Ship maneuvering prediction based on virtual captive model test and system dynamics approaches

Du, Peng; Cheng, Lu; Tang, Zi-jian; Ouahsine, Abdellatif; Hu, Haibao; Hoarau, Yannick

doi:10.1007/s42241-022-0029-0

Cited by 10 publications

(3 citation statements)

References 22 publications

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“…A variety of techniques regarding parameter estimation of vessel dynamic models, which are also applicable for the response model issue, have been studied [6,[9][10][11][12][13], and can be classified into three typical techniques, i.e., the captive model tests technique [12], the computational fluid dynamics (CFD) based method [11,13], the system identification with full-scale model trails, and free-running tests including parametric and non-parametric tricks [6,10]. The captive model tests technique can be applied with the requirement of a set of large facilities and professional operators.…”

Section: Related Workmentioning

confidence: 99%

Extended State Observer-Based Parameter Identification of Response Model for Autonomous Vessels

Zhu

Sun²,

Wen

et al. 2022

JMSE

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Identification of parameters involved in the linear response model with high precision is a highly cost-effective, as well as a challenging task, in developing a suitable model for the verification and validation (V+V) of some key techniques for autonomous vessels in the virtual testbed, e.g., guidance, navigation, and control (GNC). In order to deal with this identification problem, a novel identification framework is proposed in this paper by introducing the extended state observer (ESO), and the well-evaluated robust weighted least square support vector regression algorithm (RW-LSSVR). A second-order linear response model is investigated in this study due to its wide use in controller designs. Considering the highly possible situation that only limited states could be measured directly, the required but immeasurable states in identifying parameters contained in the response model are approximately estimated by the ESO. Theoretical analysis of the stability is given to show and improve the applicability of the ESO. Simulation studies based on linear response models with predefined parameter values of a cargo vessel and a patrol vessel maneuvering in an open water area are carried out, respectively. Results show that the proposed approach not only estimates immeasurable states with high accuracy but also ensures good performance on the parameter identification of the response model with very close values to the nominal ones. The proven identified approach is economic because it only requires limited kinds of low-cost sensors.

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Section: Related Workmentioning

confidence: 99%

Extended State Observer-Based Parameter Identification of Response Model for Autonomous Vessels

Zhu

Sun²,

Wen

et al. 2022

JMSE

View full text Add to dashboard Cite

show abstract

“…Some of the disadvantages of these techniques are the high computational costs when dealing with complex configurations, and the constant and rapid development of new numerical methods and simulation paradigms. Numerous investigations in the open literature have employed CFD simulations to rigorously examine surface ships, focusing on the extrapolation of hydrodynamic coefficients, contributing to a comprehensive understanding of the intricate fluid dynamics governing the behaviour of such vessels (see among others [27]), while as mentioned before, there is a difficulty in finding detailed investigations regarding the manoeuvrability of submarines. The aim of the current study is to explore the reliability of CFD predictions, through a systematic comparison with the available measurements, to feed the semi-empirical models of manoeuvrability of submarines usually adopted at the earlier stage of the design cycle as it is hard to find in the literature a full experimental campaign that has been simulated for different geometry configurations and different pitch and drift angles.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Numerical Captive Model Tests for Underwater Vehicles: The DARPA SUB-OFF Test Case

Zheku,

Villa,

Piaggio

et al. 2023

JMSE

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During the early design stage of an underwater vehicle, the correct assessment of its manoeuvrability is a crucial task. Conducting experimental tests still has high costs, especially when dealing with small vehicles characterized by low available budget. In the current investigation, virtual towing tank tests are simulated using the open-source OpenFOAM library in order to assess the reliability of CFD methods for the prediction of hydrodynamic forces and moments. A well-known case study, the Defence Advanced Research Projects Agency (DARPA) SUB-OFF model, is used, and the outcomes are compared to the experimental results available in the literature. Five different configurations are investigated for pure drift tests, rudder tests and pure rotation in both vertical and horizontal plane. The results show an overall good agreement with the experimental data with a quite low demanding mesh arrangement of 3M cells, a favourable balance between accuracy and computational time. In more detail, the expected error in the most significant forces during manoeuvres is less than 2% for the fully appended configuration (the submarine real operative condition), whereas the accuracy is moderately reduced for the barehull configuration (a case not representative of a real hull) with an expected error of 15%. A possible reason for the differences observed could be attributed to the description of the two streamwise vortices generated when manoeuvring. Apart from the lateral force and yaw moment, the results of the longitudinal force are also presented, having a greater disparity when compared to the experimental data. Nevertheless, the longitudinal force has no important role for the purpose of making stability and control predictions. The study contributes to the validation and consolidation of CFD methods, offering insights into their accuracy and limitations for practical applications in underwater vehicles.

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“…The nonlinear manoeuvring models are typically used in simulators of marine ships, such as the Abkowitz model [14,15] and its revised version [16][17][18][19], the MMG model [20][21][22], and the vectorial model [23][24][25]. The manoeuvring model is based on a set of equations that consider various factors affecting a ship's turning performance.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Parameter Estimation of Nonlinear Ship Manoeuvring Model in Shallow Water Using Truncated Least Squares Support Vector Machines

Xu,

Guedes Soares

2023

JMSE

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A data-driven method, the truncated LS-SVM, is proposed for estimating the nondimensional hydrodynamic coefficients of a nonlinear manoeuvring model. Experimental data collected in a shallow water towing tank are utilized in this study. To assess the accuracy and robustness of the truncated LS-SVM method, different test data sizes are selected as the training set. The identified nondimensional hydrodynamic coefficients are presented, as well as the corresponding parameter uncertainty and confidence intervals. The validation is carried out using the reference data, and statistical measures, such as the correlation coefficient, centred RMS difference, and standard deviation are employed to quantify the similarity. The results demonstrate that the truncated LS-SVM method effectively models the hydrodynamic force prediction problems with a large training set, reducing parameter uncertainty and yielding more convincing results.

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Ship maneuvering prediction based on virtual captive model test and system dynamics approaches

Cited by 10 publications

References 22 publications

Extended State Observer-Based Parameter Identification of Response Model for Autonomous Vessels

Extended State Observer-Based Parameter Identification of Response Model for Autonomous Vessels

Assessment of Numerical Captive Model Tests for Underwater Vehicles: The DARPA SUB-OFF Test Case

Data-Driven Parameter Estimation of Nonlinear Ship Manoeuvring Model in Shallow Water Using Truncated Least Squares Support Vector Machines

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