Self-tuning of a kalman filter applied in a DC drive and in a kalman-based sensor

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

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.

OriginalspracheEnglisch
TitelProceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019
HerausgeberAndrzej Kot, Agata Nawrocka
Anzahl der Seiten5
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum01.05.2019
Aufsatznummer8766057
ISBN (elektronisch)978-1-7281-0701-1 , 978-1-7281-0702-8 , 978-1-7281-0703-5
DOIs
PublikationsstatusErschienen - 01.05.2019
Veranstaltung20st International Carpathian Control Conference - ICCC 2019 - Kraków - Wieliczka, Polen
Dauer: 26.05.201929.05.2019
Konferenznummer: 20
https://iccc.agh.edu.pl/

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