Self-correcting composite active disturbance rejection control of maximum power model for wind turbines
1. College of Electrical, Energy and Power Engineering, Yangzhou University, Yangzhou, Jiangsu 225127, China； 2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211100, China； 3. School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China
Abstract：To improve the maximum power tracking efficiency of permanent magnet synchronous wind generator under variable working conditions, a model selfcorrecting composite active disturbance rejection control (MSCADRC) based on the optimal blade tip speed ratio method was designed to track the motor speed in real time. An extended state observer (ESO), which could switch freely between linear and nonlinear, was used for realtime observation and estimation of the total disturbance caused by parameter perturbation or other uncertainties.
A realtime predictive inertia observer of torque and moment was used to compensate the influence of parameter disturbance in the controller on ADRC. In the current loop ADRC control,
qaxis current compensation factor was added to eliminate the interference of daxis current, and the feedback compensation control method based on electromagnetic torque observer was adopted to realize the realtime compensation of qaxis current for accelerating the system response speed. The mathematical model of wind speed, wind machine and permanent magnet synchronous generator was used to design the wind power model selfcorrecting maximum power tracking system, and the Matlab/Simulink was used for simulation analysis. The simulation results show that the model MSCADRC has superiority. The wind power system under selfcorrecting model can perform better on power tracking control when wind speed changes sharply, and the system response speed and antiexternal interference ability can be further improved.
莫岳平， 徐迪， 史宏俊， 朱其新. 风力发电机最大功率模型自校正复合自抗扰控制[J]. 江苏大学学报（自然科学版）, 2023, 44(3): 337-343.
MO Yueping， XU Di, SHI Hongjun, ZHU Qixin. Self-correcting composite active disturbance rejection control of maximum power model for wind turbines[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2023, 44(3): 337-343.
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