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

In this paper, the principle of a bearingless synchronous reluctance motor (BSRM) is expatiated and its mathematical formula is established, then the decoupling control method of the multivariable based on least squares support vector machines (LS-SVM) is put forward, and inverse system of the bearingless synchronous reluctance motor is constructed by adopting LS-SVM to achieve the decoupling of electromagnetic torque and suspension radial force. The gained LS-SVM inverse models are in series before the original system to decouple a complex nonlinear multivariable system into 3 relatively independent single input single output (SISO) pseudo-linear sub-systems. At the same time, close compound linear controllers are designed, and the digital simulation experiment has been carried out by Matlab software. The theory research and simulation experiment have validated that decoupling control in the transient case can be achieved successfully adopting the LS-SVM strategy, good performance of dynamic and static state of system can be also obtained.