Articles | Volume 9, issue 12
https://doi.org/10.5194/wes-9-2261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-2261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Measurement of the turning behaviour of tethered membrane wings using automated flight manoeuvres
Christoph Elfert
Methods for Product Development and Mechatronics, Technische Universität Berlin, 10623 Berlin, Germany
Dietmar Göhlich
Methods for Product Development and Mechatronics, Technische Universität Berlin, 10623 Berlin, Germany
Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, the Netherlands
Related authors
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Oriol Cayon, Simon Watson, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-182, https://doi.org/10.5194/wes-2024-182, 2025
Preprint under review for WES
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This study demonstrates how kites used to generate wind energy can act as sensors to measure wind conditions and system behaviour. By combining data from existing sensors, such as those measuring position, speed, and forces on the tether, a sensor fusion technique accurately estimates wind conditions and kite performance. This approach can be integrated into control systems to help optimise energy generation and enhance the reliability of these systems in changing wind conditions.
Dylan Eijkelhof, Nicola Rossi, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-139, https://doi.org/10.5194/wes-2024-139, 2024
Preprint under review for WES
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This study compares circular and figure-of-eight flight shapes for flying kite wind energy systems, assessing power output, stability, and system lifespan. Results show that circular patterns are ideal for maximizing energy in compact areas, while figure-of-eight paths, especially flying up in the centre of the figure, deliver smoother, more consistent power and have a longer expected kite lifespan. These findings offer valuable insights to enhance design and performance of kite systems.
Rishikesh Joshi, Dominic von Terzi, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-161, https://doi.org/10.5194/wes-2024-161, 2024
Preprint under review for WES
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This paper presents a methodology for system design of airborne wind energy (AWE). A multi-disciplinary design, analysis, and optimization (MDAO) framework was developed, integrating power, energy production, and cost models for fixed-wing ground-generation (GG) AWE systems. Using the levelized cost of electricity (LCoE) as the design objective, we found that the optimal size of systems lies between the rated power of 100 kW and 1000 kW.
Rishikesh Joshi, Roland Schmehl, and Michiel Kruijff
Wind Energ. Sci., 9, 2195–2215, https://doi.org/10.5194/wes-9-2195-2024, https://doi.org/10.5194/wes-9-2195-2024, 2024
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This paper presents a fast cycle–power computation model for fixed-wing ground-generation airborne wind energy systems. It is suitable for sensitivity and scalability studies, which makes it a valuable tool for design and innovation trade-offs. It is also suitable for integration with cost models and systems engineering tools, enhancing its applicability in assessing the potential of airborne wind energy in the broader energy system.
Helena Schmidt, Renatto M. Yupa-Villanueva, Daniele Ragni, Roberto Merino-Martínez, Piet van Gool, and Roland Schmehl
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-125, https://doi.org/10.5194/wes-2024-125, 2024
Revised manuscript under review for WES
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This study investigates noise annoyance caused by airborne wind energy systems (AWESs), a novel wind energy technology that uses kites to harness high-altitude winds. Through a listening experiment with 75 participants, sharpness was identified as the key factor predicting annoyance. Fixed-wing kites generated more annoyance than soft-wing kites, likely due to their sharper, more tonal sound. The findings can help improve AWESs’ designs, reducing noise-related disturbances for nearby residents.
Mark Schelbergen and Roland Schmehl
Wind Energ. Sci., 9, 1323–1344, https://doi.org/10.5194/wes-9-1323-2024, https://doi.org/10.5194/wes-9-1323-2024, 2024
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We present a novel two-point model of a kite with a suspended control unit to describe the characteristic swinging motion of this assembly during turning manoeuvres. Quasi-steady and dynamic model variants are combined with a discretised tether model, and simulation results are compared with measurement data of an instrumented kite system. By resolving the pitch of the kite, the model allows for computing the angle of attack, which is essential for estimating the generated aerodynamic forces.
Maaike Sickler, Bart Ummels, Michiel Zaaijer, Roland Schmehl, and Katherine Dykes
Wind Energ. Sci., 8, 1225–1233, https://doi.org/10.5194/wes-8-1225-2023, https://doi.org/10.5194/wes-8-1225-2023, 2023
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This paper investigates the effect of wind farm layout on the performance of offshore wind farms. A regular farm layout is compared to optimised irregular layouts. The irregular layouts have higher annual energy production, and the power production is less sensitive to wind direction. However, turbine towers require thicker walls to counteract increased fatigue due to increased turbulence levels in the farm. The study shows that layout optimisation can be used to maintain high-yield performance.
Mark Schelbergen, Peter C. Kalverla, Roland Schmehl, and Simon J. Watson
Wind Energ. Sci., 5, 1097–1120, https://doi.org/10.5194/wes-5-1097-2020, https://doi.org/10.5194/wes-5-1097-2020, 2020
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We have presented a methodology for including multiple wind profile shapes in a wind resource description that are identified using a data-driven approach. These shapes go beyond the height range for which conventional wind profile relationships are developed. Moreover, they include non-monotonic shapes such as low-level jets. We demonstrated this methodology for an on- and offshore reference location using DOWA data and efficiently estimated the annual energy production of a pumping AWE system.
Jan Hummel, Dietmar Göhlich, and Roland Schmehl
Wind Energ. Sci., 4, 41–55, https://doi.org/10.5194/wes-4-41-2019, https://doi.org/10.5194/wes-4-41-2019, 2019
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We describe a tow test setup for the reproducible measurement of aerodynamic, structural dynamic and flight dynamic properties of tethered membrane wings. The test procedure is based on repeatable automated maneuvers with the entire kite system under realistic conditions. The developed measurement method can be used to quantitatively compare different wing designs, to validate and improve simulation models, and to systematically improve kite designs.
Johannes Oehler and Roland Schmehl
Wind Energ. Sci., 4, 1–21, https://doi.org/10.5194/wes-4-1-2019, https://doi.org/10.5194/wes-4-1-2019, 2019
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We present an experimental method for aerodynamic characterization of flexible membrane kites by in situ measurement of the relative flow, while performing complex flight maneuvers. We find that the aerodynamics of this type of wing depend not only on the angle of attack, but also on the level of aerodynamic loading and the aeroelastic deformation. We recommend using the relative power setting of the kite as a secondary influencing parameter.
Tarek N. Dief, Uwe Fechner, Roland Schmehl, Shigeo Yoshida, Amr M. M. Ismaiel, and Amr M. Halawa
Wind Energ. Sci., 3, 275–291, https://doi.org/10.5194/wes-3-275-2018, https://doi.org/10.5194/wes-3-275-2018, 2018
Related subject area
Thematic area: Wind technologies | Topic: Airborne technology
Power curve modelling and scaling of fixed-wing ground-generation airborne wind energy systems
Swinging motion of a kite with suspended control unit flying turning manoeuvres
Dynamic analysis of the tensegrity structure of a rotary airborne wind energy machine
Wake characteristics of a balloon wind turbine and aerodynamic analysis of its balloon using a large eddy simulation and actuator disk model
Refining the airborne wind energy system power equations with a vortex wake model
Impact of wind profiles on ground-generation airborne wind energy system performance
Flight trajectory optimization of Fly-Gen airborne wind energy systems through a harmonic balance method
Scaling effects of fixed-wing ground-generation airborne wind energy systems
Parameter analysis of a multi-element airfoil for application to airborne wind energy
Rishikesh Joshi, Roland Schmehl, and Michiel Kruijff
Wind Energ. Sci., 9, 2195–2215, https://doi.org/10.5194/wes-9-2195-2024, https://doi.org/10.5194/wes-9-2195-2024, 2024
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This paper presents a fast cycle–power computation model for fixed-wing ground-generation airborne wind energy systems. It is suitable for sensitivity and scalability studies, which makes it a valuable tool for design and innovation trade-offs. It is also suitable for integration with cost models and systems engineering tools, enhancing its applicability in assessing the potential of airborne wind energy in the broader energy system.
Mark Schelbergen and Roland Schmehl
Wind Energ. Sci., 9, 1323–1344, https://doi.org/10.5194/wes-9-1323-2024, https://doi.org/10.5194/wes-9-1323-2024, 2024
Short summary
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We present a novel two-point model of a kite with a suspended control unit to describe the characteristic swinging motion of this assembly during turning manoeuvres. Quasi-steady and dynamic model variants are combined with a discretised tether model, and simulation results are compared with measurement data of an instrumented kite system. By resolving the pitch of the kite, the model allows for computing the angle of attack, which is essential for estimating the generated aerodynamic forces.
Gonzalo Sánchez-Arriaga, Álvaro Cerrillo-Vacas, Daniel Unterweger, and Christof Beaupoil
Wind Energ. Sci., 9, 1273–1287, https://doi.org/10.5194/wes-9-1273-2024, https://doi.org/10.5194/wes-9-1273-2024, 2024
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Rotary airborne wind energy (RAWE) machines transform wind energy into electric energy by transmitting the mechanical torque produced on a rotor to a generator on the ground by using its own structure, which is a spinning helix. Having a good understanding of the behavior of the helix is crucial in the design of RAWE machines. This work presents a theoretical model to simulate the helix’s dynamics and experimental tests to characterize it.
Aref Ehteshami and Mostafa Varmazyar
Wind Energ. Sci., 8, 1771–1793, https://doi.org/10.5194/wes-8-1771-2023, https://doi.org/10.5194/wes-8-1771-2023, 2023
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In this paper, we numerically studied the wake characteristics and aerodynamics of a balloon wind turbine, an airborne system operating at altitudes of about 400–1000 m. The system can benefit from a stronger and steady wind flow at these altitudes. Results contribute to the wake structure and the magnitude of aerodynamic loads on the balloon in varying wind conditions at high altitudes. Findings are valuable in designing future optimized wind farms and control systems for balloon wind turbines.
Filippo Trevisi, Carlo E. D. Riboldi, and Alessandro Croce
Wind Energ. Sci., 8, 1639–1650, https://doi.org/10.5194/wes-8-1639-2023, https://doi.org/10.5194/wes-8-1639-2023, 2023
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The power equations of crosswind Ground-Gen and Fly-Gen airborne wind energy systems (AWESs) are refined to include the contribution from the aerodynamic wake. A novel power coefficient is defined by normalizing the aerodynamic power with the wind power passing through a disk with a radius equal to the AWES wingspan, allowing us to compare systems with different wingspans. Ground-Gen and Fly-Gen AWESs are compared in terms of their aerodynamic power potential.
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 8, 1153–1178, https://doi.org/10.5194/wes-8-1153-2023, https://doi.org/10.5194/wes-8-1153-2023, 2023
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This study investigates the performance of pumping-mode ground-generation airborne wind energy systems by determining power-optimal flight trajectories based on realistic, k-means clustered, vertical wind velocity profiles. These profiles, derived from mesoscale weather simulations at an offshore and an onshore site in Europe, are incorporated into an optimal control model that maximizes average cycle power by optimizing the kite's trajectory.
Filippo Trevisi, Iván Castro-Fernández, Gregorio Pasquinelli, Carlo Emanuele Dionigi Riboldi, and Alessandro Croce
Wind Energ. Sci., 7, 2039–2058, https://doi.org/10.5194/wes-7-2039-2022, https://doi.org/10.5194/wes-7-2039-2022, 2022
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The optimal control problem for the flight trajectories of Fly-Gen AWESs is expressed with a novel methodology in the frequency domain through a harmonic balance formulation. The solution gives the optimal trajectory and the optimal control inputs. Optimal trajectories have a circular shape squashed along the vertical direction, and the optimal control inputs can be modeled with only one or two harmonics. Analytical approximations for optimal trajectory characteristics are also given.
Markus Sommerfeld, Martin Dörenkämper, Jochem De Schutter, and Curran Crawford
Wind Energ. Sci., 7, 1847–1868, https://doi.org/10.5194/wes-7-1847-2022, https://doi.org/10.5194/wes-7-1847-2022, 2022
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This research explores the ground-generation airborne wind energy system (AWES) design space and investigates scaling effects by varying design parameters such as aircraft wing size, aerodynamic efficiency and mass. Therefore, representative simulated onshore and offshore wind data are implemented into an AWES trajectory optimization model. We estimate optimal annual energy production and capacity factors as well as a minimal operational lift-to-weight ratio.
Gianluca De Fezza and Sarah Barber
Wind Energ. Sci., 7, 1627–1640, https://doi.org/10.5194/wes-7-1627-2022, https://doi.org/10.5194/wes-7-1627-2022, 2022
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As part of a master's thesis, this study analysed the aerodynamic performance of a multi-element airfoil using numerical flow simulations. The results show that these types of airfoil are very suitable for an upcoming wind energy generation concept. The parametric study of the wing led to a significant improvement of up to 46.6 % compared to the baseline design. The increased power output of the energy generation concept contributes substantially to today's energy transition.
Cited articles
Baayen, J. H.: Trajectory tracking control of kites with system delay, arXiv [preprint], arXiv:1212.6388, https://doi.org/10.48550/arXiv.1212.6388, 2012. a
Bechtle, P., Schelbergen, M., Schmehl, R., Zillmann, U., and Watson, S.: Airborne Wind Energy Resource Analysis, Renew. Energy, 141, 1103–1116, https://doi.org/10.1016/j.renene.2019.03.118, 2019. a
Borobia, R., Sanchez-Arriaga, G., Serino, A., and Schmehl, R.: Flight Path Reconstruction and Flight Test of Four-line Power Kites, J. Guidance Control Dynam., 41, 2604–2614, https://doi.org/10.2514/1.G003581, 2018. a
Borobia-Moreno, R., Ramiro-Rebollo, D., Schmehl, R., and Sánchez-Arriaga, G.: Identification of kite aerodynamic characteristics using the estimation before modeling technique, Wind Energy, 24, 596–608, https://doi.org/10.1002/we.2591, 2021. a
Bosch, A., Schmehl, R., Tiso, P., and Rixen, D.: Dynamic nonlinear aeroelastic model of a kite for power generation, J. Guidance Control Dynam., 37, 1426–1436, https://doi.org/10.2514/1.G000545, 2014. a
Cadalen, B., Griffon, F., Lanusse, P., Sabatier, J., and Parlier, Y.: Modelling and Control of a Tethered Kite In Dynamic Flight, J. Sail. Technol., 3, 1–24, https://doi.org/10.5957/jst.2018.03, 2018. a
Castelino, R. V., Kashyap, Y., and Kosmopoulos, P.: Airborne Kite Tether Force Estimation and Experimental Validation Using Analytical and Machine Learning Models for Coastal Regions, Remote Sens., 14, 6111, https://doi.org/10.3390/rs14236111, 2022. a
Costello, S., Costello, C., François, G., and Bonvin, D.: Analysis of the maximum efficiency of kite-power systems, J. Renew. Sustain. Energ., 7, 053108, https://doi.org/10.1063/1.4931111, 2015. a
Costello, S., Francois, G., and Bonvin, D.: Real-Time Optimizing Control of an Experimental Crosswind Power Kite, IEEE T. Control Syst. Technol., 26, 507–522, https://doi.org/10.1109/TCST.2017.2672404, 2018. a, b
de Groot, S. G. C., Breukels, J., Schmehl, R., and Ockels, W. J.: Modeling Kite Flight Dynamics Using a Multibody Reduction Approach, J. Guidance Control Dynam., 34, 1671–1682, https://doi.org/10.2514/1.52686, 2011. a
de Wachter, A.: Deformation and Aerodynamic Performance of a Ram-Air Wing, MSc thesis, Delft University of Technology, http://resolver.tudelft.nl/uuid:786e3395-4590-4755-829f-51283a8df3d2 (last access: 14 July 2024), 2008. a
Digi: XBee/XBee-PRO S2C Zigbee: RF Module, http://www.digi.com/resources/documentation/digidocs/pdfs/90002002.pdf (last access: 4 May 2020), 2020. a
Duotone Kiteboarding: Project TETA, https://www.youtube.com/watch?v=GZQU5rJFgJU (last access: 7 December 2023), 2019. a
Erhard, M. and Strauch, H.: Control of Towing Kites for Seagoing Vessels, IEEE T. Control Syst. Technol., 21, 1629–1640, https://doi.org/10.1109/TCST.2012.2221093, 2012. a, b
Erhard, M. and Strauch, H.: Sensors and navigation algorithms for flight control of tethered kites, in: IEEE 2013 European Control Conference, 17–19 July 2013, Piscataway, NJ, 998–1003, https://doi.org/10.23919/ECC.2013.6669219, 2013a. a, b, c
Erhard, M. and Strauch, H.: Theory and Experimental Validation of a Simple Comprehensible Model of Tethered Kite Dynamics Used for Controller Design, in: Airborne Wind Energy, chap. 8, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Green Energy and Technology, Springer, Berlin, Heidelberg, 141–165, https://doi.org/10.1007/978-3-642-39965-7_8, 2013b. a, b, c
Fagiano, L., Zgraggen, A. U., Khammash, M., and Morari, M.: Automatic control of tethered wings for airborne wind energy: Design and experimental results, in: IEEE 2013 European Control Conference (ECC), 17–19 July 2013, Piscataway, NJ, 992–997, https://doi.org/10.23919/ECC.2013.6669174, 2013a. a
Fagiano, L., Zgraggen, A. U., Khammash, M., and Morari, M.: On control of tethered wings for airborne wind energy, in: 2013 American Control Conference, 7–19 June 2013, Washington, D.C., USA, 1430–1435, https://doi.org/10.1109/ACC.2013.6580037, 2013b. a
Fagiano, L., Zgraggen, A. U., and Morari, M.: On Modeling, Filtering and Automatic Control of Flexible Tethered Wings for Airborne Wind Energy, in: Airborne Wind Energy, Green Energy and Technology, chap. 9, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 167–180, https://doi.org/10.1007/978-3-642-39965-7_9, 2013c. a
Fagiano, L., Quack, M., Bauer, F., Carnel, L., and Oland, E.: Autonomous Airborne Wind Energy Systems: Accomplishments and Challenges, Annu. Rev. Control Robot. Autonom. Syst., 5, 603–631, https://doi.org/10.1146/annurev-control-042820-124658, 2022. a
Fechner, U. and Schmehl, R.: Flight Path Planning in a Turbulent Wind Environment, in: Airborne Wind Energy – Advances in Technology Development and Research, Green Energy and Technology, chap. 15, edited by: Schmehl, R., Springer, Singapore, 361–390, https://doi.org/10.1007/978-981-10-1947-0_15, 2018. a, b, c
Freter, J. H., Seel, T., Elfert, C., and Göhlich, D.: Motion Estimation for Tethered Airfoils with Tether Sag, in: 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 14–16 September 2020, Karlsruhe, Germany, 114–120, https://doi.org/10.1109/MFI49285.2020.9235235, 2020. a, b
Gellert, W., Gottwald, S., Hellwich, M., Kästner, H., and Küstner, H. (Eds.): Spherical trigonometry, in: The VNR Concise Encyclopedia of Mathematics, Springer Netherlands, Dordrecht, 261–282, https://doi.org/10.1007/978-94-011-6982-0_13, 1975. a
Hummel, J.: Automatisierte Vermessung und Charakterisierung der dynamischen Eigenschaften seilgebundener, vollflexibler Tragflächen, Dissertation, Technische Universität Berlin, Berlin, https://doi.org/10.14279/depositonce-5863, 2017. a, b
Hummel, J., Göhlich, D., and Schmehl, R.: Automatic measurement and characterization of the dynamic properties of tethered membrane wings, Wind Energ. Sci., 4, 41–55, https://doi.org/10.5194/wes-4-41-2019, 2019. a, b, c, d
InvenSense: MPU-9250 Product Specification: Revision 1.1, https://invensense.tdk.com/wp-content/uploads/2015/02/PS-MPU-9250A-01-v1.1.pdf (last access: 2 May 2020), 2020. a
IRENA: Offshore Renewables: An Action Agenda for Deployment, Tech. rep., International Renewable Energy Agency, Abu Dhabi, https://www.irena.org/publications/2021/Jul/Offshore-Renewables-An-Action-Agenda-for-Deployment (last access: 14 July 2024), 2021. a
Jehle, C. and Schmehl, R.: Applied Tracking Control for Kite Power Systems, J. Guidance Control Dynam., 37, 1211–1222, https://doi.org/10.2514/1.62380, 2014. a, b, c
Kite Magazin: Projekt TETA: Die Kite-Entwicklung der Zukunft?, https://www.kitemagazin.de/2019/11/19/projekt-teta/ (last access: 7 December 2023), 2019. a
Kleidon, A.: Physical limits of wind energy within the atmosphere and its use as renewable energy: From the theoretical basis to practical implications, Meteorol. Z., 30, 203–225, https://doi.org/10.1127/metz/2021/1062, 2021. a
Lange, C.: Erweiterung und Verbesserung der Simulation des Kiteschirms sowie der Regelung zur automatisierten Steuerung von Kiteschirmen, MSc thesis, Technische Universität Berlin, Zenodo, https://doi.org/10.5281/zenodo.12726565, 2018. a, b, c
Mediatek: MT3339: Overview, https://www.mediatek.com/press-room/mediatek-announces-its-latest-gps-solution-supporting-qzss (last access: 27 November 2024), 2024. a
Nelson, V.: Innovative Wind Turbines: An Illustrated Guidebook, CRC Press, Boca Raton, FL, https://doi.org/10.1201/9781003010883, 2019. a
NXP: MPL3115A2: I2C precision pressure sensor with altimetry, https://www.nxp.com/docs/en/data-sheet/MPL3115A2.pdf (last access: 4 May 2020), 2020. a
Oehler, J. and Schmehl, R.: Aerodynamic Characterization of a Soft Kite by in Situ Flow Measurement, Wind Energ. Sci., 4, 1–21, https://doi.org/10.5194/wes-4-1-2019, 2019. a, b, c, d
Oehler, J., van Reijen, M., and Schmehl, R.: Experimental investigation of soft kite performance during turning maneuvers, J. Phys.: Conf. Ser., 1037, 052004, https://doi.org/10.1088/1742-6596/1037/5/052004, 2018. a, b, c, d
Paulig, X., Bungart, M., and Specht, B.: Conceptual Design of Textile Kites Considering Overall System Performance, in: Airborne Wind Energy, Green Energy and Technology, chap. 32, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 547–562, https://doi.org/10.1007/978-3-642-39965-7_32, 2013. a
PJRC: Teensy Technical Specifications, https://www.pjrc.com/teensy/techspecs.html (last access: 4 May 2020), 2020. a
Rementeria Zalduegui, A.: Wind Tunnel Parametric Study of Kite Performance for Power Generation, MS thesis, Cranfield University, http://hdl.handle.net/10810/36715 (last access: 14 July 2024), 2019. a
Rontsis, N., Costello, S., Lymperopoulos, I., and Jones, C. N.: Improved path following for kites with input delay compensation, in: IEEE 2015 54th IEEE Conference on Decision and Control (CDC), 15–18 December 2015, Piscataway, NJ, 656–663, https://doi.org/10.1109/CDC.2015.7402304, 2015. a
Roullier, A.: Experimental analysis of a kite system’s dynamics, MS thesis, Ecole Polytechnique Fédérale de Lausanne, Zenodo, https://doi.org/10.5281/zenodo.7752407, 2020. a
Rushdi, M., Dief, T., Yoshida, S., and Schmehl, R.: Towing Test Data Set of the Kyushu University Kite System, Data, 5, 69, https://doi.org/10.3390/data5030069, 2020a. a
Rushdi, M., Rushdi, A., Dief, T., Halawa, A., Yoshida, S., and Schmehl, R.: Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning, Energies, 13, 2367, https://doi.org/10.3390/en13092367, 2020b. a
Schelbergen, M. and Schmehl, R.: Swinging Motion of a Kite with Suspended Control Unit Flying Turning Manoeuvres, Wind Energ. Sci., 9, 1323–1344, https://doi.org/10.5194/wes-9-1323-2024, 2024. a
Schmehl, R., Noom, M., and van der Vlugt, R.: Traction Power Generation with Tethered Wings, in: Airborne Wind Energy, Green Energy and Technology, chap. 2, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 23–45, https://doi.org/10.1007/978-3-642-39965-7_2, 2013. a
Seel, T. and Ruppin, S.: Eliminating the Effect of Magnetic Disturbances on the Inclination Estimates of Inertial Sensors, IFAC-PapersOnLine, 50, 8798–8803, https://doi.org/10.1016/j.ifacol.2017.08.1534, 2017. a
The Kiteboarder: Projekt TETA, https://www.thekiteboarder.com/2019/06/13/project-teta/ (last access: 7 December 2023), 2019. a
van der Vlugt, R., Peschel, J., and Schmehl, R.: Design and Experimental Characterization of a Pumping Kite Power System, in: Airborne Wind Energy, Green Energy and Technology, chap. 23, edited by: Ahrens, U., Diehl, M., and Schmehl, R., Springer, Berlin, Heidelberg, 403–425, https://doi.org/10.1007/978-3-642-39965-7_23, 2013. a
Vermillion, C., Cobb, M., Fagiano, L., Leuthold, R., Diehl, M., Smith, R. S., Wood, T. A., Rapp, S., Schmehl, R., Olinger, D., and Demetriou, M.: Electricity in the Air: Insights From Two Decades of Advanced Control Research and Experimental Flight Testing of Airborne Wind Energy Systems, Annu. Rev. Control, 52, 330–357, https://doi.org/10.1016/j.arcontrol.2021.03.002, 2021. a
Wood, T. A., Hesse, H., Zgraggen, A. U., and Smith, R. S.: Model-based Identification and Control of the Velocity Vector Orientation for Autonomous Kites, in: Proceedings of the 2015 American Control Conference, 1–3 July 2015, Chicago, IL, USA, https://doi.org/10.1109/ACC.2015.7171088, 2015. a
Short summary
This article presents a tow test procedure for measuring the steering behaviour of tethered membrane wings. The experimental set-up includes a novel onboard sensor system for measuring the position and orientation of the towed wing, complemented by an attached low-cost multi-hole probe for measuring the relative flow velocity vector at the wing. The measured data (steering gain and dead time) can be used to improve kite models and simulate the operation of airborne wind energy systems.
This article presents a tow test procedure for measuring the steering behaviour of tethered...
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