Inductance Estimation of PMSM Using Extended Kalman Filter-Reference-Cited by-同舟云学术

Inductance Estimation of PMSM Using Extended Kalman Filter

Published:2023-03-30 Issue:1 Volume:11 Page:138-142
ISSN:2347-470X
Container-title:International Journal of Electrical and Electronics Research
language:en
Short-container-title:IJEER

Author:

Naikawadi Komal¹^ORCID,Patil Sudhir Madhav²^ORCID,Kalantri Kapil³^ORCID,Dhanvijay Maneetkumar R.²^ORCID,Karanjkar Atul V.⁴^ORCID

Affiliation:

1. PG Student (M.Tech. Mechatronics), Department of Manufacturing Engineering and Industrial Management, College of Engineering Pune (COEP), Shivaji Nagar, Pune: 411005, Maharashtra State, INDIA

2. Associate Professor, Department of Manufacturing Engineering and Industrial Management, College of Engineering Pune (COEP), Shivaji Nagar, Pune: 411005, Maharashtra State, INDIA

3. Head, Design and Development, HELLA eMobionics, Hella India Automotive Pvt. Ltd., Baner, Pune: 411045, Maharashtra State, INDIA

4. Associate Professor, Department of Mechanical & Mechatronics Engineering (Additive Manufacturing), ZSCT's Thakur College of Engineering and Technology, Kandivali (E), Mumbai: 400101, Maharashtra State, INDIA

Abstract

Estimation of parameters of Permanent Magnet Synchronous Motor (PMSM) plays an important role for motor controller tuning in Electric Vehicle (EV) application. Under running condition motor parameters vary due to different effects such as temperature, saturation and Voltage Source Inverter (VSI) non-linearities. Identification of parameters in running condition increases the control performance of system. This paper uses Extended Kalman Filter (EKF), which allows estimation of d-q axis inductances of PMSM. The control algorithm considered here is Field Oriented Control (FOC) for EV system having position sensor. The simulation is performed using MATLAB- Simulink software. The simulation results show that EKF identifies the d- and q- axis inductances Ld, Lq considering measurement and process noise using a state space model of motor equations for implementation.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

Reference24 articles.

1. Shahapure S. B., Kulkarni (Deodhar) V. A., and Shinde S. M. A technology review of energy storage systems, battery charging methods and market analysis of EV based on electric drives. International Journal of Electrical and Electronics Research (IJEER). 10(1), (March 2022), 23-35. https://doi.org/10.37391/IJEER.100104.

2. Liu H., Gao Z., Wu W., Chow L. and Wu T. 2015. Design of a high-efficiency permanent magnet synchronous motor and inverter system. In Proceedings of the 41st Annual Conference of the IEEE Industrial Electronics Society (IECON 2015), 004996-005001, IEEE. https://doi.org/10.1109/IECON.2015.7392884.

3. Lee, C-H., Shin, H-S., and Kim, K-C. Analysis of interior permanent magnet synchronous motor according to winding method. International Journal of Electrical and Electronics Research (IJEER). 10(2), (June 2022), 207-213. https://doi.org/10.37391/IJEER.100227.

4. Kulkarni, S., and Thosar, A. Performance analysis of fault tolerant operation of PMSM using direct torque control and fuzzy logic control. International Journal of Electrical and Electronics Research (IJEER).10(2), (June 2022), 297-307. https://doi.org/10.37391/ijeer.100240.

5. Park, S. H., Lee, E. C., Park, J. C., Hwang, S. W., and Lim, M. S. Prediction of mechanical loss for high-power-density PMSM considering eddy current loss of PMs and conductors. IEEE Transactions on Magnetics. 57(2), Art No. 6300205, (Feb. 2021), 1-5. https://doi.org/10.1109/TMAG.2020.3007439.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Position Estimation Method of a Permanent Magnet Synchronous Motor Based on Moving Horizon Estimation EKF algorithm;2024 IEEE International Magnetic Conference - Short papers (INTERMAG Short papers);2024-05-05

2. Identification of Parameters and States in PMSMs;Electronics;2023-06-11