Title: Decoupling control for bearingless synchronous reluctance motor based on support vector machine inverse

Authors: Zebin Yang; Xiaodong Sun; Huangqiu Zhu

Addresses: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China ' School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China; Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China ' School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

Abstract: A novel decoupling control method based on least squares support vector machine inverse (LS-SVM) is presented for a bearingless synchronous reluctance motor (BSRM) possessing the characteristics of multi-input-multi-output, nonlinearity, and strong coupling. Based on the analysis of operation principle, the dynamic mathematical models are built, which are verified to be invertible using interactor algorithm. The nonlinear inverse model is then obtained offline using LS-SVM for its ability of function fitting. The LS-SVM inverse is connected in series with original system to decouple the BSRM system to three single-input-single-output pseudo linear systems. To further compensate the modelling error to improve robust performance, the PID feedback controller is designed, which together with inverse feedforward controller gives a composite control strategy. The simulation and experimental results show that the presented LS-SVM inverse control strategy can realise the dynamic decoupling of bearingless synchronous reluctance motors. And the control system has fine dynamic and static performance.

Keywords: bearingless synchronous reluctance motors; BSRM; mathematical modelling; least squares SVM; support vector machines; decoupling control; nonlinear models; inverse models; PID feedback control; controller design; inverse feedforward control; simulation.

DOI: 10.1504/IJMIC.2015.067712

International Journal of Modelling, Identification and Control, 2015 Vol.23 No.1, pp.24 - 32

Published online: 31 Mar 2015 *

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