Details
Original language | English |
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Title of host publication | 19th IFAC World Congress IFAC 2014, Proceedings |
Editors | Edward Boje, Xiaohua Xia |
Place of Publication | Cape Town, South Africa |
Publisher | IFAC Secretariat |
Pages | 8558-8563 |
Number of pages | 6 |
ISBN (electronic) | 9783902823625 |
Publication status | Published - 2014 |
Event | 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 |
Publication series
Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
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Volume | 19 |
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.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
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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 proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Adaptive High-Gain observer for joint state and parameter estimation
T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
AU - Riva, Mauro H.
AU - Dagen, Matthias
AU - Ortmaier, Tobias
N1 - Funding information: The authors would like to thank the German Academic Exchange Service (Deutscher Akademischer Austauschdi-enst) for their financial support.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84929773652&partnerID=8YFLogxK
U2 - 10.3182/20140824-6-za-1003.01609
DO - 10.3182/20140824-6-za-1003.01609
M3 - Conference contribution
AN - SCOPUS:84929773652
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 8558
EP - 8563
BT - 19th IFAC World Congress IFAC 2014, Proceedings
A2 - Boje, Edward
A2 - Xia, Xiaohua
PB - IFAC Secretariat
CY - Cape Town, South Africa
Y2 - 24 August 2014 through 29 August 2014
ER -