Application of real‐time nonlinear model predictive control for wave energy conversion

Journal Article · 25 July 2021 · IET Renewable Power Generation

DOI: https://doi.org/10.1049/rpg2.12257 · OSTI ID:1810211

Haider, Ali S.  ^[1]; Brekken, Ted K. A. ^[1]; McCall, Alan ^[2]

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1. Electrical Engineering and Computer Science Oregon State University Corvallis Oregon USA
2. Dehlsen Associates, LLC. Santa Barbara California USA

Abstract This article presents an approach to implement a Nonlinear Model Predictive Controller (NMPC) in real‐time with a non‐standard cost index. The proposed technique's applications are presented to maximize the energy produced by a Wave Energy Converter (WEC) when the cost index is a non‐quadratic piecewise discontinuous functional of some design variables. The presented framework is based on pseudo‐quadratisation and weight scheduling, which is implemented using the ACADO toolkit for MATLAB/Simulink. The proposed strategy features code generation and deployment on the real‐time target machines for industrial applications. The simulations and experiments confirm the success of the proposed approach in achieving the feasible operation of the NMPC and an optimal power capture by the wave energy converters.

• Research Organization: Dehlsen Associates, LLC, Santa Barbara, CA (United States)
• Sponsoring Organization: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• Grant/Contract Number: EE0007175
• OSTI ID: 1810211
• Journal Information: IET Renewable Power Generation, Journal Name: IET Renewable Power Generation Journal Issue: 14 Vol. 15; ISSN 1752-1416
• Publisher: Institution of Engineering and Technology (IET)Copyright Statement
• Country of Publication: United Kingdom
• Language: English