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CLC number: TM301.2
On-line Access: 2016-08-05
Received: 2015-09-10
Revision Accepted: 2016-02-25
Crosschecked: 2016-07-12
Cited: 0
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Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles
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Bing Tian, Qun-tao An, Li Sun, Dong-yang Sun, Jian-dong Duan. Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(8): 803-813.
@article{title="Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles",
author="Bing Tian, Qun-tao An, Li Sun, Dong-yang Sun, Jian-dong Duan",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="8",
pages="803-813",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500298"
}
%0 Journal Article
%T Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles
%A Bing Tian
%A Qun-tao An
%A Li Sun
%A Dong-yang Sun
%A Jian-dong Duan
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 8
%P 803-813
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500298
TY - JOUR
T1 - Initial position estimation strategy for a surface permanent magnet synchronous motor used in hybrid electric vehicles
A1 - Bing Tian
A1 - Qun-tao An
A1 - Li Sun
A1 - Dong-yang Sun
A1 - Jian-dong Duan
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 8
SP - 803
EP - 813
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1500298
Abstract: A novel nonlinear model for surface permanent magnet synchronous motors (SPMSMs) is adopted to estimate the initial rotor position for hybrid electric vehicles (HEVs). Usually, the accuracy of initial rotor position estimation for SPMSMs relies on magnetic saturation. To verify the saturation effect, the transient finite element analysis (FEA) model is presented first. hybrid injection of a static voltage vector (SVV) superimposed with a high-frequency rotating voltage is proposed. The magnetic polarity is roughly identified with the aid of the saturation evaluation function, based on which an estimation of the position is performed. During this procedure, a special demodulation is suggested to extract signals of iron core saturation and rotor position. A Simulink/MATLAB platform for SPMSMs at standstill is constituted, and the effectiveness of the proposed strategy is verified. The proposed method is also validated by experimental results of an SPMSM drive.
[1]Bolognani, S., Calligaro, S., Petrella, R., 2011. Design issues and estimation errors analysis of back-EMF based position and speed observer for SPM synchronous motors. Symp. on Sensorless Control for Electrical Drives, p.138-145.
[2]El-Serafi, A.M., Wu, J., 1993. Determination of the parameters representing the cross-magnetizing effect in saturated synchronous machines. IEEE Trans. Energy Conv., 8(3):333-342.
[3]Fu, W.N., Ho, S.L., Zhang, Z., 2009. Design of position detection strategy of sensorless permanent magnet motors at standstill using transient finite-element analysis. IEEE Trans. Magn., 45(10):4668-4671.
[4]Gao, W., Meliopoulos, A.P.S., Solodovnik, E.V., et al., 2005. A nonlinear model for studying synchronous machine dynamic behavior in phase coordinates. IEEE Int. Conf. on Industrial Technology, p.1092-1097.
[5]Harke, M.C., de Donato, G., Capponi, F.G., et al., 2008. Implementation issues and performance evaluation of sinusoidal, surface-mounted PM machine drives with Hall-effect position sensors and a vector-tracking observer. IEEE Trans. Ind. Appl., 44(1):161-173.
[6]Li, Y., Zhu, Z.Q., Howe, D., et al., 2007. Modeling of cross-coupling magnetic saturation in signal-injection-based sensorless control of permanent-magnet brushless AC motors. IEEE Trans. Magn., 43(6):2552-2554.
[7]Liang, X.D., El-Serafi, A.M., Faried, S.O., 2010. Application of the finite-element method for the determination of the parameters representing the cross-magnetizing in saturated synchronous machines. IEEE Trans. Energy Conv., 25(1):70-79.
[8]Nakashima, S., Inagaki, Y., Miki, I., 2000. Sensorless initial rotor position estimation of surface permanent-magnet synchronous motor. IEEE Trans. Ind. Appl., 36(6): 1598-1603.
[9]Seilmeier, M., Piepenbreier, B., 2011. Modeling of PMSM with multiple saliencies using a stator-oriented magnetic circuit approach. IEEE Electric Machines & Drives Conf., p.131-136.
[10]Sigmund, D., Lohner, A., Böh, M., et al., 2014. Simulation-based development of an energy-management-system for a drive train of a parallel hybrid electric vehicle. 16th Int. Power Electronics and Motion Control Conf. and Exposition, p.822-827.
[11]Wang, Y., Zhu, J.G., Guo, Y.G., 2010. A comprehensive analytical mathematic model for permanent-magnet synchronous machines incorporating structural and saturation saliencies. IEEE Trans. Magn., 46(12):4081-4091.
[12]Wang, Z., Niu, S.X., Ho, S.L., et al., 2012. A position detection strategy for sensorless surface mounted permanent magnet motors at low speed using transient finite-element analysis. IEEE Trans. Magn., 48(2):1003-1006.
[13]Yan, Y., Zhu, J.G., Guo, Y.G., 2008. Initial rotor position estimation and sensorless direct torque control of surface-mounted permanent magnet synchronous motors considering saturation saliency. IET Electr. Power Appl., 2(1):42-48.
[14]Yang, S.C., 2015. Saliency-based position estimation of permanent-magnet synchronous machines using square-wave voltage injection with a single current sensor. IEEE Trans. Ind. Appl., 51(2):1561-1571.
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