Frequency-motivated observer design for the prediction of parametric roll resonance control applications in marine systems
Holden, Christian, Perez, Tristan, & Fossen, Thor I. (2007) Frequency-motivated observer design for the prediction of parametric roll resonance control applications in marine systems. In Longi, Sauro & Vukic, Zoran (Eds.) 7th IFAC Conference on Control Applications in Marine Systems 2007, International Federation of Automatic Control (IFAC), Grand Hotel Elaphusa, Bol, Croatia, pp. 57-62.
This work deals with estimators for predicting when parametric roll resonance is going to occur in surface vessels. The roll angle of the vessel is modeled as a second-order linear oscillatory system with unknown parameters. Several algorithms are used to estimate the parameters and eigenvalues of the system based on data gathered experimentally on a 1:45 scale model of a tanker. Based on the estimated eigenvalues, the system predicts whether or not parametric roll occurred. A prediction accuracy of 100% is achieved for regular waves, and up to 87.5% for irregular waves.
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|Item Type:||Conference Paper|
|Keywords:||Parametric roll resonance, Observer design, Kalman filter, Least squares, Particle filter|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright © 2007 IFAC|
|Deposited On:||02 Nov 2014 22:48|
|Last Modified:||04 Nov 2014 04:22|
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