Decoupling control of bearingless synchronous reluctance motor based on support vector machines inverse system

A bearingless synchronous reluctance motor is a strong coupled complicated system. The decoupling control of electromagnetic torque and suspension radial force is the premise of the stable operation of the bearingless synchronous reluctance motor. In the paper, the control method based on least squares support vector machines(LS-SVM) is put forward to achieve the decoupling of electromagnetic torque and suspension radial force. The traditional method for controlling the flux component as constant is rejected. The LS-SVM inverse system of the bearingless synchronous reluctance motor is constructed. Besides, flux observer and compound linear controllers are designed. The digital simulation experiment has been carried out by Matlab/Simulink software. The simulation results have validated that decoupling control in the variable i_d case can be achieved successfully with the proposed control method, good performance of dynamic and static state of system also can be obtained.