Decoupling control of bearingless induction motor with least
squares support vector machine inverse
1.School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2.Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, Jiangsu 212013, China
Abstract： In order to achieve nonlinear dynamic decoupling control of radial suspension force, speed and flux linkage, a decoupling control strategy was proposed based on least squares support vector machine inverse of bearingless induction motor. According to the reversibility analysis of original system, the inverse model of the bearingless induction motor was approximated by the least squares support vector machine and connected with the original system to construct pseudolinear system. The pseudolinear system was equivalent to two independent linear displacement subsystems of rotor speed subsystem and magnetic flux linkage subsystem. To further improve the performance of whole control system, the closedloop controller was designed for the pseudolinear system. Decoupling control performance of the proposed method was simulated by Matlab. The simulation results show that the nonlinear decoupling control of the system is realized successfully with good robustness and dynamic and static performances, and the defects of conventional inverse system method with excessive depending on exact system model are overcome.
2013, Vol. 34 
