eprintid: 4045
rev_number: 8
eprint_status: archive
userid: 87
dir: disk0/00/00/40/45
datestamp: 2018-03-12 09:04:11
lastmod: 2018-03-12 09:04:11
status_changed: 2018-03-12 09:04:11
type: conference_item
metadata_visibility: show
creators_name: Gros, S.
creators_name: Zanon, Mario
creators_name: Diehl, M.
creators_id: 
creators_id: mario.zanon@imtlucca.it
creators_id: 
title: Control of Airborne Wind Energy systems based on Nonlinear Model Predictive Control amp; Moving Horizon Estimation
ispublished: pub
subjects: T1
divisions: CSA
full_text_status: restricted
pres_type: paper
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
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
date: 2013-07
date_type: published
publisher: IEEE
pagerange: 1017-1022
event_title: European Control Conference (ECC)
event_location: Zurich, Switzerland
event_dates: July 17-19, 2013
event_type: conference
refereed: TRUE
isbn: 978-3-033-03962-9
book_title: European Control Conference (ECC), 2013
official_url: http://ieeexplore.ieee.org/document/6669713/
citation:   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)  
document_url: http://eprints.imtlucca.it/4045/1/06669713.pdf