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
Standard
Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019. ed. / Andrzej Kot; Agata Nawrocka. IEEE - Institute of Electrical and Electronics Engineers Inc., 2019. 8766057 (Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - CHAP
T1 - Self-tuning of a kalman filter applied in a DC drive and in a kalman-based sensor
AU - Lassen, Jan Thore
AU - Mercorelli, Paolo
N1 - Conference code: 20
PY - 2019/5/1
Y1 - 2019/5/1
N2 - 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.
AB - 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.
KW - Component
KW - Formatting
KW - Insert
KW - Style
KW - Styling
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85069873977&partnerID=8YFLogxK
U2 - 10.1109/CarpathianCC.2019.8766057
DO - 10.1109/CarpathianCC.2019.8766057
M3 - Article in conference proceedings
T3 - Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019
BT - Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019
A2 - Kot, Andrzej
A2 - Nawrocka, Agata
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - 20st International Carpathian Control Conference - ICCC 2019
Y2 - 26 May 2019 through 29 May 2019
ER -