Model Predictive Control of a Nonlinear 2-Body Point Absorber Wave Energy Converter With Estimated State Feedback

Autor:	Mario E. Magaña, Oliver Sawodny, Kai Uwe Amann
Rok vydání:	2015
Předmět:	Engineering Renewable Energy Sustainability and the Environment business.industry Control engineering Kalman filter Optimal control Nonlinear system Extended Kalman filter Model predictive control Control theory State space Time domain business Energy (signal processing)
Zdroj:	IEEE Transactions on Sustainable Energy. 6:336-345
ISSN:	1949-3037 1949-3029
DOI:	10.1109/tste.2014.2372059
Popis:	Ocean wave energy has the potential to significantly contribute to sustainable power generation in coastal regions. Much of the research effort has gone into developing time domain state space models of point absorber wave energy converters (WECs) and subsequently into model-based optimal control to efficiently harvest the maximum possible amount of energy. The resulting controllers require knowledge of the states of the WEC in order to achieve the design goals. The purpose of this paper is to design and apply an extended Kalman filter-based estimation algorithm to a nonlinear two-body WEC model and to evaluate its performance in conjunction with a model predictive controller (MPC), which maximizes energy yield while satisfying operational constraints.
Databáze:	OpenAIRE
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