Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Mauro H. Riva
  • Matthias Dagen
  • Tobias Ortmaier

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Details

OriginalspracheEnglisch
Titel des Sammelwerks19th IFAC World Congress IFAC 2014, Proceedings
Herausgeber/-innenEdward Boje, Xiaohua Xia
ErscheinungsortCape Town, South Africa
Herausgeber (Verlag)IFAC Secretariat
Seiten8558-8563
Seitenumfang6
ISBN (elektronisch)9783902823625
PublikationsstatusVeröffentlicht - 2014
Veranstaltung19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, Südafrika
Dauer: 24 Aug. 201429 Aug. 2014

Publikationsreihe

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Band19
ISSN (Print)1474-6670

Abstract

An adaptive High-Gain observer (AHG) as well as an Extended (EKF) and Unscented Kalman filter (UKF) are implemented for joint state and parameter estimation of a novel multi-axial electromagnetically actuated punch. These observers are compared in terms of convergence and response time to erroneous parameter and state initialization, as well as parameter modifications during operation. The AHG is further analyzed proposing an adaptive gain, which reduces the observer's high sensibility with respect to noise. Simulation results show that AHG is more suitable compared to state-of-the-art EKF and UKF.

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Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter. / Riva, Mauro H.; Dagen, Matthias; Ortmaier, Tobias.
19th IFAC World Congress IFAC 2014, Proceedings. Hrsg. / Edward Boje; Xiaohua Xia. Cape Town, South Africa: IFAC Secretariat, 2014. S. 8558-8563 (IFAC Proceedings Volumes (IFAC-PapersOnline); Band 19).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Riva, MH, Dagen, M & Ortmaier, T 2014, Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter. in E Boje & X Xia (Hrsg.), 19th IFAC World Congress IFAC 2014, Proceedings. IFAC Proceedings Volumes (IFAC-PapersOnline), Bd. 19, IFAC Secretariat, Cape Town, South Africa, S. 8558-8563, 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, Cape Town, Südafrika, 24 Aug. 2014. https://doi.org/10.3182/20140824-6-za-1003.01609
Riva, M. H., Dagen, M., & Ortmaier, T. (2014). Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter. In E. Boje, & X. Xia (Hrsg.), 19th IFAC World Congress IFAC 2014, Proceedings (S. 8558-8563). (IFAC Proceedings Volumes (IFAC-PapersOnline); Band 19). IFAC Secretariat. https://doi.org/10.3182/20140824-6-za-1003.01609
Riva MH, Dagen M, Ortmaier T. Adaptive High-Gain observer for joint state and parameter estimation: A comparison to Extended and Unscented Kalman filter. in Boje E, Xia X, Hrsg., 19th IFAC World Congress IFAC 2014, Proceedings. Cape Town, South Africa: IFAC Secretariat. 2014. S. 8558-8563. (IFAC Proceedings Volumes (IFAC-PapersOnline)). doi: 10.3182/20140824-6-za-1003.01609
Riva, Mauro H. ; Dagen, Matthias ; Ortmaier, Tobias. / Adaptive High-Gain observer for joint state and parameter estimation : A comparison to Extended and Unscented Kalman filter. 19th IFAC World Congress IFAC 2014, Proceedings. Hrsg. / Edward Boje ; Xiaohua Xia. Cape Town, South Africa : IFAC Secretariat, 2014. S. 8558-8563 (IFAC Proceedings Volumes (IFAC-PapersOnline)).
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abstract = "An adaptive High-Gain observer (AHG) as well as an Extended (EKF) and Unscented Kalman filter (UKF) are implemented for joint state and parameter estimation of a novel multi-axial electromagnetically actuated punch. These observers are compared in terms of convergence and response time to erroneous parameter and state initialization, as well as parameter modifications during operation. The AHG is further analyzed proposing an adaptive gain, which reduces the observer's high sensibility with respect to noise. Simulation results show that AHG is more suitable compared to state-of-the-art EKF and UKF.",
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