Journal
IFAC PAPERSONLINE
Volume 54, Issue 16, Pages 63-69Publisher
ELSEVIER
DOI: 10.1016/j.ifacol.2021.10.074
Keywords
Speed tracking; neural network approximation; backstepping design; hybrid power system; fuel injection delay
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Funding
- Research Council of Norway through the SEAOPS project of Brunvoll AS [309660]
- Research Council of Norway through the Centre of Excellence funding scheme [223254]
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This paper investigates the application of adaptive backstepping control in a hybrid power system for ship propulsion, using a main diesel engine and battery supply. The closed-loop system is proven to be uniformly ultimately bounded.
This paper investigates the application of adaptive backstepping control to a hybrid power system for ship propulsion, using a main diesel engine in conjunction with a battery for auxiliary power supply. Fuel injection delay to the diesel engine is estimated based on Pade approximation, and the pure-feedback term in the ship speed dynamics is approximated by Radial Basis Function (RBF) Neural Network. The closed-loop system is proved to be uniformly ultimately bounded. Copyright (C) 2021 The Authors.
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