Model-based identification and control of the velocity vector orientation for autonomous kites
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Author / Producer
Date
2015
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
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Abstract
In this paper we address a control problem for an autonomous tethered kite system for the purpose of airborne wind energy generation. In particular, we design a tracking controller for the velocity vector orientation of the kite. Motivated by empirical data we model the kite steering behaviour as a delayed dynamical system and explicitly utilise the derived model information for the controller design. We identify the involved parameters from experimental data. To adapt to changes in operating conditions we update the parameter estimation on-line. We present results of the derived approach successfully tested in real-world flight experiments.
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Publication status
published
External links
Editor
Book title
2015 American Control Conference (ACC)
Journal / series
Volume
3
Pages / Article No.
2377 - 2382
Publisher
IEEE
Event
2015 American Control Conference (ACC 2015)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
08814 - Smith, Roy (Tit.-Prof.) (ehemalig) / Smith, Roy (Tit.-Prof.) (former)
Notes
Funding
141836 - Autonomous Airborne Wind Energy (A2WE) (SNF)