This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Parameter Identification of PMSM for EPS Based on an Improved MRAS Method
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 01, 2014 by SAE International in United States
Annotation ability available
Whether high-precision torque control or motor condition monitoring need accurate motor parameters. For the three parameters of surface-mounted permanent magnet synchronous motor (SPMSM), the voltage equation is rank-deficient. To solve this problem, some scholars proposed methods that build full rank equations with signal injection, but this will produce motor torque ripple, which is not suitable for application to the EPS. Therefore, this paper proposes a method based on MRAS to identify motor parameters step by step. The proposed two steps identification method can make the reference model full rank in every step, but the total decoupling between parameters identification processes cannot be realized for the assumption that the prior step result is the real value. It was found in experiment that this effect varies with the motor operating conditions. Therefore, this paper analyzes the sensitivity of the motor parameters and proposes a method to improve the accuracy of identification results by changing the weight of identification results according to the operating conditions. The performance of the proposed method was verified through experiment, and the accuracy of the estimated results is improved without interfering with the normal operation of the motor.
CitationZhang, H., Zhang, J., and Guo, K., "Parameter Identification of PMSM for EPS Based on an Improved MRAS Method," SAE Technical Paper 2014-01-0271, 2014, https://doi.org/10.4271/2014-01-0271.
- Khov, M., Regnier, J., Faucher, J., “Detection of Turn Short-Circuit Faults in Stator of PMSM by On-Line Parameter Estimation of PMSM by On-Line Parameter Estimation,” SPEEDAM, 2008, doi:10.1109/SPEEDHAM.2008.4581092.
- Zentai, A., Daboczi, T., “Offline Parameter Estimation of Permanent Magnet Sychronous Machines by means of LS Optimization,” IEEE/SICE International Symposium on System Integration, 2008, doi:10.1109/SI.2008.4770423.
- Romeo, Ortega, Laurent, Praly, et al. “Estimation of Rotor Position and Speed of Permanent Magnet Synchronous Motors With Guaranteed Stability,” IEEE Transaction on Control System Technology. 19(3):601-614,2010, doi:10.1109/TCST.2010.2047396.
- Underwood, S.J., Husain, I., “Online Parameter Estimation and Adaptive Control of Permanent-Magnet Synchronous Machines,” IEEE Transactions on Industrial Electronics, 57(7):2435-2443,2010, doi:10.1109/TIE.2009.2036029.
- Salvatore, L., Stasi, S., “Application of EKF to parameter and state estimation of pmsm drive,” IEE PROCEEDINGS-B,139(3) :155∼164, MAY1992.
- Liu L., Cartes, D.A., “Synchronisation based adaptive parameter identification for permanent magnet synchronous motors,” IET Control Theory and Applications, 1(4):1015-1022, 2007, doi:10.1049/iet-cta:20060065.
- Sebastian, Ebersberger, Bernhard, Piepenbreier, “Identification of Differential Inductances of Permanent Magnet Synchronous Machines Using Test Current Signal Injection,” SPEEDAM, 2012, doi:10.1109/SPEEDAM.2012.6264392.
- Ramakrishnan, R., Islam, R., Islam, M., Sebastian, T., “Real time estimation of parameters for controlling and monitoring permanent magnet synchronous motors,” IEEE International Electric Machines and Drives Conf., Miami, Florida,2009, doi:10.1109/IEMDC.2009.5075355.
- Kan, Liu, Qiao, Zhang, et al. “Online Multiparameter Estimation of Nonsalient-Pole PM Synchronous Machines With Temperature Variation Tracking,” IEEE Transactions on Industrial Electronics, 58(5): 1776-1788, May, 2011, doi:10.1109/TIE.2010.2054055.
- Landau, Y.D., “Adaptive Control:The Model Reference Approach,” Marcel Dekker Inc., NewYork, 1979.