Modeling and Decoupling Control for Rotor System in Magnetic Levitation Wind Turbine

• Main Authors: Yanjun Yu, Xiaodong Sun, Weiyu Zhang
• Format: Article
• Language: English
• Published: IEEE 2017-01-01
• Series: IEEE Access
• Subjects: Wind turbine; decoupling control; neural network generalized inversion; model reference adaptive control; magnetic levitation generator; magnetic bearing
• Online Access: https://ieeexplore.ieee.org/document/7994596/

This study proposes an accurate mathematical model and a novel decoupling scheme for developing a 5-degrees-of-freedom rotor system of a wind turbine with high robustness, fast response and good-tracking properties. The proposed scheme incorporates neural network generalized inverse (NNGI) control and five model reference adaptive (MRA) controllers. The decoupled open-loop generalized pseudo-linear system can be established by placing the NNGI system in front of the original system. The MRA controllers are utilized to design a closed-loop controller to improve the robustness and anti-disturbance ability of the entire rigid rotor system. The effectiveness of the proposed control scheme is demonstrated via simulation and experimental results for various operations.