### Abstract

A model for a oscillating flap wave energy converter (WEC) is as a single degree of freedom system with a non-linear term to allow for the drag of the device through the water, known as the Morison term. The focus of this system identification is on estimating the dynamic state of the system and estimating the non-linear parameter from observations of the wave elevation and the vertical displacement of the device. It is assumed that the mass, stiffness and damping of the system, without the Morison term, are known from the physical characteristics of the device. The Kalman Filter (KF) can be used to estimate the states of a linear system, however, it is not directly applicable to a non-linear system. Various adaptations have been proposed for non-linear systems. One of the first was the extended Kalman Filter (EKF) which relied on a linearization about the current state values. However, an alternative approach, known as the unscented Kalman Filter (UKF) has been found to give a better performance and is easier to implement. We apply the UKF to estimate the dynamic states of the system together with the non-linear parameter. The fitted model can be used to predict the performance of the device in different wave environments.

Original language | English |
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Title of host publication | AIP Conference Proceedings |

Publisher | American Institute of Physics Inc. |

Pages | 304-310 |

Number of pages | 7 |

Volume | 1602 |

ISBN (Print) | 9780735412361 |

DOIs | |

Publication status | Published - 2014 |

Event | 3rd International Conference on Mathematical Sciences, ICMS 2013 - Kuala Lumpur Duration: 17 Dec 2013 → 19 Dec 2013 |

### Other

Other | 3rd International Conference on Mathematical Sciences, ICMS 2013 |
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City | Kuala Lumpur |

Period | 17/12/13 → 19/12/13 |

### Fingerprint

### Keywords

- System identification
- Unscented kalman filter
- Wave energy converters

### ASJC Scopus subject areas

- Physics and Astronomy(all)

### Cite this

*AIP Conference Proceedings*(Vol. 1602, pp. 304-310). American Institute of Physics Inc.. https://doi.org/10.1063/1.4882503

**Unscented Kalman filtering for wave energy converters system identification.** / Abu Bakar, Mohd Aftar; Green, David A.; Metcalfe, Andrew V.; Mohd Ariff, Noratiqah.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*AIP Conference Proceedings.*vol. 1602, American Institute of Physics Inc., pp. 304-310, 3rd International Conference on Mathematical Sciences, ICMS 2013, Kuala Lumpur, 17/12/13. https://doi.org/10.1063/1.4882503

}

TY - GEN

T1 - Unscented Kalman filtering for wave energy converters system identification

AU - Abu Bakar, Mohd Aftar

AU - Green, David A.

AU - Metcalfe, Andrew V.

AU - Mohd Ariff, Noratiqah

PY - 2014

Y1 - 2014

N2 - A model for a oscillating flap wave energy converter (WEC) is as a single degree of freedom system with a non-linear term to allow for the drag of the device through the water, known as the Morison term. The focus of this system identification is on estimating the dynamic state of the system and estimating the non-linear parameter from observations of the wave elevation and the vertical displacement of the device. It is assumed that the mass, stiffness and damping of the system, without the Morison term, are known from the physical characteristics of the device. The Kalman Filter (KF) can be used to estimate the states of a linear system, however, it is not directly applicable to a non-linear system. Various adaptations have been proposed for non-linear systems. One of the first was the extended Kalman Filter (EKF) which relied on a linearization about the current state values. However, an alternative approach, known as the unscented Kalman Filter (UKF) has been found to give a better performance and is easier to implement. We apply the UKF to estimate the dynamic states of the system together with the non-linear parameter. The fitted model can be used to predict the performance of the device in different wave environments.

AB - A model for a oscillating flap wave energy converter (WEC) is as a single degree of freedom system with a non-linear term to allow for the drag of the device through the water, known as the Morison term. The focus of this system identification is on estimating the dynamic state of the system and estimating the non-linear parameter from observations of the wave elevation and the vertical displacement of the device. It is assumed that the mass, stiffness and damping of the system, without the Morison term, are known from the physical characteristics of the device. The Kalman Filter (KF) can be used to estimate the states of a linear system, however, it is not directly applicable to a non-linear system. Various adaptations have been proposed for non-linear systems. One of the first was the extended Kalman Filter (EKF) which relied on a linearization about the current state values. However, an alternative approach, known as the unscented Kalman Filter (UKF) has been found to give a better performance and is easier to implement. We apply the UKF to estimate the dynamic states of the system together with the non-linear parameter. The fitted model can be used to predict the performance of the device in different wave environments.

KW - System identification

KW - Unscented kalman filter

KW - Wave energy converters

UR - http://www.scopus.com/inward/record.url?scp=84904137042&partnerID=8YFLogxK

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U2 - 10.1063/1.4882503

DO - 10.1063/1.4882503

M3 - Conference contribution

SN - 9780735412361

VL - 1602

SP - 304

EP - 310

BT - AIP Conference Proceedings

PB - American Institute of Physics Inc.

ER -