2017
DOI: 10.5957/josr.61.1.160041
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An Experimental Investigation of Ride Control Algorithms for High-Speed Catamarans Part 1: Reduction of Ship Motions

Abstract: Ride control systems are essential for comfort and operability of high-speed ships, but it remains an open question what is the optimum ride control method. To investigate the motions of a 112 m high-speed catamaran fitted with a ride control system a 2.5 m model was tested in a towing tank. The model active control system comprised two transom stern tabs and a central T-Foil beneath the bow. Six ideal motion control feedback algorithms were used to activate the model scale ride control system and surfaces in … Show more

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Cited by 20 publications
(71 citation statements)
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“…The principle here is simply that this action extracts maximum energy from any dynamic motion. As explained previously[7], the vertical velocities of the model at the longitudinal location of each control surface are O − 6 37 > and O + 6 ?3 > for the T-Foil and stern tab respectively. Thus in the local control mode we require control surface demands ; 37< = N(O − 6 37 >) and ; ?3< = ℎ(O + 6 ?3 >), where…”
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confidence: 78%
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“…The principle here is simply that this action extracts maximum energy from any dynamic motion. As explained previously[7], the vertical velocities of the model at the longitudinal location of each control surface are O − 6 37 > and O + 6 ?3 > for the T-Foil and stern tab respectively. Thus in the local control mode we require control surface demands ; 37< = N(O − 6 37 >) and ; ?3< = ℎ(O + 6 ?3 >), where…”
mentioning
confidence: 78%
“…The control surfaces lift coefficient derivatives (C Lα ) were determined from previous studies on the T-Foil [23] and stern tabs [25]. As previously explained [7] the T-Foil reaches the limit of its range before the stern tabs and therefore the parameter e is determined by Equation 8 in terms of the maximum T-Foil deflection and the parameter k is determined by Equation 9 in terms of e. Thus, the stern tabs operate at less than their full range of action.…”
Section: Ride Control Algorithmsmentioning
confidence: 99%
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