Extended kalman filter tuning in sensorless PMSM drives
Top Cited Papers
- 24 November 2003
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industry Applications
- Vol. 39 (6), 1741-1747
- https://doi.org/10.1109/tia.2003.818991
Abstract
The use of an extended Kalman filter (EKF) as a nonlinear speed and position observer for permanent-magnet synchronous motor drives is a mature research topic. Notwithstanding, the shift from research prototype to a market-ready product still calls for a solution to some implementation pitfalls. The major and still unsolved topic is the choice of the EKF covariance matrices. This paper replaces the usual trial-and-error method with a straightforward matrices choice. These matrices, possibly combined with a novel self-tuning procedure, should put the EKF drive much closer to an off-the-shelf product. The proposed method is based on the complete normalization of the EKF algorithm representation. Successful experimental results are included in the paper.Keywords
This publication has 4 references indexed in Scilit:
- Extended-range PMSM sensorless speed drive based on stochastic filteringIEEE Transactions on Power Electronics, 2001
- Sensorless full-digital PMSM drive with EKF estimation of speed and rotor positionIEEE Transactions on Industrial Electronics, 1999
- Design and implementation of an extended Kalman filter for the state estimation of a permanent magnet synchronous motorIEEE Transactions on Power Electronics, 1991
- Real-time implementation of a narrow-band Kalman filter with a floating-point processor DSP32IEEE Transactions on Industrial Electronics, 1990