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Nonlinear MPC of kites under varying wind conditions for a new class of large-scale wind power generators. (English) Zbl 1131.93333
Summary: We investigate nonlinear model predictive control (NMPC) for control of power generating kites under changing wind conditions. We derive a realistic nonlinear model for a kite and compute energy optimal loops for different wind speeds. We formulate the optimal control problem used by NMPC with an adaptive periodic reference orbit. Under changing wind conditions we use the corresponding energy optimal orbit as reference. To assure that the references do not unnecessarily depend on the wind conditions, we added extra constraints. We solve this NMPC problem numerically with the real-time iteration scheme using direct multiple shooting. Finally, we present numerical simulations which show how this approach can handle even large disturbances of the wind direction and speed with negligible energy losses.

MSC:
93B51 Design techniques (robust design, computer-aided design, etc.)
49N90 Applications of optimal control and differential games
93C95 Application models in control theory
93B40 Computational methods in systems theory (MSC2010)
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