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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Modeling and nonlinear model predictive control of kite system for high altitude wind energy generation

Zhao, Zhenhua and Yang, Jun and Yue, Hong and Li, Shihua (2014) Modeling and nonlinear model predictive control of kite system for high altitude wind energy generation. In: Chinese Control Conference, CCC. IEEE, pp. 6998-7003. ISBN 9789881563842

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Abstract

Kitenergy is an emerging technology in airborne wind energy (AWE) that captures high altitude wind energy (HAWE) by exploiting its controlled flight of tethered wings. Compared with its ground level counterparts, AWE has the advantages to harness wind energy with a higher efficiency and a more consistent behavior. Automatic control of the kite's airfoils is crucial to the proper running of kitenergy systems. In this paper, a control oriented model of a tethered kite system is developed step by step, and a simplified state-space model is established as a first attempt. Based on this model, a nonlinear model predictive controller (NMPC) is designed to track a pre-optimized figure-eight trajectory. The merits of the NMPC are validated by simulation studies on a practical-scale kitenergy system model.