Estimation of incident wave of AWS-based wave energy converter using extended Kalman filter

Jae Seung Kim, Jung Yoon Kim, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a novel method of estimating ocean waves by measuring current outputs from the Archimedes Wave Swing (AWS) wave energy converter (WEC). The wave period and height are crucial information to maximize the power output from the AWS. However, since the AWS is installed on the seabed, additional sensors and buoys are required to obtain the ocean wave information. The extended Kalman filter (EKF) is applied to obtain the states of the ocean wave by measuring the generator current in the α - β domain. As the EKF requires the Jacobian matrix of the system dynamic equations for the system matrix, simplified hydrodynamics of the floater including the Froude-Krylov excitation force and the domain α - β voltage equation of the generator is derived to develop the mathematical model of the AWS. In order to verify the performance of the estimator, a numerical simulation is performed and presented and it shows great agreement with the actual motion.

Original languageEnglish
Title of host publicationICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems
Pages1411-1416
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 13th International Conference on Control, Automation and Systems, ICCAS 2013 - Gwangju, Korea, Republic of
Duration: 2013 Oct 202013 Oct 23

Other

Other2013 13th International Conference on Control, Automation and Systems, ICCAS 2013
CountryKorea, Republic of
CityGwangju
Period13/10/2013/10/23

Fingerprint

Extended Kalman filters
Water waves
Buoys
Jacobian matrices
Dynamical systems
Hydrodynamics
Mathematical models
Sensors
Computer simulation
Electric potential

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, J. S., Kim, J. Y., & Park, J. B. (2013). Estimation of incident wave of AWS-based wave energy converter using extended Kalman filter. In ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems (pp. 1411-1416). [6704106] https://doi.org/10.1109/ICCAS.2013.6704106
Kim, Jae Seung ; Kim, Jung Yoon ; Park, Jin Bae. / Estimation of incident wave of AWS-based wave energy converter using extended Kalman filter. ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems. 2013. pp. 1411-1416
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abstract = "This paper presents a novel method of estimating ocean waves by measuring current outputs from the Archimedes Wave Swing (AWS) wave energy converter (WEC). The wave period and height are crucial information to maximize the power output from the AWS. However, since the AWS is installed on the seabed, additional sensors and buoys are required to obtain the ocean wave information. The extended Kalman filter (EKF) is applied to obtain the states of the ocean wave by measuring the generator current in the α - β domain. As the EKF requires the Jacobian matrix of the system dynamic equations for the system matrix, simplified hydrodynamics of the floater including the Froude-Krylov excitation force and the domain α - β voltage equation of the generator is derived to develop the mathematical model of the AWS. In order to verify the performance of the estimator, a numerical simulation is performed and presented and it shows great agreement with the actual motion.",
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Kim, JS, Kim, JY & Park, JB 2013, Estimation of incident wave of AWS-based wave energy converter using extended Kalman filter. in ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems., 6704106, pp. 1411-1416, 2013 13th International Conference on Control, Automation and Systems, ICCAS 2013, Gwangju, Korea, Republic of, 13/10/20. https://doi.org/10.1109/ICCAS.2013.6704106

Estimation of incident wave of AWS-based wave energy converter using extended Kalman filter. / Kim, Jae Seung; Kim, Jung Yoon; Park, Jin Bae.

ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems. 2013. p. 1411-1416 6704106.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This paper presents a novel method of estimating ocean waves by measuring current outputs from the Archimedes Wave Swing (AWS) wave energy converter (WEC). The wave period and height are crucial information to maximize the power output from the AWS. However, since the AWS is installed on the seabed, additional sensors and buoys are required to obtain the ocean wave information. The extended Kalman filter (EKF) is applied to obtain the states of the ocean wave by measuring the generator current in the α - β domain. As the EKF requires the Jacobian matrix of the system dynamic equations for the system matrix, simplified hydrodynamics of the floater including the Froude-Krylov excitation force and the domain α - β voltage equation of the generator is derived to develop the mathematical model of the AWS. In order to verify the performance of the estimator, a numerical simulation is performed and presented and it shows great agreement with the actual motion.

AB - This paper presents a novel method of estimating ocean waves by measuring current outputs from the Archimedes Wave Swing (AWS) wave energy converter (WEC). The wave period and height are crucial information to maximize the power output from the AWS. However, since the AWS is installed on the seabed, additional sensors and buoys are required to obtain the ocean wave information. The extended Kalman filter (EKF) is applied to obtain the states of the ocean wave by measuring the generator current in the α - β domain. As the EKF requires the Jacobian matrix of the system dynamic equations for the system matrix, simplified hydrodynamics of the floater including the Froude-Krylov excitation force and the domain α - β voltage equation of the generator is derived to develop the mathematical model of the AWS. In order to verify the performance of the estimator, a numerical simulation is performed and presented and it shows great agreement with the actual motion.

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Kim JS, Kim JY, Park JB. Estimation of incident wave of AWS-based wave energy converter using extended Kalman filter. In ICCAS 2013 - 2013 13th International Conference on Control, Automation and Systems. 2013. p. 1411-1416. 6704106 https://doi.org/10.1109/ICCAS.2013.6704106