Design a Two-step Master-slave Control Law for Zero-speed Fin Stabilizers

Huang, Jin; Wang, Fan; Ma, Ling; Gao, Yannan

doi:10.3724/sp.j.1004.2012.01059

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Thus, the nonlinear inversion is to solve the nonlinear equation F * − F ( ω f ) = 0. The numerical iterative method is adopted to design the slave controller to realize the nonlinear inversion [23]. …”

Section: System Modeling and Controller Designmentioning

confidence: 99%

“…It should be noted that the target vessel in [23] and [24] is a 52-meter-long small ship, and that is why the roll response without control in the same sea conditions is larger. It can be seen from the comparison that the anti-rolling effect of the zero-speed fin stabilizer under wave disturbance with the significant wave height of 1.5 m is about 70%∼80%., which also demonstrates the effectiveness of the controllers designed in this paper.…”

Section: Simulation and Experimentsmentioning

confidence: 99%

“…Jin and Zhang [22] designed a fuzzy controller with minimum energy consumption based on an improved genetic algorithm to reduce the roll motion at zero speed. Jin and Wang [23] proposed a variant constraint model predictive controller to control the fins, however, the lift constraint and special working method limit its roll reduction effect. Song and Liang [24] designed a zero-speed fin stabilizer controller based on radial basis function and general regression neural network.…”

Section: Introductionmentioning

confidence: 99%

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Simulation and experimental study on control strategy of zero-speed fin stabilizer based on disturbance and compensation

et al. 2018

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Zero-speed fin stabilizer is applied to reduce the roll motion of ships at zero speed. This paper aims to explore the control strategy of zero-speed fin stabilizer through a composite method of theoretical analysis, simulations and tank tests. The hydrodynamic force model is established using analytical approach and a simplified model is obtained by fitting the CFD simulation data. The control strategy of zero-speed fin stabilizer is obtained based on disturbance and compensation by analyzing the phase matching relationship between the wave disturbance, the roll motion of the ship, the movement of the fin and the fin-induced hydrodynamic force. Simulations and water tank tests are performed to verify the effectiveness and feasibility of the obtained control strategies. The results of simulations and tank tests show that the obtained control strategies of zero-speed fin stabilizer based on disturbance and compensation are effective and practical. The proposed method provides theoretical and experimental support for engineering application, and can also be a reference for the controller design of zero-speed fin stabilizers.

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Section: System Modeling and Controller Designmentioning

confidence: 99%

Section: Simulation and Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Simulation and experimental study on control strategy of zero-speed fin stabilizer based on disturbance and compensation

et al. 2018

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“…Considering special working pattern of zero-speed fin stabilizer, force analysis during normal working of fin commits to category of unsteady flow problem [7]. When zerospeed fin stabilizer flaps in perfect or nonperfect fluid, lift generated on the fin can be analyzed by using potential theory and vortex action theory instead of fix wing theory [8]. Through relevant deduction, lift model of zero-speed fin stabilizer can be described as…”

Section: Roll Stabilizing Principle Of Auv With Low Speedmentioning

confidence: 99%

Active Disturbance Rejection Fuzzy Controller for Roll Stabilization of Autonomous Underwater Vehicle under Wave Disturbance

Wang

Pan

et al. 2015

Discrete Dynamics in Nature and Society

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Considering the case of autonomous underwater vehicle navigating with low speed near water surface, a new method for designing of roll motion controller is proposed in order to restrain wave disturbance effectively and improve roll stabilizing performance under different sea conditions. Active disturbance rejection fuzzy control is applied, which is based on nonlinear motion model of autonomous underwater vehicle and the principle of zero-speed fin stabilizer. Extended state observer is used for estimation of roll motion state and unknown wave disturbance. Wave moment is counteracted by introducing compensation term into the roll control law which is founded on nonlinear feedback. Fuzzy reasoning is used for parameter adjustment of the controller online. Simulation experiments on roll motion are conducted under different sea conditions, and the results show better robustness improved by active disturbance rejection fuzzy controller of autonomous underwater vehicle navigating near water surface.Hindawi Publishing Corporation

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RBF neural network compensation-based adaptive control for lift-feedback system of ship fin stabilizers to improve anti-rolling effect

2018

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Design a Two-step Master-slave Control Law for Zero-speed Fin Stabilizers

Cited by 4 publications

References 7 publications

Simulation and experimental study on control strategy of zero-speed fin stabilizer based on disturbance and compensation

Simulation and experimental study on control strategy of zero-speed fin stabilizer based on disturbance and compensation

Active Disturbance Rejection Fuzzy Controller for Roll Stabilization of Autonomous Underwater Vehicle under Wave Disturbance

RBF neural network compensation-based adaptive control for lift-feedback system of ship fin stabilizers to improve anti-rolling effect

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