554056
Encuadernaci�nTapa blanda
IdiomaIngl�s
N�mero de p�ginas168

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Decentralized Robust Nonlinear Model Predictive Control for UAS

Gonzalo Garcia

Publicado por LAP LAMBERT Academic Publishing Jun 2014, 2014

ISBN 10: 3659554057 ISBN 13: 9783659554056

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The nonlinear and unsteady nature of aircraft aerodynamics and limited range of controls and states make the use of linear control theory inadequate. For unmanned aerial systems in particular, control technology must evolve to a point where autonomy is extended to the entire mission flight envelope. This requires advanced controllers that have sufficient robustness, track complex trajectories, and use all the vehicle's control capabilities at higher levels of accuracy. In this work, a robust nonlinear model predictive controller is designed to command and control an unmanned aerial system to track complex tight trajectories in the presence of perturbances. The flight control system developed achieves the above performance by using a nonlinear guidance algorithm that enables the vehicle to follow an arbitrary trajectory; a formulation that embeds the guidance logic and trajectory information in the aircraft model, avoiding cross coupling; an artificial neural network, designed to adaptively estimate aerodynamic and propulsive forces; a mixed sensitivity approach that enhances the robustness for an adaptive nonlinear model predictive controller. 168 pp. Englisch. N� de ref. del art�culo: 9783659554056

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Decentralized Robust Nonlinear Model Predictive Control for UAS : Nonlinear and Robust Control Applied to Aircraft

Gonzalo Garcia

Publicado por LAP LAMBERT Academic Publishing, 2014

ISBN 10: 3659554057 ISBN 13: 9783659554056

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Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The nonlinear and unsteady nature of aircraft aerodynamics and limited range of controls and states make the use of linear control theory inadequate. For unmanned aerial systems in particular, control technology must evolve to a point where autonomy is extended to the entire mission flight envelope. This requires advanced controllers that have sufficient robustness, track complex trajectories, and use all the vehicle's control capabilities at higher levels of accuracy. In this work, a robust nonlinear model predictive controller is designed to command and control an unmanned aerial system to track complex tight trajectories in the presence of perturbances. The flight control system developed achieves the above performance by using a nonlinear guidance algorithm that enables the vehicle to follow an arbitrary trajectory; a formulation that embeds the guidance logic and trajectory information in the aircraft model, avoiding cross coupling; an artificial neural network, designed to adaptively estimate aerodynamic and propulsive forces; a mixed sensitivity approach that enhances the robustness for an adaptive nonlinear model predictive controller. N� de ref. del art�culo: 9783659554056

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Decentralized Robust Nonlinear Model Predictive Control for UAS

Gonzalo Garcia

Publicado por LAP LAMBERT Academic Publishing, 2014

ISBN 10: 3659554057 ISBN 13: 9783659554056

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Garcia GonzaloHe received in 1994 his BS from the Chilean Naval Polytechnic Academy, in 2006 a MS from Federico Santa Maria University, both in electronic engineering, and his PhD in aerospace engineering from the University of Kansa. N� de ref. del art�culo: 5164451

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