Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2013.2760.2766YangZebin WangMingtao SunXiaodong ZhuHuangqiu 1220131314In order to achieve the online detection problem of rotor
speed for Bearingless Induction Motor (BIM), a speed identification scheme based
on the Least Square Support Vector Machine (LSSVM) inverse is presented in this
study. According to the inherent relationship among the variables of BIM, the
speed subsystem is first built and proved to be invertible. Secondly, the inverse
model was constructed using LSSVM which has good function approximation characteristics.
And then the obtained inverse model is combined with this subsystem, which well
realized the real-time rotation speed identification. Finally, a vector control
simulation platform of BIM is established to evaluate the proposed method. The
simulation results demonstrates the proposed LSSVM inverse method can accurately
identify the speed parameter in a full speed operation region with good dynamic
and static performance.]]>Bartholet, M.T., T. Nussbaumer and J.W. Kolar,20115819211925Rodriguez, E.F. and J.A. Santisteban,20115834013408Sun, X.D. and H.Q. Zhu,2010254349Chiba, A., T. Fukao, O. Ichikawa, M. Oshima, M. Takemoto and D.G. Dorrell,2005Pages: 400Pages: 400Chiba, A. and J. Asama,20124846464649Schuhmann, T., W. Hofmann and R. Werner,201259821829Fang, J., S. Zheng and B. Han,201261338348Chiba, A. and J.A. Santisteban,201248124131Wang, L.P., H.G. Zhang and X.C. Liu,201229199204Chen, Z., M. Tomita, S. Doki and S. Okuma,200350288295Schauder, C.,19922810541061Gadoue, S.M., D. Giaouris and J.W. Finch,201025394402Cirrincione, M. and M. Pucci,20054118431854Shi, K.L., T.F. Chan, Y.K. Wong and S.L. Ho,200249124133Salvatore, N., A. Caponio, F. Neri, S. Stasi and G.L. Cascella,201057385394Kim, S.K. and J.K. Seok,20114716241631Huang, Y.H., Y.K. Sun, B. Wang, X.G. Zhu and C.G. Xia,201031862865Zhang, S.N., F.N. Wang, D.K. He and J. Runda,20103120812087