A Dual Kalman Filter to Identify Parameters of a Permanent Magnet Synchronous Motor
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
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.
| Original language | English |
|---|---|
| Title of host publication | 2020 24th International Conference on System Theory, Control and Computing (ICSTCC) : October 8-10, 2020 Sinaia, Romania, Proceedings |
| Editors | Lucian-Florentin Bărbulescu |
| Number of pages | 5 |
| Place of Publication | Piscataway |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 08.10.2020 |
| Pages | 619-623 |
| Article number | 9259686 |
| ISBN (print) | 978-1-7281-9810-1 |
| ISBN (electronic) | 978-1-7281-9809-5, 978-1-7281-9808-8 |
| DOIs | |
| Publication status | Published - 08.10.2020 |
| Event | 24th International Conference on System Theory, Control and Computing - ICSTCC 2020 - Virtual , Virtual, Sinaia, Romania Duration: 08.10.2020 → 10.10.2020 Conference number: 24 http://ace.ucv.ro/icstcc2020/ http://ace.ucv.ro/icstcc2020/ |
- Kalman filter, parameter estimation, PMSM, simulations
- Engineering