Dief, T.N.; Fechner, U.; Schmehl, R.; Yoshida, S.; Rushdi, M.A. Adaptive Flight Path Control of Airborne Wind Energy Systems. Energies2020, 13, 667.
Dief, T.N.; Fechner, U.; Schmehl, R.; Yoshida, S.; Rushdi, M.A. Adaptive Flight Path Control of Airborne Wind Energy Systems. Energies 2020, 13, 667.
This paper presents a comparison between a kite model with a constant-length tether and a model based on a system identification algorithm. The concept of system identification is applied to predict the uncertainties related to the variation of the wind speed and the shape deformation of the tethered membrane wing during flight. A pole-placement controller is used to ensure that the kite follows the planned flight path. Thus, we can determine the required locations of the closed loop poles, and then enforce them by changing the controller's gains in real-time. The capability of the system identification algorithm to recognize sudden changes in the dynamic model, and the ability of the controller to stabilize the system in the presence of such changes are confirmed. Furthermore, the system identification algorithm is applied to determine the parameters of a kite with variable-length tether used in a flight test of the 20 kW kite power system of TU Delft. Experimental data of this test were compared with the system identification results in real-time and significant changes were observed in the parameters of the dynamic model which heavily affect the resulting response.
airborne wind energy; kite system; system identification; adaptive algorithms; pole placement
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