高空风力发电机组预测函数控制研究

风筝发电机组是一种新型风力发电技术.采用yo-yo结构对风筝的动态进行建模,通过作用在两风筝线上的拉力控制风筝的飞行.风筝的一个发电周期可分为发电状态和电动状态,要求在发电阶段发电量最大、在电动阶段耗电量最小,每一个阶段的控制器设计均可归结为一个约束优化问题.为解决非线性实时优化的困难,采用预测函数控制原理设计风筝发电机组的最大发电控制器,具体分析了风筝发电机组一个发电周期各阶段的控制目标,给出了闭环控制系统的实现方案.仿真结果验证了控制策略的正确性和有效性,可以满足对控制算法速度的要求.

Predictive functional control of kite generators for high altitude wind power

The kite generator is a new kind of wind power generation.The controller of kite generators is presented based on predictive functional control(PFC).The yo-yo structure is studied to model the dynamics of a kite,which can be controlled by suitably pulling two lines.Energy is generated by a cycle composed of two phases,indicated as generation and motor.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 suggests that the PFC algorithm can meet the speed requirement for computation.