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

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.