Guerrero-Fernandez, J.L., Tom, N.M. and Rossiter, J. orcid.org/0000-0002-1336-0633 (2022) Nonlinear model predictive control based on real-time iteration scheme for wave energy converters using WEC-SIM. In: ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering, 05-10 Jun 2022, Hamburg, Germany. American Society of Mechanical Engineers (ASME) , V008T09A076. ISBN 978-0-7918-8593-2
Abstract
One of several challenges that wave energy technologies face is their inability to generate electricity cost-competitively with other grid-scale energy generation sources. Several studies have identified two approaches to lower the levelised cost of electricity: reduce the cost over the device’s lifetime or increase its overall electrical energy production. Several advanced control strategies have been developed to address the latter. However, only a few take into account the overall efficiency of the power take-off (PTO) system, and none of them solve the optimisation problem that arises at each sampling time on real-time. In this paper, a detailed Nonlinear model predictive control (NMPC) approach based on the real-time iteration (RTI) scheme is presented, and the controller performance is evaluated using a time-domain hydrodynamics model (WEC-Sim). The proposed control law incorporates the PTO system’s efficiency in a control law to maximise the energy extracted. The study also revealed that RTI-NMPC clearly outperforms a simple resistive controller.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2022 ASME. |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 27 Apr 2022 06:59 |
Last Modified: | 11 Nov 2022 14:19 |
Status: | Published |
Publisher: | American Society of Mechanical Engineers (ASME) |
Refereed: | Yes |
Identification Number: | 10.1115/OMAE2022-80972 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:185598 |