Self-tuning of a kalman filter applied in a DC drive and in a kalman-based sensor
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Kalman filters (KFs) are used in many different areas of application that require a solution to discrete-data linear filtering problems. Especially in the field of electric controls KFs represent a very used approach and an integral part of many states of the art of electric controls. However, the practical implementation of the KF often presents difficulties due to the challenging task of getting a good estimate of the covariance of the process noise represented by matrix Qk and of the covariance of the measurement noise represented by matrix Rk. A fitting and simultaneous choice of the matrices Qk and Rk based on a feedback loop within the KF realised by the filter samples can lead to a stable-operating filter after a reasonable amount of iterations. In this paper an approach to apply a feedback loop enabling dynamic values Qk and Rk is presented. This approach will be applied in a simulation using Matlab/Simulink.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019 |
| Editors | Andrzej Kot, Agata Nawrocka |
| Number of pages | 5 |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 01.05.2019 |
| Article number | 8766057 |
| ISBN (electronic) | 978-1-7281-0701-1 , 978-1-7281-0702-8 , 978-1-7281-0703-5 |
| DOIs | |
| Publication status | Published - 01.05.2019 |
| Event | 20st International Carpathian Control Conference - ICCC 2019 - Kraków - Wieliczka, Poland Duration: 26.05.2019 → 29.05.2019 Conference number: 20 https://iccc.agh.edu.pl/ |
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