Characteristic Model-Based Active Disturb Rejection Control of Wind Power System with Maximum Power

Aiming at the problems of uncertainty, multiple disturbances and low efficiency in the permanent magnet synchronous wind power generation system, a composite controller combining the cascaded linear extended state observer and full coefficient adaptive control is proposed based on the optimal blade tip speed ratio. First, based on the method of feature modeling, the uncertainty of the system is compressed into the feature parameters, and the feature parameters are identified in real time to design the full coefficient adaptive control law. Secondly, the total disturbance is estimated and compensated by cascading state observers to improve the tracking accuracy of the system. Finally, through comparative tests, the system achieves maximum wind energy utilization with high control accuracy and response speed by real-time estimation of perturbations generated by wind speed.