Publication

Hyun-Woo Sim, June-Seok Lee, and Kyo-Beum Lee, "On-line Parameter Estimation of Interior Permanent Magnet Synchronous Motor Using an Extended Kalman Filter," Journal of Electrical Engineering & Technology, vol. 9, no. 2, pp. 600-608, Mar. 2014.

2014
PEEMS
  • Oct. 4, 2023

views
1. Authors: Hyun-Woo Sim, June-Seok Lee, and Kyo-Beum Lee
2. Title: On-line Parameter Estimation of Interior Permanent Magnet Synchronous Motor Using an Extended Kalman Filter
3. Journal: Journal of Electrical Engineering & Technology
4. Vol/no/pp: vol. 9, no. 2, pp. 600-608
5. Date: Mar. 2014
6. Abstract
: This paper presents estimation of d-axis and q-axis inductance of an interior permanent magnet synchronous motor (IPMSM) by using an extended Kalman filter (EKF). The EKF is widely used for control applications including the motor sensorless control and parameter estimation. The motor parameters can be changed by temperature and air-gap flux. In particular, the variation of the inductance affects torque characteristics like the maximum torque per ampere (MTPA) control. Therefore, by estimating the parameters, it is possible to improve the torque characteristics of the motor. The performance of the proposed estimator is verified by simulations and experimental results based on an 11kW PMSM drive system.