Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
https://doi.org/10.5194/wes-2017-26
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research articles
29 Jun 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Wind Energy Science (WES).
System Identification, Fuzzy Control, and Simulation Results for Fixed Length Tether of Kite Power System
Tarek N. Dief1, Uwe Fechner2, Roland Schmehl3, Shigeo Yoshida4, Amr M. M. Ismaiel1,5, and Amr M. Halawa1 1Department of Earth System Science and Technology, Kyushu University, Fukuoka, Japan
2Aenarete – Wind Drones, The Hague, The Netherlands
3Delft University of Technology, 2629 HS Delft, The Netherlands
4Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan, Japan
5Faculty of Engineering and Technology, Future University in Egypt (FUE), Egypt
Abstract. Upon the research community in wind energy, airborne wind energy systems would be one of the promising energy sources in the near future. They can extract more energy from the high altitude wind currents compared to the conventional wind turbines. This could be achieved with the aid of the aerodynamic lift generated by a wing tethered to the ground. Significant savings in the investment costs and overall system mass would be obtained since no tower is required. In order to solve the problems of wind speed uncertainty and kite deflections throughout the flight, system identification is needed to be applied. Consequently, the kite governing equations could be accurately described. In this work, a simple model was presented for a tether with fixed length and compared to another model for parameter estimation. In addition, for the purpose of stabilizing the system, fuzzy control was also applied. The design of the controller was based on the concept of Mamdani. Due to its robustness, fuzzy control can cover different wind conditions more than the classical controller. Finally, system identification was compared to the simple model at various wind speeds which helps to tune the parameters of fuzzy control.

Citation: Dief, T. N., Fechner, U., Schmehl, R., Yoshida, S., Ismaiel, A. M. M., and Halawa, A. M.: System Identification, Fuzzy Control, and Simulation Results for Fixed Length Tether of Kite Power System, Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2017-26, in review, 2017.
Tarek N. Dief et al.
Tarek N. Dief et al.
Tarek N. Dief et al.

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