Article
Automation & Control Systems
Xuelin Zhang, Xiaobin Xu, Jianning Li, Yang Luo, Guodong Wang, Georg Brunauer, Schahram Dustdar
Summary: In this study, an observer-based H-infinity fuzzy fault-tolerant switching control method is proposed to enhance the robustness of ship autopilot systems. The method considers the nonlinear dynamics, unmeasured states, and unknown steering machine faults. It uses virtual fuzzy observers to estimate the unmeasured states and faults, and compensates for the faulty system. The method also incorporates a smoothed Z-score-based fault detection and alarm mechanism for controller switching.
Article
Energy & Fuels
Zenon Zwierzewicz, Lech Dorobczynski, Jaroslaw Artyszuk
Summary: This paper introduces a new methodology - Active Disturbance Rejection Control (ADRC) for designing an automatic ship's course stabilisation system. The ADRC approach eliminates the tuning problem and ensures better performance of the ship in various conditions compared to classic autopilots based on PID algorithms.
Article
Engineering, Marine
Xuelin Zhang, Xiaobin Xu, Jianning Li, Feng Ma, Yangjie Chen, Xiaojian Xu, Meiyan Shen
Summary: This paper investigates the switching control of ship course-keeping autopilot with steering machine bias failure and presents a method that includes the establishment of a model, the design of controllers and a fault observer, as well as the utilization of a fault alarm. MATLAB simulation experiments demonstrate the effectiveness of the proposed method.
Article
Engineering, Marine
Wei Guan, Haowen Peng, Xianku Zhang, Hui Sun
Summary: This paper focuses on the design of the motion control module for marine autonomous surface vessels (MASS) to improve the accuracy and reliability of ship steering control systems. The proposed adaptive robust ship steering controller based on a closed-loop gain shaping (CGS) scheme and an extended Kalman filter (EKF) online identification method outperforms classical PD and traditional CGS controllers in terms of dynamic response performance.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Liyan Zhu, Tieshan Li
Summary: This paper develops an autopilot heading control scheme based on a fuzzy state observer to track the prescribed function while approximating unknown uncertainties and obtaining unknown yaw rate. By utilizing performance function and tracking error transformation techniques, the heading tracking error can converge to prescribed performance bounds, saving more resources effectively.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Automation & Control Systems
Yuh Yamashita, Kiminori Sakano, Koichi Kobayashi
Summary: This study proposes a novel stabilizing controller for nonlinear systems using group-wise sparse inputs. The controller improves energy efficiency and can be applied to large-scale systems, with best-effort property.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Engineering, Marine
Zi-Lu Ouyang, Zao-Jian Zou, Lu Zou
Summary: This paper investigates the nonparametric modeling and control of ship steering motion. A black box response model is derived based on the Nomoto model. The local Gaussian process regression (LGPR) algorithm is applied to establish a nonparametric response model and predict the ship steering motion. The performance of LGPR is assessed using simulation and experimental data. The results show that the identified response model by LGPR has good prediction accuracy and low computational burden. A ship heading controller is developed based on the identified response model, which demonstrates good dynamic performance.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Xiaolong Tang, Changjie Wu, Xiaoyan Xu
Summary: This paper proposes a learning-based model predictive controller (LB-MPC) for the position control of an electro-hydraulic cylinder system, and adopts Gaussian process to reduce the influence of model mismatch on the uncertainty of the system.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Marine
Tung Thanh Le
Summary: This paper investigates the application of artificial neural network in ship course control systems, proposing a two-multilayered feed-forward neural network course control system and evaluating its performance and stability in different conditions through simulation.
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Marine
Wenxin Wang, Cheng Liu
Summary: This article proposes an efficient ship autopilot control design based on projection neural network to address the challenges of large inertia, strong nonlinearity, and external disturbances in ship motion control at sea, while considering constrained control input. By optimizing the objective function formulated by traditional model predictive control method using parallel computation, the computational efficiency is improved.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT
(2021)
Article
Engineering, Electrical & Electronic
Hei-Pei Yu, Minyi Wang, Jiaqianhao Yang, Jing-Jing Xiong
Summary: In this paper, a parallel-structure-based sliding mode control (PSMC) method is proposed to address the problem of incomplete yaw angle working range in a class of sliding mode control for quadrotor unmanned aerial vehicle (UAV). The controller design is based on the dynamic model of the quadrotor UAV, which is considered to be composed of fully actuated and underactuated subsystems. The stability of the sliding mode manifold coefficients is analyzed using the Hurwitz stability analysis, and the stabilities of both subsystems are demonstrated using Lyapunov theory. Comparative simulation results show that the PSMC improves the working range of yaw angle and validates the effectiveness of the proposed control method.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2023)
Article
Automation & Control Systems
Miriam Steinherr Zazo, Jens D. M. Rademacher
Summary: We investigate a widely used model for ship maneuvering, which involves nonlinearity with continuous but nonsmooth second-order modulus terms. Using an analytical approach, we determine the local bifurcation characteristics of straight motion stabilized by standard proportional control. We find that "safe supercritical Andronov-Hopf bifurcations are typical" and provide a global bifurcation analysis by numerical continuation to identify the arrangement and relative location of stable and unstable equilibria and periodic orbits.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2023)
Article
Engineering, Marine
Yang Liu, Nam-kyun Im, Qiang Zhang, Guibing Zhu
Summary: This paper investigates the automatic berthing problem of underactuated surface vessels in the case of uncertain dynamics and yaw rate limitation. It proposes the use of differential homeomorphism coordinate transformation, radial basis function network, and barrier Lyapunov function to solve the underactuation problem. It also applies dynamic surface control technology and minimum learning parameters to tackle differential explosion problems and computational complexity. Simulation results show that the proposed method effectively limits the yaw rate and solves the influence of model uncertainty.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Review
Engineering, Mechanical
Die Hu, Yuzhe Qian, Yongchun Fang, Yuzhu Chen
Summary: This study established the dynamic model of dual ship-mounted crane systems based on Lagrange's method, and developed two energy-based nonlinear controllers. The controllers considered saturation constraints and achieved accurate positioning and effective elimination of payload swing. The stability of the system was analyzed using Lyapunov techniques and Lasalle's invariance principle.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Marine
Zhipeng Shen, Qun Wang, Sheng Dong, Haomiao Yu
Summary: In this paper, a novel dynamic surface control scheme is proposed for trajectory tracking of unmanned surface vessel. The proposed scheme considers model uncertainties, unknown nonlinear disturbances, and full state and input constraints. The effectiveness of the control protocol is validated through simulations.
Article
Engineering, Marine
H. S. Abdelwahab, C. Guedes Soares
Summary: This paper presents the uncertainty modelling of experimental results for a physical model of a tanker moored to a terminal inside a port. The aim of the study is to obtain novel results for wave elevation, ship motions, and loads on mooring lines and fenders. The presented physical model study shows that the results can replicate waves and motions with uncertainties less than 9% of the significant amplitudes.
Article
Engineering, Marine
Depeng Liu, Shangmao Ai, Liping Sun, C. Guedes Soares
Summary: A novel structural dynamics model is proposed for the lowering process of a J-lay pipeline, which combines the absolute nodal coordinate formula with the arbitrary Lagrangian-Eulerian description. The material transport boundary and mesh scheme are validated through a pendulum example. A coupled analysis program is developed to study J-lay deployment by a vessel, considering the tensioner as a damper. The lowering process significantly impacts the dynamic characteristics of the touch-down zone.
Article
Engineering, Marine
Albena Veltcheva, C. Guedes Soares
Summary: The time series of wave-induced ship responses are analyzed using the Hilbert-Huang Transform (HHT) method. The results of analyzing numerically simulated motions and loads on a chemical tanker in head waves are compared with experimental data from laboratory model tests. The Empirical Mode Decomposition, a part of the HHT method, is applied to the sea surface elevations and wave-induced vertical motions and bending moments, with good agreement between experimental and numerical data.
Article
Engineering, Marine
Zhiyou Cheng, Yihao Zhang, Bing Wu, Guedes Soares
Summary: This study derives the basic mode of constrained crossing scenarios of a ship and traces the collision risks using the traffic conflict technique. It proposes a fuzzy logic model to estimate the adaptabilities of crossing gaps and assesses ship collision risks in different crossing opportunities. The proposed model can be applied in various crossing scenarios and operating conditions, providing effective support for intelligent ship navigation.
Article
Engineering, Marine
Huidong Zhang, Xinmei Liao, Zhongxu Xin, Hongda Shi, Guedes Soares
Summary: This article experimentally studies the dynamic pressure under wave crests in three scenarios and reveals the influence of nonlinearity and the dispersive effect. In regular waves, nonlinearity modifies the upper and lower sections of the dynamic pressure under the wave crests, with the boundary determined by the strength of nonlinearity. In irregular waves, the dynamic pressure is mainly affected by individual waves within the same wave group, and the dispersive effect dominates its variation, with a greater magnitude than in regular waves. Focused waves show noticeable discrepancies in dynamic pressure due to fundamentally different nonlinearities involved in the focusing process. Thus, the dominant nonlinearity and the dispersive effect must be considered for accurate evaluation of dynamic pressure under wave crests in the ocean.
Article
Engineering, Marine
Mina Tadros, Manuel Ventura, C. Guedes Soares
Summary: The study investigates the effects of hull and propeller roughness on ship performance using a combined NavCad and Matlab model. Different combinations of hull and propeller roughness are considered based on ITTC recommendations and expert opinions. The dominant effect is found to be the hull roughness due to its large area, but adding the effect of propeller roughness leads to 1-4% increase in loading ratio and 2-4% increase in fuel consumption. It is concluded that considering both hull and propeller roughness is important for more accurate results compared to considering hull roughness alone.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Arman Kakaie, C. Guedes Soares, Ahmad Kamal Ariffin, Wonsiri Punurai
Summary: This study investigates the fracture mechanics-based fatigue reliability analysis of a submarine pipeline using the Bayesian approach. The proposed framework allows for the estimation of submarine pipeline reliability based on limited experimental data. Bayesian updating method and Markov Chain Monte Carlo simulation are used to estimate the posterior distribution of parameters in a fracture mechanics-based fatigue model considering different uncertainties. The study evaluates failure load cycle distribution and reliability-based performance assessment of API 5L X56 submarine pipelines, and also examines the impact of various parameters on the reliability of the investigated submarine pipeline through sensitivity analysis. The approach used in this study can be applied for uncertainty modeling and fatigue reliability-based performance assessment of different types of submarine pipelines for maintenance and periodic inspection planning.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Lis M. R. Silva, He Li, C. Guedes Soares
Summary: Mixed-integer linear programming is used to translate the routing of service operation vessels for offshore floating wind farms maintenance into mathematical language. The models aim to provide decision-makers with quantified tools for optimal planning of preventive maintenance. By considering factors such as offshore base location, vessel routing, capacity, and fleet composition, the models minimize infrastructure cost. The integration of vehicle fleet size and mix, facility location-allocation, and vehicle-routing with time window improves the current state of the art.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
H. Diaz, C. Guedes Soares
Summary: This paper investigates the selection of an optimal port for offshore wind components storage and assembly to reduce transportation cost. The integrated multi-criteria decision method based on the Ranking Method and the Weighted Product Method is proposed. Twenty-one criteria are identified through data analysis and expert evaluation. Experts in the field evaluate the port selection criteria and establish a ranking to determine the best solution. The findings of this study could benefit port managers and marine transportation associations in improving port facilities and regulations.
Article
Engineering, Marine
Ravindra B. Kudupudi, Ranadev Datta, C. G. Soares
Summary: A 3D coupled method is used to model green water and study its effects on ship deck. Global vessel motions are obtained using impulse response function, while local hydrodynamic forces are computed using CFD solver and Volume of Fluid method. Results show that peak pressure due to green water increases with vessel speed but decreases with the increase of bow rake angle.
Article
Engineering, Marine
Mariana O. Costa, Ricardo M. Campos, C. Guedes Soares
Summary: Machine learning models trained with buoy data are used to develop deep neural networks for improving the quality of ERA5 wind speed and wave height data, with LSTM outperforming MLP significantly. Multiple metrics are used to evaluate the model performance.
Article
Engineering, Industrial
Joao P. S. Lima, F. Evangelista, C. Guedes Soares
Summary: The present study proposes a two-stage Bi-Fidelity Deep Neural Network surrogate model for uncertain structural analysis. This model efficiently reduces the computational cost for non-linear and high dimensional structural reliability problems. The framework is demonstrated using different examples and shows accurate estimation of failure probabilities with low computational cost.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Marine
Mohamed Hassan, C. Guedes Soares
Summary: This paper presents the performance of a new, floating, mono-hull wind turbine installation vessel (Nordic Wind) in the installation process. The vessel can transport pre-assembled wind turbines from the marshalling port to the offshore installation site. The primary difficulty lies in examining the multibody system's reactions when subjected to combined wind, current, and wave forces.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Industrial
Dawei Gao, Kai Huang, Yongsheng Zhu, Linbo Zhu, Ke Yan, Zhijun Ren, C. Guedes Soares
Summary: This paper proposes a semi-supervised fault diagnosis method through feature perturbation and decision fusion. To improve the generalization capability of the model, a dual correlation model is constructed, and the structural parameters are adjusted. The final fusion diagnosis is achieved by analyzing high-confidence samples.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Dawei Gao, Yongsheng Zhu, Ke Yan, C. Guedes Soares
Summary: This paper introduces a risk assessment framework based on the predictable Transformer network and clustering method, which addresses the issues of inaccurate indicator calculation and difficulty in training deep learning algorithms in traditional methods. The potential collision risk ships are first clustered using a clustering algorithm, and then the Transformer network is used to predict the possible future positions of ships. Finally, the collision risk for ship pairs and the regional collision risk are evaluated based on the predicted results.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Marine
Alba Ricondo, Laura Cagigal, Beatriz Perez-Diaz, Fernando J. Mendez
Summary: This research presents a site-specific metamodel based on the SWASH numerical model simulations, which can predict coastal hydrodynamic variables in a fast and efficient manner. The metamodel uses downscaled and dimensionality reduced synthetic database to accurately reproduce wave setup, wave heights associated with different frequency bands, and wave runup. This method has great potential in coastal risk assessments, early warning systems, and climate change projections.
Article
Engineering, Marine
Xiao Yu, Wangjun Ren, Bukui Zhou, Li Chen, Xiangyun Xu, Genmao Ren
Summary: This study investigated and compared the compression responses and energy absorption capacities of coral sand and silica sand at a strain rate of approximately 1000 s-1. The results showed that coral sand had significantly higher energy absorption capacity than silica sand due to its higher compressibility. The study findings suggest that using poorly graded coral sand can improve its energy absorption capacity.
Article
Engineering, Marine
Jingxi Zhang, Junmin Mou, Linying Chen, Pengfei Chen, Mengxia Li
Summary: This paper proposes a cooperative control scheme for ship formation tracking based on Model Predictive Control. A predictive observer is designed to estimate the current motion states of the leader ship using delayed motion information. Comparative simulations demonstrate the effectiveness and robustness of the proposed controller.
Article
Engineering, Marine
Yu Yao, Danni Zhong, Qijia Shi, Ji Wu, Jiangxia Li
Summary: This study proposes a 2DH numerical model based on Boussinesq equations to investigate the impact of dredging reef-flat sand on wave characteristics and wave-driven current. The model is verified through wave flume experiments and wave basin experiments, and the influences of incident wave conditions and pit morphological features on wave characteristics are examined.
Article
Engineering, Marine
Jayanta Shounda, Krishnendu Barman, Koustuv Debnath
Summary: This study investigates the double-average turbulence characteristics of combined wave-current flow over a rough bed with different spacing arrangements. The results show that a spacing ratio of p/r=4 offers the highest resistance to the flow, and the double-average Reynolds stress decreases throughout the flow depth. The advection of momentum-flux of normal stress shows an increase at the outer layer and a decrease near the bed region after wave imposition. Maximum turbulence kinetic energy production and diffusion occur at different layers. The turbulence structure is strongly anisotropic at the bottom region and near the outer layer, with a decrease in anisotropy observed with an increase in roughness spacing.
Article
Engineering, Marine
Meng Zhang, Lianghui Sun, Yaoguo Xie
Summary: The research proposes a method for online identification of wave bending and torsional moment in hull structures. For structures without large openings, the method optimizes sensor positions and establishes a mathematical model to improve accuracy. For structures with large openings, a joint dual-section monitoring method is proposed to simultaneously identify bending and torsional moments in multiple key cross sections.
Article
Engineering, Marine
Longming Chen, Shutao Li, Yeqing Chen, Dong Guo, Wanli Wei, Qiushi Yan
Summary: This study investigated the dynamic response characteristics and damage modes of pile wharves subjected to underwater explosions. The results showed that the main damaged components of the pile wharf were the piles, and inclined piles had a higher probability of moderate or more significant damage compared to vertical piles. The study also suggested that replacing inclined piles with alternative optimized structures benefits the blast resistance of pile wharves.
Article
Engineering, Marine
I. -C Kim, G. Ducrozet, V. Leroy, F. Bonnefoy, Y. Perignon, S. Bourguignon
Summary: Previous research focused on the accuracy and efficiency of short-term wave fields in specific prediction zones, while we developed algorithms for continuous wave prediction based on the practical prediction zone and discussed important time factors and strategies to reduce computational costs.
Article
Engineering, Marine
Hang Xie, Xianglin Dai, Fang Liu, Xinyu Liu
Summary: This study investigates the load characteristics of a three-dimensional stern model with pitch angle through a drop test, and reveals complex characteristics of pressure distribution near the stern shaft. The study also shows that the vibration characteristics of the load are influenced by the drop height and pitch angle, with the drop height having a greater effect on the high-frequency components.
Article
Engineering, Marine
Hangyuan Zhang, Wanli Yang, Dewen Liu, Xiaokun Geng, Wangyu Dai, Yuzhi Zhang
Summary: The deep-water bridge is more vulnerable to earthquake damage than the bridge standing in air. The larger blocking ratio has a significant impact on the added mass coefficient, which requires further comprehensive study. The generation mechanism of block effect is analyzed using numerical simulation software ANSYS Fluent. The results show that the recirculation zone with focus reduces the pressure on the back surface of the cylinder, resulting in the peak value of in-line force not occurring synchronously with the peak value of acceleration. The change in position and intensity of the recirculation zone with focus, as well as the change in water flow around the cylinder surface, are identified as the generation mechanism of the block effect, which has a 10% influence on the hydrodynamic force. The changing rule of the added mass coefficient with blocking ratio is discussed in detail, and a modification approach to the current added mass coefficient calculation method is suggested. Physical experiments are conducted to validate the modification approach, and the results show that it is accurate and can be used in further study and real practice.
Article
Engineering, Marine
Golnesa Karimi-Zindashti, Ozgur Kurc
Summary: This study examines the performance of an in-house code utilizing a deterministic vortex method on the rotation of circular and square cylinders. The results show that rotational motion reduces drag forces, suppresses fluctuating forces, and increases lift forces. The code accurately predicts vortex shedding suppression and identifies the emergence of near-field wakes in the flow over rotating square cylinders.
Article
Engineering, Marine
George Dafermos, George Zaraphonitis
Summary: The survivability of damaged ships is of great importance and the regulatory framework is constantly updated. The introduction of the probabilistic damage stability framework has rationalized the assessment procedure. Flooding simulation tools can be used to investigate the dynamic response of damaged ships.
Article
Engineering, Marine
Xuyue Chen, Xu Du, Chengkai Weng, Jin Yang, Deli Gao, Dongyu Su, Gan Wang
Summary: This paper proposes a real-time drilling parameters optimization method for offshore large-scale cluster extended reach drilling based on intelligent optimization algorithm and machine learning. By establishing a ROP model with long short-term memory neurons, and combining genetic algorithm, differential evolution algorithm, and particle swarm algorithm, the method achieves real-time optimization of drilling parameters and significantly improves the ROP.
Article
Engineering, Marine
Sung-Jae Kim, Chungkuk Jin, MooHyun Kim
Summary: This study investigates the dynamic behavior of a moored submerged floating tunnel (SFT) under tsunami-like waves through numerical simulations and sensitivity tests. The results show that design parameters significantly affect the dynamics of the SFT system and mooring tensions, with shorter-duration and higher-elevation tsunamis having a greater impact.
Article
Engineering, Marine
G. Clarindo, C. Guedes Soares
Summary: Environmental contours are constructed using the Inverse-First Order Reliability Method based on return periods. The paper proposes the use of the Burr distribution to model the marginal distribution of long-term significant wave heights. The newly implemented scheme results in different environmental contours compared to the reference approach.