Maximum Power Point Tracking Control Using Combined Predictive Controller For A Wind Energy Conversion System With Permanent Magnet Synchronous Generator

Due to the complex working conditions and various sources of disturbance, the conventional control method can hardly meet the high requirements for performance. In order to achieve the goal of maximum power tracking, this paper propose a combined model predictive control (MPG) strategy consisting of inertia identification and model predictive control. Firstly, partial unknown models of the object can he obtained through inertia identification, and then the model will be optimized through correcting the feedback with the model prediction controller. The simulation shows that the composite predictive control strategy has advantages of effective power output, well system stability and anti-disturbance ability.