Wave excitation force estimator using Kalman filtering approach for point absorber wave energy converters under different modeling and operation scenarios

Mohammed A. Jama, Addy Wahyudie

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

In this research, one of the most important research questions that influence the effectiveness of the used control strategies in heaving wave energy converters (WECs) is addressed. A nonlinear extended Kalman filter (EKF) based state estimator to estimate the wave excitation force and heave velocity in real-time is proposed. A holistic nonlinear model involving both the mechanical and electrical sides of the WEC system is used. The proposed estimator was compared with a simpler linear Kalman filter (KF) estimator under varying sea state environment and electric loading conditions. Generally, both estimators produced”statistically” good estimates, however, the EKF estimators outperformed its counterpart in both the estimation accuracy and maintaining low incident energy drop.

Original languageEnglish
Pages (from-to)12352-12357
Number of pages6
JournalIFAC-PapersOnLine
Volume53
Issue number2
DOIs
Publication statusPublished - 2020
Event21st IFAC World Congress 2020 - Berlin, Germany
Duration: Jul 12 2020Jul 17 2020

Keywords

  • Excitation force
  • Extended kalman filter
  • State estimation
  • Wave energy
  • Wave energy converter

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Wave excitation force estimator using Kalman filtering approach for point absorber wave energy converters under different modeling and operation scenarios'. Together they form a unique fingerprint.

Cite this