Robust predictive control for heaving wave energy converters

Mohammed Jama, Addy Wahyudie, Hassan Noura

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

In this paper, a novel robust model predictive controller (R-MPC) for wave energy converters (WECs) is proposed. The controller combines a constrained function-based predictive controller that is responsible for ensuring maximum power extraction and a local model that compensates for system parametric uncertainties and model mismatches. Laguerre polynomials have been deployed to alleviate the computational burden usually associated with the standard MPC techniques. The computer simulation results show that the R-MPC strategy has produced satisfactory and computationally efficient performance with respect to maximizing the captured power, increasing the power conversion efficiency, and enhancing the power take-off (PTO) utilization.

Original languageEnglish
Pages (from-to)138-149
Number of pages12
JournalControl Engineering Practice
Volume77
DOIs
Publication statusPublished - Aug 2018

Keywords

  • Local model
  • Permanent magnet linear generator
  • Predictive control
  • Robust optimal control
  • Wave energy
  • Wave energy converter

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Robust predictive control for heaving wave energy converters'. Together they form a unique fingerprint.

Cite this