Maneuvering simulations of twin-propeller and twin-rudder ship in shallow water using equivalent single rudder model

Okuda, R.; Yasukawa, Hironori; Sano, Mitsuru; Hirata, Noritaka; Yoshimura, Y.; Furukawa, Yoshitaka; Matsuda, Akihiko

doi:10.1007/s00773-022-00881-x

Cited by 10 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are three types of turbulent k-ε models for the fluid, which are the STANDARD model, the RNG model and the Realizable model. Considering the disturbance of seawater by the propeller, the rotation of the fluid and the disturbance of the rotating flow conditions on the results need to be calculated, so the Reynolds-averaged Navier-Stokes equations (RNG k-ε) are used in this paper [7][8][9] :…”

Section: Turbulence K-ε Modelsmentioning

confidence: 99%

Simulation and analysis of ship rudder blade force based on finite element method

Li,

Yang,

Wang

et al. 2024

Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023)

View full text Add to dashboard Cite

To analyze the force situation of ship rudder blades in water, a simulation model of a certain ship rudder blade was established using simulation software, and boundary conditions were set and calculated. The results show that the fluid velocity, pressure, and stress distribution around the rudder blade vary under different operating rudder angles. On the upstream side of the rudder blade, the fluid velocity is small and the pressure is high, while on the downstream side, the fluid velocity is small and the pressure is moderate. The lowest point of fluid pressure is about 7.6m forward along the arc length from the tail. When the steering angle is greater than 15°, the fluid pressure drops to negative pressure. Therefore, it is necessary to minimize the steering angle as much as possible. Further analysis reveals that the maximum stress in the rudder blade occurs at the junction of the rudder support seat and the rudder shaft, and as the rudder angle increases, the maximum stress shows a trend of first increasing and then decreasing.

show abstract

Section: Turbulence K-ε Modelsmentioning

confidence: 99%

Simulation and analysis of ship rudder blade force based on finite element method

Li,

Yang,

Wang

et al. 2024

Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023)

View full text Add to dashboard Cite

show abstract

“…where X P , Y P , and N P represent the forward force, lateral force, and yawing force produced by the propulsion propellers; X H , Y H , N H are other external forces in each direction; m and I z denote the mass and moment of inertia of the vessel; and m x , m y , J z represent additional mass and additional moments of inertia along the x and y axes, respectively. These calculation methods were obtained from the literature [18].…”

Section: The Propeller Characteristics Model Of a Rudderless Dual-pms...mentioning

confidence: 99%

“…According to Equation (18), it can be observed that the reconstructed integrated error input e ′ in was composed of the motor's self-error (e A or e B ) and self-error difference e A − e B . In this case, the coupling deviation transforms into the self-error difference e A − e B .…”

Section: Variable Error Difference Compensation-coupling Control Stra...mentioning

confidence: 99%

Research on Speed Cooperative Control Strategy for Rudderless Dual-PMSM Propulsion Ships

Zhou,

Geng,

Cao

et al. 2024

JMSE

View full text Add to dashboard Cite

In the navigation of rudderless dual-motor propulsion ships, it is often necessary for the dual motor to run stably at different given speeds. However, the existing coupling strategies cannot achieve precise cooperative control of the dual motor under different given commands. Therefore, in this study, we proposed a variable error difference compensation-coupling control (VEDC-CC) strategy. Simultaneously, a coupling compensation coefficient determination method based on the self-error difference of the dual motor was introduced. The VEDC-CC utilizes the self-error difference of the dual motor as the input for the coupling compensation controller, which enables the mutual coupling of self-errors, and effectively improves the cooperative controlling performance under different given commands. Moreover, the employed variable compensation coefficient determination method enhances the disturbance coupling performance and the response speed of the system. In this study, we analyzed the different navigation conditions and dual-propeller load characteristics of a rudderless dual-motor propulsion ship. Taking a rudderless dual-motor propulsion ship designed based on the cruise ship “Feng Hua Xue Yue” as the object, the VEDC-CC strategy was validated through simulation tests, considering the propeller load characteristics and actual operating conditions. The experimental results demonstrated that the VEDC-CC strategy could meet the practical control needs of the target ship.

show abstract

“…9 In these methods, the hull-propeller-rudder interaction coefficients and hydrodynamic derivatives are used as critical parameters that represent original ship features. Common parameter determination tools include: the empirical method by Xu et al, 10 the captive model test method of Okuda et al, 11 Computational Fluid Dynamics (CFD) modelling methods such as the one by Lu et al, 12 as well as system identification approaches, for example, Ramirez et al 13 Their application is extremely useful for ship manoeuvring simulations at the ship design stage. However, they fail to present a unified and convincing prediction of ship motions under environmental conditions in real-time.…”

Section: Introductionmentioning

confidence: 99%

A deep learning method for the prediction of 6-DoF ship motions in real conditions

Zhang

Taimuri

Xin

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part M:

View full text Add to dashboard Cite

This paper presents a deep learning method for the prediction of ship motions in 6 Degrees of Freedom (DoF). Big data streams of Automatic Identification System (AIS), now-cast, and bathymetry records are used to extract motion trajectories and idealise environmental conditions. A rapid Fluid-Structure Interaction (FSI) model is used to generate ship motions that account for the influence of surrounding water and ship-controlling devices. A transformer neural network that accounts for the influence of operational conditions on ship dynamics is validated by learning the data streams corresponding to ship voyages and hydro-meteorological conditions between two ports in the Gulf of Finland. Predictions for a ship turning circle and motion dynamics between these two ports show that the proposed method can capture the influence of operational conditions on seakeeping and manoeuvring.

show abstract

Maneuvering simulations of twin-propeller and twin-rudder ship in shallow water using equivalent single rudder model

Cited by 10 publications

References 15 publications

Simulation and analysis of ship rudder blade force based on finite element method

Simulation and analysis of ship rudder blade force based on finite element method

Research on Speed Cooperative Control Strategy for Rudderless Dual-PMSM Propulsion Ships

A deep learning method for the prediction of 6-DoF ship motions in real conditions

Contact Info

Product

Resources

About