Identification of Limit Cycle Dynamics with Linear Periodic Models for Airborne Wind Energy Applications
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2021-09
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Master Thesis
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Abstract
Limit cycle oscillations are phenomena of nonlinear dynamical systems characterized by a periodic, locally-stable and self-sustained state trajectory of the system. While these phenomena naturally emerge in many applications, systems controlled in closed-loop along a periodic trajectory can also be considered as limit cycles. In this work, local dynamics around the limit cycle are subjected to a coordinate transformation via transversal surfaces and modelled as a periodic system with respect to the location on the limit cycle. A linear periodically parameter-varying model is identified from trajectory data using basis function decomposition or kernel methods Identification method is tested on examples of simple benchmark nonlinear systems as well as simulation and experiment data from airborne wind energy applications.
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published
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ETH Zurich, Automatic Control Laboratory
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System identification, Limit cycles, Linear parameter-varying models, Airborne wind energy systems
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08814 - Smith, Roy (Tit.-Prof.) (ehemalig) / Smith, Roy (Tit.-Prof.) (former)
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