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Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview
Faedo, Nicolás; Olaya, Sébastien; Ringwood, John
Model predictive control (MPC) has achieved considerable success in the process industries, with its ability to deal with linear and nonlinear models, while observing system constraints and considering future behaviour. Given these characteristics, against the backdrop of the energy maximising control problem for Wave Energy Converters (WECs), with physical constraints on system variables and a non-causal optimal control solution it is, perhaps, natural to consider the application of MPC to the WEC problem. However, the WEC energy maximisation problem requires a significant modification of the traditional MPC objective function, resulting in a potentially non-convex optimisation problem. A variety of MPC formulations for WECs have been proposed, with variations in the WEC model, discretisation method, objective function and optimisation algorithm employed. This paper attempts to provide a critical comparison of the various WEC MPC algorithms, while also presenting WEC MPC algorithms within the broader context of other WEC “optimal” control schemes.
Keyword(s): Model predictive control; Receding horizon; Wave energy conversion; Wave energy device; Constrained optimisation; Optimal control
Publication Date:
2017
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Faedo, Nicolás and Olaya, Sébastien and Ringwood, John (2017) Optimal control, MPC and MPC-like algorithms for wave energy systems: An overview. IFAC Journal of Systems and Control, 1. pp. 37-56. ISSN 2468-6018
Publisher(s): Elsevier
File Format(s): other
Related Link(s): http://mural.maynoothuniversity.ie/12454/1/JR-Optimal-2017.pdf
First Indexed: 2020-04-02 06:01:26 Last Updated: 2020-04-02 06:01:26