Short-term wave force prediction for wave energy converter control

Hoai Nam Nguyen, Paolino Tona

Research output: Contribution to journalArticlepeer-review

Abstract

Given the importance of wave excitation force prediction in most advanced control schemes for wave energy converters, where every new wave force estimation becomes available every fraction of second, the main objective of this paper is to perform a short-term wave prediction that can meet a trade-off between low computational complexity, limited memory usage and accuracy. To this aim, two prediction algorithms are proposed using Kalman filtering theory. The proposed prediction methods are evaluated by using real measurements.

Original languageEnglish
Pages (from-to)26-37
Number of pages12
JournalControl Engineering Practice
Volume75
DOIs
Publication statusPublished - 1 Jun 2018
Externally publishedYes

Keywords

  • Adaptive Kalman filter
  • Extended Kalman filter
  • Model predictive control
  • Wave energy converter
  • Wave force prediction

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