A Dual Kalman Filter to Identify Parameters of a Permanent Magnet Synchronous Motor

The paper deals with a Dual Kalman Filter (DKF) to estimate parameters Ld and Lq, direct and quadrature induc-tances of a Permanent Magnet Synchronous Motor (PMSM). Using the model of the system, reference parameters are considered as a virtual measured system. In this way, the estimation of the parameters can be separated by the estimation of the states. The resulting Kalman Filter (KF) for the estimation of the parameters is a linear one characterized by the identity dynamical matrix. Simulation results show the effectiveness of the method.

[1]  Paolo Mercorelli,et al.  A Two-Stage Augmented Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines , 2012, IEEE Transactions on Industrial Electronics.

[2]  Paolo Mercorelli,et al.  Combining an Internal SMC with an External MTPA Control Loop for an Interior PMSM , 2018, 2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR).

[3]  M. Trlep,et al.  Evaluation of saturation and cross-magnetization effects in interior permanent magnet synchronous motor , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[4]  Wang Jun,et al.  Rotor Position Estimation of Sensorless PMSM Based on Extented Kalman Filter , 2018, 2018 IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA).

[5]  Paolo Mercorelli.  A switching observer for sensorless control of an electromagnetic valve actuator for camless internal combustion engines , 2011, IEEE Conference on Decision and Control and European Control Conference.

[6]  K.J. Tseng,et al.  Nonlinear control of interior permanent magnet synchronous motor , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[7]  Paolo Mercorelli,et al.  A Two-Stage Sliding-Mode High-Gain Observer to Reduce Uncertainties and Disturbances Effects for Sensorless Control in Automotive Applications , 2015, IEEE Transactions on Industrial Electronics.

[8]  Paolo Mercorelli,et al.  Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve , 2009 .

[9]  Paolo Mercorelli,et al.  Combining SMC and MTPA Using an EKF to Estimate Parameters and States of an Interior PMSM , 2019, 2019 20th International Carpathian Control Conference (ICCC).

[10]  Paolo Mercorelli.  A sensorless control using a sliding-mode observer for an electromagnetic valve actuator in automotive applications , 2012 .

[11]  P. Vas,et al.  Cross-Saturation in Smooth-Air-Gap Electrical Machines , 1986, IEEE Transactions on Energy Conversion.

[12]  P. Mercorelli.  A Hysteresis Hybrid Extended Kalman Filter as an Observer for Sensorless Valve Control in Camless Internal Combustion Engines , 2012, IEEE Transactions on Industry Applications.

[13]  Paolo Mercorelli,et al.  Dual Kalman Filters Analysis for Interior Permanent Magnet Synchronous Motors , 2020, KKA.