Control of Airborne Wind Energy systems based on Nonlinear Model Predictive Control amp; Moving Horizon Estimation

Gros, S. and Zanon, Mario and Diehl, M. Control of Airborne Wind Energy systems based on Nonlinear Model Predictive Control amp; Moving Horizon Estimation. In: European Control Conference (ECC), July 17-19, 2013, Zurich, Switzerland pp. 1017-1022. ISBN 978-3-033-03962-9. (2013)

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Abstract

Among the several problems arising in the Airborne Wind Energy paradigm, an essential one is the control of the tethered airfoil trajectory during power generation. Tethered flight is a fast, strongly nonlinear, unstable and constrained process, motivating control approaches based on fast Non-linear Model Predictive Control. In this paper, a computationally efficient model is proposed, based on Differential-Algebraic equations. A control scheme based on Nonlinear Model Predictive Control (NMPC) and an estimator based on Moving Horizon Estimation (MHE) is proposed to handle the wind turbulences. In order to make a real-time application of Non-linear Model Predictive Control possible, a Real-Time Iteration scheme is proposed

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	aerospace control;atmospheric turbulence;differential algebraic equations;infinite horizon;nonlinear control systems;power generation control;predictive control;stability;trajectory control;wind;wind power;MHE;NMPC;airborne wind energy system control;control approach;differential-algebraic equation;fast strongly nonlinear unstable constrained process;moving horizon estimation;nonlinear model predictive control;power generation;real-time iteration scheme;tethered airfoil trajectory control;tethered flight;wind turbulence handling;Computational modeling;Estimation;Power generation;Process control;Real-time systems;Trajectory;Vectors;Optimal Control;Real-time iteration;fast NMPC & MHE;flight control;trajectory tracking
Subjects:	T Technology > T Technology (General)
Research Area:	Computer Science and Applications
Depositing User:	Mario Zanon
Date Deposited:	12 Mar 2018 09:04
Last Modified:	12 Mar 2018 09:04
URI:	http://eprints.imtlucca.it/id/eprint/4045

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