Francesco Fusco, Bradley Eck, et al.
Big Data 2020
Energy-maximizing controllers for wave energy devices are normally based on linear hydrodynamic device models. Such models ignore nonlinear effects which typically manifest themselves for large device motion (typical in this application) and may also include other modeling errors. The effectiveness of a controller is, in general, determined by the match between the model the controller is based on and the actual system dynamics. This match becomes especially critical when the controller is highly tuned to the system. In this paper, we present a methodology for reducing this sensitivity to modeling errors and nonlinear effects by the use of a hierarchical robust controller, which shows small sensitivity to modeling errors, but allows good energy maximization to be recovered through a passivity-based control approach. © 2010-2012 IEEE.
Francesco Fusco, Bradley Eck, et al.
Big Data 2020
John V. Ringwood, Giorgio Bacelli, et al.
IFAC 2014
Francesco Fusco, Mathieu Sinn
ISGT-Europe 2013
Francesco Fusco, Seshu Tirupathi, et al.
ISGT-Europe 2017