Preprints
https://doi.org/10.5194/wes-2025-205
https://doi.org/10.5194/wes-2025-205
17 Oct 2025
 | 17 Oct 2025
Status: this preprint is currently under review for the journal WES.

Translational Dynamics of Bridled Kites: A Reduced-Order Model in the Course Reference Frame

Oriol Cayon, Vince van Deursen, and Roland Schmehl

Abstract. The design and control of airborne wind energy systems requires fast, validated reduced-order models. Because aerodynamic identification of soft, bridled kites is challenging, models that minimise the number of parameters to be identified can be particularly valuable. This paper presents a reduced-order model for the translational dynamics of bridled kites, consisting of a wing supported by multiple bridle lines. The kite is modelled as a point mass in a spherical reference frame aligned with the instantaneous tangential flight direction, referred to as the course reference frame. The angle of attack follows geometrically from a constant angle between the wing chord and the bridle line system, under the assumption that the wing instantaneously aligns with the pull direction, i.e., the rotational dynamics are neglected. The formulation retains gravitational and inertial terms introduced by the curvilinear reference frame and applies a quasi-steady condition of zero path-aligned acceleration, modelling the motion as a sequence of quasi-steady (trimmed) states that relate the trim speed and angle of attack. Model validation is based on public flight datasets from two different soft-wing kites and on dynamic simulations that cover higher wing loadings. Results show that for low wing loadings typical of soft kites, the quasi-steady approximation reproduces the dynamic trajectories with less than 1 % deviation in mean reel-out power. For higher loadings and hard-wing kites, inertia introduces substantial phase lag and amplitude damping, causing power deviations of up to 14 %. Overall, the proposed model provides a computationally efficient framework for analysing the translational dynamics of bridled kites. The formulation is well-suited to trajectory optimisation, parametric studies, and control design in airborne wind energy systems.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Wind Energy Science. R.S. is a co-founder of and advisor for the start-up company Kitepower B.V., which is commercially developing a 100 kW kite power system and provided their test data used in this paper for validation. Both authors were financially supported by the European Union’s MERIDIONAL project, which also provided funding for Kitepower B.V..

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Oriol Cayon, Vince van Deursen, and Roland Schmehl

Status: open (until 14 Nov 2025)

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Oriol Cayon, Vince van Deursen, and Roland Schmehl

Data sets

Kite power flight data acquired on 8 October 2019 M. Schelbergen et al. https://doi.org/10.4121/19376174.V1

Oriol Cayon, Vince van Deursen, and Roland Schmehl

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Short summary
Kites can generate renewable energy by flying crosswind, but their motion is difficult to describe accurately and efficiently. This study develops a simplified model that captures how kites move through the air using a reduced number of parameters. The model was validated with flight data and provides a clearer understanding of kite motion, supporting the design of improved control strategies and energy generation.
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