Phase current estimation of planar switched reluctance motors using least squares support vector machines

Abstract

As one kind of direct-drive planar motors, planar switched reluctance motors (PSRMs) have wide application prospects in high-precision motions of modern industry, due to the advantages of high precision, quick response, low cost and simple construction, etc. In order to achieve the precise motions of PSRMs, inverse force functions play an important role to obtain the precise phase currents for PSRMs. In this paper, a new inverse force function by least squares support vector machines (LS-SVMs) is proposed to obtain the precise phase currents of PSRMs. Construction and mathematical model of PSRMs are illustrated. LS-SVMs for regression are clarified, followed with a LS-SVMs for PSRMs is developed to estimate the phase currents by the training sample obtained from the finite element analysis. By the built LS-SVMs, experimental results are presented and analyzed to verify the validity of the proposed LS-SVMs for phase current estimation of PSRMs.