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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Mauro H. Riva
  • Matthias Dagen
  • Tobias Ortmaier

Research Organisations

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Details

Original languageEnglish
Title of host publication19th IFAC World Congress IFAC 2014, Proceedings
EditorsEdward Boje, Xiaohua Xia
Place of PublicationCape Town, South Africa
PublisherIFAC Secretariat
Pages8558-8563
Number of pages6
ISBN (electronic)9783902823625
Publication statusPublished - 2014
Event19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa
Duration: 24 Aug 201429 Aug 2014

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume19
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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Cite this

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. ed. / Edward Boje; Xiaohua Xia. Cape Town, South Africa: IFAC Secretariat, 2014. p. 8558-8563 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 19).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer 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 (eds), 19th IFAC World Congress IFAC 2014, Proceedings. IFAC Proceedings Volumes (IFAC-PapersOnline), vol. 19, IFAC Secretariat, Cape Town, South Africa, pp. 8558-8563, 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, Cape Town, South Africa, 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 (Eds.), 19th IFAC World Congress IFAC 2014, Proceedings (pp. 8558-8563). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 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, editors, 19th IFAC World Congress IFAC 2014, Proceedings. Cape Town, South Africa: IFAC Secretariat. 2014. p. 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. editor / Edward Boje ; Xiaohua Xia. Cape Town, South Africa : IFAC Secretariat, 2014. pp. 8558-8563 (IFAC Proceedings Volumes (IFAC-PapersOnline)).
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