ENG  Vol.7 No.10 , October 2015
A Robust Extended Kalman Filter for Speed-Sensorless Control of a Linearized and Decoupled PMSM Drive
Abstract: This paper uses a robust feedback linearization strategy in order to assure a good dynamic performance, stability and a decoupling of the currents for Permanent Magnet Synchronous Motor (PMSM) in a rotating reference frame (d, q). However this control requires the knowledge of certain variables (speed, torque, position) that are difficult to access or its sensors require the additional mounting space, reduce the reliability in harsh environments and increase the cost of motor. And also a stator resistance variation can induce a performance degradation of the system. Thus a sixth-order Discrete-time Extended Kalman Filter approach is proposed for on-line estimation of speed, rotor position, load torque and stator resistance in a PMSM. The interesting simulations results obtained on a PMSM subjected to the load disturbance show very well the effectiveness and good performance of the proposed nonlinear feedback control and Extended Kalman Filter algorithm for the estimation in the presence of parameter variation and measurement noise.
Cite this paper: Tety, P. , Konate, A. , Asseu, O. , Soro, E. , Yoboue, P. and Kouadjo, A. (2015) A Robust Extended Kalman Filter for Speed-Sensorless Control of a Linearized and Decoupled PMSM Drive. Engineering, 7, 691-699. doi: 10.4236/eng.2015.710060.

[1]   Dehkordi, A., Gole, A.M. and Maguire, T.L. (2005) PM Synchronous Machine Model for Real-Time Simulation. International Conference on Power Systems Transients, Montreal, Paper No. IPST05-159.

[2]   Pillay, P. and Krishnan, R. (1988) Modeling of Permanent Magnet Motor Drives. IEEE Transactions on Industrial Electronics, 35, 537-541.

[3]   Li, J. and Li, Y.Z. (2006) Speed Sensorless Nonlinear Control for PM Synchronous Motor Fed by Three-Level Inverter. IEEE International Conference on Industrial Technology, Mumbai, 15-17 December 2006, 446-451.

[4]   Marino, R., Tomei, P. and Verrelli, C.M. (2006) Nonlinear Adaptive Output Feedback Control of Synchronous Motors with Damping Windings. 32nd Annual Conference on IEEE Industrial Electronics, Paris, 6-10 November 2006, 1131- 1136.

[5]   Deng, Z.H. and Nian, X.H. (2015) Robust Control of Permanent Magnet Synchronous Motors. IEEE/CAA Journal of Automatica Sinica, 2, 143-150.

[6]   Bingyou, L. (2009) Research on H infinity Robust Tracking Controller for Permanent Magnet Synchronous Motor Servo System. International Conference on Information Engineering and Computer Science, ICIEC, 1-5

[7]   Zulkifli, S.A. and Ahmad, M.Z. (2011) H∞ Speed Control for Permanent Magnet Synchronous Motor. 2011 International Conference on Electronic Devices, Systems and Applications (ICEDSA), Kuala Lumpur, 25-27 April 2011, 290- 293.

[8]   Kalman, R.E. (1960) A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering, 82, 35-45.

[9]   Gowda, M., Ali, W., Cofie, P. and Fuller, J. (2013) Design and Digital Implementation of Controller for PMSM Using Extended Kalman Filter. Circuits and Systems, 4, 489-497.

[10]   Taibi, D., Titaouine, A., Benchabane, F. and Bennis, O. (2015) Stability Analysis of the Extended Kalman Filter for Permanent Magnet Synchronous Motor. Journal of Applied Engineering Science & Technology (JAEST), 1, 51-60

[11]   Aissa, A. and Mokhtari, B. (2012) Extended Kalman Filter for Speed Sensorless Direct Torque Control of a PMSM Drive Based Stator Resistance Estimator. Journal of Electrical and Control Engineering, 2, 33-39.

[12]   Fateh, B., Titaouine, A., Bennis, O., Guettaf, A., Yahia, K., et al. (2011) Robust Position and Speed Estimation Algorithm for Permanent Magnet Synchronous Drives. European Journal of Scientific Research, 57, 6-14.

[13]   Cheol, M., Hyun Nam, K., Jung, M., Chae, C. and Kwon, Y. (2012) Sensorless Speed Control of Permanent Magnet Synchronous Motor Using Unscented Kalman Filter. Proceedings of SICE Annual Conference (SICE), 2018-2023.

[14]   Doyle, J.C., Francis, B.A. and Tannenbaum, A.R. (1992) Feedback Control Theory. Maxwell MacMillan International, New York, 240 p.

[15]   Lewis, F. (1992) Applied Optimal Control Estimation-Digital Design and Implementation. Prentice Hall, New York, 448 p.

[16]   De Fornel, B. and Louis, J.P. (2007) Identification and Observation of the Electric Actuators. Hermes, Paris, 250 p.

[17]   Leite, V.T., Araujo, R.M. and Freitas, D.R. (2003) A New Online Identification Methodology for Flux and Parameters Estimation of Vector Controlled Induction Motors. IEEE International Electric Machines and Drives Conference, IEMDC'03, 1, 449-455.

[18]   Asseu, O., Yeo, Z., Koffi, M., Ori, T.R., Loum, G.L., Zoueu, T.J. and Tanoh, A. (2009) Reduced-Order Sliding Mode Flux Observer and Nonlinear Control of an Induction Motor. Trends in Applied Sciences Research, 4, 14-24.