Model Predictive Control Tuning by Inverse Matching for a Wave Energy Converter

Cho, Hancheol; Bacelli, Giorgio; Coe, Ryan G.

doi:10.3390/en12214158

Model Predictive Control Tuning by Inverse Matching for a Wave Energy Converter

Journal Article · Thu Oct 31 00:00:00 EDT 2019 · Energies

DOI:https://doi.org/10.3390/en12214158· OSTI ID:2376234

Cho, Hancheol; Bacelli, Giorgio;

This paper investigates the application of a method to find the cost function or the weight matrices to be used in model predictive control (MPC) such that the MPC has the same performance as a predesigned linear controller in state-feedback form when constraints are not active. This is potentially useful when a successful linear controller already exists and it is necessary to incorporate the constraint-handling capabilities of MPC. This is the case for a wave energy converter (WEC), where the maximum power transfer law is well-understood. In addition to solutions based on numerical optimization, a simple analytical solution is also derived for cases with a short prediction horizon. These methods are applied for the control of an empirically-based WEC model. The results show that the MPC can be successfully tuned to follow an existing linear control law and to comply with both input and state constraints, such as actuator force and actuator stroke.

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Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Hydropower Technology Program (EE-2B)

Grant/Contract Number:: AC04-94AL85000; NA0003525

OSTI ID:: 2376234

Alternate ID(s):: OSTI ID: 1595034

Report Number(s):: SAND--2019-15027J; PII: en12214158

Journal Information:: Energies, Journal Name: Energies Journal Issue: 21 Vol. 12; ISSN 1996-1073; ISSN ENERGA

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

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