Modeling, Identification, Estimation and Adaptation for the Control of Power-Generating Kites
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Author / Producer
Date
2018-07
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
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Data
Abstract
Large-scale kites, flying high-force crosswind trajectories, have been proposed for wind power generation. A two phase operational cycle generates net positive power using a ground-based motor/generator. In the traction phase the kite flies a high-force trajectory while reeling out the generator-connected tethers. A low-force retraction phase reels in the tethers and returns the kite to the start of the cycle. Highly variable conditions and significant uncertainty in the dynamics pose challenges to autonomous, well-controlled flight. The control task is divided into trajectory generation and tracking components and the most uncertain parameters in the model are identified online. The control structure uses these parameters in a robust framework resulting in an experimentally verified adaptive control scheme.
Permanent link
Publication status
published
External links
Editor
Book title
18th IFAC Symposium on System Identification, SYSID 2018. Proceedings
Journal / series
Volume
51 (15)
Pages / Article No.
981 - 989
Publisher
Elsevier
Event
18th IFAC Symposium on System Identification (SYSID 2018)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Airborne wind energy; Kite dynamics; Identification; Adaptive control; Estimation
Organisational unit
08814 - Smith, Roy (Tit.-Prof.) (ehemalig) / Smith, Roy (Tit.-Prof.) (former)
Notes
Funding
141836 - Autonomous Airborne Wind Energy (A2WE) (SNF)
642682 - Airborne Wind Energy System Modelling, Control and Optimisation (SBFI)
642682 - Airborne Wind Energy System Modelling, Control and Optimisation (SBFI)