Luca Parrinello
An adaptive and energy-maximizing control of wave energy converters using an extremum-seeking approach.
Rel. Giovanni Bracco, Giuliana Mattiazzo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica, 2020
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Abstract
In this study is presented a systematical investigation on the feasibility of different extremum-seeking (ES) controls to improve the conversion efficiency of wave energy converters (WECs). The implemented schemes are model-free and adopt a continuous-time approach and are based on the sliding mode, relay, least-squares gradient, self-driving, and perturbation-based methods, and are used to improve the mean extracted power of a heaving point absorber subject to regular and irregular waves. This objective is achieved by optimizing the resistive and reactive coefficients of the power take-off (PTO) mechanism using the ES approach. The optimization results are verified against analytical solutions and the extremum of reference-to-output maps.
The numerical results demonstrate that except for the self-driving ES algorithm, the other four ES schemes reliably converge for the two-parameter optimization problem, whereas the former is more suitable for optimizing a single-parameter
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