Maximum generation control of kite generator based on predictive functional Control

The controller of kite generators is presented based on predictive functional control (PFC) in this paper. The yo-yo structure is studied to model the dynamic of a kite, which can be controlled by suitably pulling two lines. Energy is generated by a cycle composed of two phases, indicated as the generation and the motor one. In the generation phase the control is designed to maximize the amount of generated energy, and in the motor phase the kite is pulled by the motors spending a minimum fraction of the energy generated in the generation phase. In order to solve the difficulties encountered when traditional model predictive control methods are applied to the above nonlinear constraint optimization problems, the maximum generation controller is designed for kite generators using PFC principles. The implementation of closed loop control system is given, and its correctness and effectiveness are validated by simulation results, which also show that the PFC algorithm can meet the needs for speed of computation.