Application of real‐time nonlinear model predictive control for wave energy conversion. Issue 14 (26th July 2021)

• Record Type: Journal Article
• Authors: Haider, Ali S.; Brekken, Ted K.A.; McCall, Alan
• Other Names: Guo Bingyong guestEditor.; Zheng Siming guestEditor.; Ringwood John guestEditor.; Henriques João guestEditor.; Zhang Dahai guestEditor.
• Is Part Of: IET renewable power generation. Volume 15:Issue 14(2021)
• Page Start: 3331
• Page End: 3340
• Publication Date: 2021-07-26
• Subjects: Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/rpg2.12257
• Languages: English
• ISSNs: 1752-1416

Abstract

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. Abstract : This article presents the application of Realtime Nonlinear Model Predictive Control (NMPC) for Wave Energy Converters (WEC) with a nonstandard cost index. The proposed technique's applications are presented to maximize the energy produced by a Wave Energy Converter (WEC).