关键词: 特征模型, 跟踪微分器, 主动磁轴承, 自适应控制

Abstract: In order to improve the robustness of AMB systems in the face of noise interference and external shocks, an adaptive control method was proposed based on characteristic model and tracking differentiator. The characteristic model parameters of AMB systems were identified online through the input and output data of the control system, and the golden section adaptive controller was designed based on the identified characteristic model. The range of characteristic parameters of AMB systems was derived, the projection gradient method with nonlinear saturation function was used to identify the parameters of the systems, and the tracking differentiator was used to track and filter the measurement data of the control system, which further improved the robustness of AMB systems in the face of noise interference. The proposed control method was tested on the test platform of high-speed magnetic levitation motor. The experimental results show that the tracking differentiator may effectively filter out the interference of external noises on the measured data. Compared with the commonly used incomplete differential PID control method, the proposed adaptive control method may effectively improve the control accuracy and robustness of AMB systems, and the vibration peak values of the magnetic suspension rotor are reduced by 51.4%. 

Key words: characteristic model, tracking differentiator, active magnetic bearing(AMB), adaptive control