The Application of Artificial Intelligence To Roll Stabilisation For A Range of Loading and Operating Conditions

Roskilly, AP; Webster, BN; Birmingham, RW; Jones, EB

doi:10.3940/rina.ijme.2003.a4.7031

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Perez and Goodwin applied the model predictive control to the fin stabilizer control to prevent the occurrence of dynamic stall [4]. In addition, the rise of intelligent control methods has attracted a large number of scholars [11][12][13]. Some achievements of rudder roll reduction are included in [3,14].…”

Section: Introductionmentioning

confidence: 99%

Model Based Robust Predictive Control of Ship Roll/Yaw Motions with Input Constraints

et al. 2020

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A robust H∞-type state feedback model predictive control (H∞-SFMPC) with input constraints is proposed to optimize the control performance during the ship sailing. Specifically, the approach employed in this paper is able to optimize the closed-loop performance with respect to an H∞-type cost function which predicts the system performance based on the actual model instead of the ideal model. As a result, the effect caused by disturbances is attenuated. The state feedback control gain for the control input of the rudder-fin joint roll/yaw control system is obtained by solving a constrained convex optimization problem in terms of linear matrix inequalities. Simulations are carried out, which reveal that the proposed approach has outstanding control performance. Furthermore, it is found that the approach also has significant robustness with respect to parameter uncertainties.

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Section: Introductionmentioning

confidence: 99%

Model Based Robust Predictive Control of Ship Roll/Yaw Motions with Input Constraints

et al. 2020

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“…The damping factor for water motion in the tank used in their study could be adjusted to achieve an optimum value by changing the quantity of additional resistance. Webster et al (2003) explored the use of artificial intelligence to control a free-surface ART. The proposed tank system was able to account for changing loading and operational conditions by constantly re-tuning the configuration of the tank.…”

Section: Motion Reduction Mechanismsmentioning

confidence: 99%

Heave response of a floating vertical cylinder with built-in tuned mass damper

Kurniawan¹

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2.1.2 Column stabilised semi-submersible platforms 7 2.1.3 Tension leg platforms (TLP) 2.1.4 Spar platforms 2.1.5 Very Large Floating Structures (VLFS) 2.1.6 Summary of floating structure concepts 2.2 Motion reduction mechanisms 2.3 Tuned Mass Damper (TMD) 2.4 Important concepts in hydrodynamics of floating bodies 2.4.1 Regimes of flow 2.4.2 Linear and nonlinear waves 2.4.3 Diffraction and radiation theory 2.5 Methods of hydrodynamic analysis of floating bodies 2.6 Diffraction and radiation problem of floating vertical circular cylinders

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On the development of ship anti-roll tanks

Moaleji

Greig

2007

Ocean Engineering

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The Application of Artificial Intelligence To Roll Stabilisation For A Range of Loading and Operating Conditions

Cited by 3 publications

References 2 publications

Model Based Robust Predictive Control of Ship Roll/Yaw Motions with Input Constraints

Model Based Robust Predictive Control of Ship Roll/Yaw Motions with Input Constraints

Heave response of a floating vertical cylinder with built-in tuned mass damper

On the development of ship anti-roll tanks

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