Dynamic decoupling control of 5-degree-of-freedom bearingless induction motor
CHEN Lin;YANG Zebin;CHEN Zheng;LI Fangli;SUN Xiaodong;Shool of Electrical and Information Engineering,Jiangsu University;Automotive Engineering Research Institute,Jiangsu University;
In order to realize high precision dynamic decoupling control of the 5-degree-of-freedom bearingless induction motor(BIM),a decoupling control method based on least square support vector machine inverse(LSSVMI) is proposed. Firstly,the mathematical model of 5-degree-of-freedom BIM is established and the reversibility of the model is analyzed. Then,the inverse model was identified using LSSVM which has a good fitting capability to high dimensional nonlinear functions with limited samples,and the particle swarm optimization algorithm is used to optimize the parameters of LSSVM,so as to improve the fitting and prediction accuracy of the inverse model. The LSSVM is connected with the original system to get the pseudo linear system. The PID closed loop controller is designed to control the 5-degree-of-freedom BIM,and the nonlinear dynamic decoupling of radial displacement,axial displacement,rotational speed and flux linkage is realized. Simulation results verify the effectiveness of the proposed control strategy.