An improved model predictive control method for wave energy converters

The model accuracy and objective function complexity are key issues that remain in the realisation of model predictive control (MPC) of wave energy converters (WECs). In this study, the viscous force is considered in a WEC model to improve model accuracy, and an improved model predictive control (IM...

Full description

Saved in:
Bibliographic Details
Main Authors: Wang, Zhenchun, Luan, Feng, Wang, Nianguo
Format: Conference Proceeding
Language:English
Subjects:
Complexity theory
Force
Linear programming
Model predictive control
Numerical models
Numerical simulation
Predictive models
Quadratic programming
Viscous force
Wave energy converters
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The model accuracy and objective function complexity are key issues that remain in the realisation of model predictive control (MPC) of wave energy converters (WECs). In this study, the viscous force is considered in a WEC model to improve model accuracy, and an improved model predictive control (IMPC) method is proposed that can reduce the quadratic programming (QP) performance requirements of the processor while maintaining a high energy conversion efficiency. The effectiveness of the IMPC method was verified through numerical simulations.
ISSN:2161-2927
DOI:10.23919/CCC52363.2021.9550494