Application of Particle Swarm Optimized PDD<sup>2</sup>Control for Ship Roll Motion With Active Fins

Ertogan, Melek; Ertuğrul, Şeniz; Taylan, Metin

doi:10.1109/tmech.2015.2479401

Cited by 18 publications

(13 citation statements)

References 32 publications

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“…A ship roll motion mathematical model depending on pitch and heave motions was studied according to grey box method for a ship roll motion reduction control design (Ertogan, et al, 2016). Also, a hydraulic system for actuating ship stabilizer fin system was modelled according to grey box method, as well (Zihnioglu, et al, 2016).…”

Section: Modelling Of Marine Vehicles' Dynamics For Control Applicationsmentioning

confidence: 99%

“…An ship roll motion reduction control system was set up, and an advanced controller was developed (Ertogan, et al, 2016). Then, a hydraulic and fin mechanic system for actuating ship stabilizer fin system prototype was developed and constructed, as well (Ertogan, et al, 2015;Zihnioglu, et al, 2016).…”

Section: Marine Mechatronic Systems' Prototyping and Controlmentioning

confidence: 99%

“…Six degrees of freedom nonlinear ship dynamics under environmental and loading conditions, can be simplified to a single degree of freedom roll motion depending on pitch and heave motions to be used in simulation studies (Newman, 1977;Milgram, 2003;Vanden Berg, 1991). Before the real-time an advanced active fin system control performance evaluations, necessary simulation studies were carried out by utilizing experimental data to obtain hydrodynamic coefficients and other ship dynamic characteristics from full-scale measurement tests on Marti (Ertogan, et al, 2016). The equation of a single degree of freedom roll motion depending on pitch and heave motions is given as…”

Section: Modelling and Determination Of Parameters For Control Applicmentioning

confidence: 99%

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Marine measurement and real-time control systems with case studies

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Measurement, data transfer, modelling, controller systems are main subjects of interdisciplinary area during prototyping of marine automatic control systems. Experimental parameter identification under changing environmental conditions is an essential step for modelling and control system design are in question for various marine applications. The selection of variables to be measured, type of measurement sensors, type of control algorithms and controller systems, communication, signal conditioning are all important topics for parameter identification and real-time control applications in maritime engineering. The objective of this paper is to present brief review these important topics based on our case studies, such as ship roll motion reduction control, optimal trim control of a high speed craft, and dynamic position control of underwater vehicles. These projects involved extensive dynamic modelling, simulation, control algorithm design, real-time implementation and full-scale sea trials. In this paper, presented the methods, and the required characteristics of the marine control systems are proved with the results obtained by the simulation and test studies. Also, insight into the selection of hardware and software components for mechatronic applications in marine engineering is provided.

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Section: Modelling Of Marine Vehicles' Dynamics For Control Applicationsmentioning

confidence: 99%

Section: Marine Mechatronic Systems' Prototyping and Controlmentioning

confidence: 99%

Section: Modelling and Determination Of Parameters For Control Applicmentioning

confidence: 99%

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Marine measurement and real-time control systems with case studies

et al. 2018

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“…If the fin roll moment is expressed as follows [18]: (6) and the damping and restoring forces are selected as discussed in [18], Equation 1can be rewritten as follows:…”

Section: Mathematical Model Of the System 21 Ship Roll Motionmentioning

confidence: 99%

“…The effectiveness of the controller under the effect of beam seas was shown in a simulation study. In [6], the designed proportional, derivative, second derivative controller was tuned by particle swarm optimization algorithms. In simulations and real-time full-scale sea trials, the control algorithm achieved to damp the roll motion significantly.…”

Section: Introductionmentioning

confidence: 99%

Design of an Optimal Controller for the Roll Stabilization of Surface Ships with Active Fins

Arslan¹

2018

J ETA Maritime Sci

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In this paper, an optimal controller is designed to control the undesired roll motion of a ship under the effect of sea waves by using active fin stabilizers. The roll dynamics is described by a single-degree-offreedom nonlinear model. An actuator dynamics is also included to the dynamic system. Sinusoidal and random wave models are used to describe the wave elevation that causes disturbance moments in the ship. A worst-case scenario is the application of the periodic wave to bring the ship resonance, whereas the random waves are used to test the system at the smooth and moderate sea states. In designing the controller, the energy optimal control method, which allows both the closed-loop and real-time control of dynamic systems, is employed, and the control law is obtained analytically. The performance of the controller, under the effect of environmental disturbances, is tested by computer simulations and the results are compared with those from LQR controlled ship.

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Neural network based fin control for ship roll stabilization with guaranteed robustness

Luo

2017

Neurocomputing

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Application of Particle Swarm Optimized PDD²Control for Ship Roll Motion With Active Fins

Cited by 18 publications

References 32 publications

Marine measurement and real-time control systems with case studies

Marine measurement and real-time control systems with case studies

Design of an Optimal Controller for the Roll Stabilization of Surface Ships with Active Fins

Neural network based fin control for ship roll stabilization with guaranteed robustness

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Application of Particle Swarm Optimized PDD2Control for Ship Roll Motion With Active Fins

Cited by 18 publications

References 32 publications

Marine measurement and real-time control systems with case studies

Marine measurement and real-time control systems with case studies

Design of an Optimal Controller for the Roll Stabilization of Surface Ships with Active Fins

Neural network based fin control for ship roll stabilization with guaranteed robustness

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Product

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Application of Particle Swarm Optimized PDD²Control for Ship Roll Motion With Active Fins