Adaptive inverse control for levitation system of bearingless induction motors based on nonlinear filters
SUN Yu-xin
YANG Yu-wei
Abstract：The adaptive inverse decoupling control based on nonlinear adaptive filter for levitation system of bearingless induction motor (BIM) is investigated. Nonlinear adaptive filters are used to build the model and the inverse model of the system. Based on the inverse model, the adaptive inverse controller which is cascaded in front of levitation system is designed by using the improved least mean square (LMS) algorithm to adjust the weighting factors online. Compared with the traditional control method, the flux information is not needed to be transferred with the torque control system. As a result, the mutual restriction between torque windings and levitation windings is avoided. Finally, we demonstrate the effectiveness of our proposed method with simulations. This method realizes not only the establishment of the system model and the inverse model, but also the decoupling control of levitation forces of two degrees of freedom.
Keywords：bearingless induction motorlevitation systemdecoupling controladaptive filtersmodelingadaptive inverse control
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 304-310 )