Predictive control of autonomous kites in tow test experiments

Wood, T. A., Hesse, H. and Smith, R. S. (2017) Predictive control of autonomous kites in tow test experiments. IEEE Control Systems Letters, 1(1), pp. 110-115. (doi:10.1109/LCSYS.2017.2708984)

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Abstract

In this letter, we present a model-based control approach for autonomous flight of kites for wind power generation. Predictive models are considered to compensate for delay in the kite dynamics. We apply model predictive control (MPC), with the objective of guiding the kite to follow a figure-of-eight trajectory, in the outer loop of a two level control cascade. The tracking capabilities of the inner-loop controller depend on the operating conditions and are assessed via a frequency domain robustness analysis. We take the limitations of the inner tracking controller into account by encoding them as optimization constraints in the outer MPC. The method is validated on a kite system in tow test experiments.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hesse, Dr Henrik
Authors: Wood, T. A., Hesse, H., and Smith, R. S.
College/School:College of Science and Engineering > School of Engineering > Aerospace Sciences
Journal Name:IEEE Control Systems Letters
Publisher:IEEE
ISSN:2475-1456
ISSN (Online):2475-1456
Published Online:26 May 2017
Copyright Holders:Copyright © 2017 IEEE
First Published:First published in IEEE Control Systems Letters 1(1): 110-115
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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