Modified pid control design for roll fin actuator of nonlinear modelling of the fishing boat

Alarçïn, Fuat; Demirel, Hakan; Su, M. Ertugrul; Yurtseven, Ahmet

doi:10.2478/pomr-2014-0001

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…In this context, scholars of the ocean engineering community have proposed many effective anti-rolling methods, such as installing bilge keels [2], using a rudder for stabilization [3], adding an anti-rolling tank [4], installing anti-rolling fins [5], etc. The works [6,7] pointed out that a bilge keel can reduce the roll angle of the vessel by about 20%, an anti-rolling tank can reduce the roll by up to 50%, and a rudder can reduce the roll by about 60%. In contrast, a fin stabilizer has the best anti-roll effect, which can reach about 85-90%.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Neural Network Control of Zero-Speed Vessel Fin Stabilizer Based on Command Filter

2022

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This paper proposes a zero-speed vessel fin stabilizer adaptive neural network control strategy based on a command filter for the problem of large-angle rolling motion caused by adverse sea conditions when a vessel is at low speed down to zero. In order to avoid the adverse effects of the high-frequency part of the marine environment on the vessel rolling control system, a command filter is introduced in the design of the controller and a command filter backstepping control method is designed. An auxiliary dynamic system (ADS) is constructed to correct the feedback error caused by input saturation. Considering that the system has unknown internal parameters and unmodeled dynamics, and is affected by unknown disturbances from the outside, the neural network technology and nonlinear disturbance observer are fused in the proposed design, which not only combines the advantages of the two but also overcomes the limitations of the single technique itself. Through Lyapunov theoretical analysis, the stability of the control system is proved. Finally, the simulation results also verify the effectiveness of the control method.

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Section: Introductionmentioning

confidence: 99%

Adaptive Neural Network Control of Zero-Speed Vessel Fin Stabilizer Based on Command Filter

2022

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“…Su [9] reviewed the anti-rolling fin control system for ship stabilization. Alarcin et al [10] suggested the fin roll stabilizer system for a fishing ship. Kula [11] evaluated operational efficiency of roll stabilizers and examined applicability of advanced control methods for stabilizers.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Ahp and Electre Method for Selecting Stabilizing Device in Ship Industry

Demirel

Balın

Çelik

et al. 2018

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Roll stabilizer systems are studied for different types of ships by many researchers. It is well known that roll motion is caused by external disturbances (wave,wind etc) and large roll motion can cause capsizing easily. In addition, undesirable roll motion effect badly crew performance and passenger comfort. So, roll reduction has an important role for all types of ships. In our study, we proposed a fuzzy AHP (Analytic Hierarchy Process) and ELECTRE (Elemination and Choice Translating Reality English) method for selecting the most effective roll stabilizing system for a trawler type fishing vessel. Alternatives and criteria in relation to the stabilizers are determined by experts' experiences and literature review. This paper intends to give a comprehensive procedure for determining the most suitable roll motion stabilizing system of trawler for safety and efficiency fishing in the open literature.

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Design and experimental investigation of a GA-based control strategy for a low-speed fin stabilizer

et al. 2020

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Modified pid control design for roll fin actuator of nonlinear modelling of the fishing boat

Abstract: ABSTRACT

Cited by 4 publications

References 18 publications

Adaptive Neural Network Control of Zero-Speed Vessel Fin Stabilizer Based on Command Filter

Adaptive Neural Network Control of Zero-Speed Vessel Fin Stabilizer Based on Command Filter

A Fuzzy Ahp and Electre Method for Selecting Stabilizing Device in Ship Industry

Design and experimental investigation of a GA-based control strategy for a low-speed fin stabilizer

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