4.7 Article

Identification modeling of ship nonlinear motion based on nonlinear innovation

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Nonlinear Identification for 4-DOF Ship Maneuvering Modeling via Full-Scale Trial Data

Chunyu Song et al.

Summary: This research presents a 4-DOF ship maneuvering modeling based on full-scale trial data and proposes a new multi-innovation least squares algorithm for identifying nonlinear innovations in ship maneuvering motion. The design scheme shows significant computational advantages, higher accuracy, and faster identification speed.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2022)

Article Engineering, Marine

On neural network identification for low-speed ship maneuvering model

Kouki Wakita et al.

Summary: This study proposes a system identification method for generating a low-speed maneuvering model using recurrent neural networks (RNNs) and free running model tests. The aim is to achieve automatic berthing control. By reducing the impact of noise in the training data and conducting manual random maneuver tests, an accurate berthing maneuver model was obtained. The experimental results demonstrate that the proposed method using a neural network model accurately represents low-speed maneuvering motions.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2022)

Article Engineering, Marine

Modified grey wolf optimizer-based support vector regression for ship maneuvering identification with full-scale trial

Xiufeng Zhang et al.

Summary: This study introduces a modified grey wolf optimizer algorithm to address the difficulty in setting support vector regression hyperparameters, achieving high precision prediction of ship motion state variables. The algorithm demonstrates good generalization ability and robustness, with advantages of smaller prediction errors and fewer iterations compared to other algorithms.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2022)

Article Engineering, Marine

Course keeping control strategy for large oil tankers based on nonlinear feedback of swish function

Shihang Gao et al.

Summary: A simple control strategy is proposed in this study to address the course instability and energy consumption issues of large oil tankers. The theoretical analysis and simulation experiments demonstrated that the control effect is satisfactory and has certain engineering practical significance.

OCEAN ENGINEERING (2022)

Article Engineering, Marine

Parameter identification of ship motion mathematical model based on full-scale trial data

Yao Meng et al.

Summary: This study proposes a parameter identification scheme, combining Support Vector Regression (SVR) with modified grey wolf optimizer (MGWO), for identifying ship motion model using full-scale trial data. The response mathematical model and 4 Degrees of Freedom (DOF) nonlinear whole-ship mathematical model of vessel YUKUN are established. The rough parameters reference values of the ship models are obtained through SVR and further optimized using MGWO algorithm and Firefly Algorithm. The final prediction results show that MGWO algorithm has strong search and optimization ability, providing accurate parameter values for ship motion mathematical model within a given range.

INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING (2022)

Article Engineering, Marine

Identification modeling and prediction of ship maneuvering motion based on LSTM deep neural network

Yan Jiang et al.

Summary: This paper introduces a novel system identification scheme to obtain a MIMO model of ship maneuvering motion using LSTM deep neural network, which shows better generalization performance and robustness to noise. The study successfully demonstrates the mapping between ship motion dynamics and LSTM computation, and establishes an equivalent model with improved accuracy in predicting ship maneuvering motion.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2022)

Article Engineering, Marine

A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation

Baigang Zhao et al.

Journal of Marine Science and Engineering (2022)

Article Engineering, Marine

Parameter identification of ship manoeuvring model under disturbance using support vector machine method

Tongtong Wang et al.

Summary: This paper completes the identification procedure for a 3 degree of freedom hydrodynamic model under disturbance using support vector machine with multiple manoeuvres datasets, showing good fitness with the clean ship model. Experimental results indicate that models identified in gentle and moderate environments have less than 10% deviations and are considered acceptable.

SHIPS AND OFFSHORE STRUCTURES (2021)

Article Engineering, Marine

Active disturbance rejection control of ship course keeping based on nonlinear feedback and ZOH component

Hugan Zhang et al.

Summary: An active disturbance rejection control algorithm based on nonlinear feedback is proposed to solve the problems of external disturbance, internal model uncertainty, and excessive rudder angle energy input in ship course keeping. By estimating external disturbance and internal uncertainty, controlling ship course, and reducing rudder frequency and wear with a nonlinear feedback and Zero Order Holder, the proposed algorithm shows a good tracking effect in simulation and is more secure and energy-saving in severe sea conditions.

OCEAN ENGINEERING (2021)

Article Engineering, Marine

Identification and Prediction of Ship Maneuvering Motion Based on a Gaussian Process with Uncertainty Propagation

Yifan Xue et al.

Summary: This study focuses on identifying ship maneuvering systems using Gaussian processes and proposes a moment-matching-based approach to address the issue of uncertainty propagation in Gaussian processes. The results show that the identified model is accurate and exhibits good generalization performance, while the uncertainty of ship motion prediction is well considered.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)

Article Transportation Science & Technology

Improved parameter identification algorithm for ship model based on nonlinear innovation decorated by sigmoid function

Xianku Zhang et al.

Summary: The paper presents a method for parameter identification of ship nonlinear models with small test data, improving accuracy through an enhanced stochastic gradient algorithm and comparing with other algorithms. Simulation results demonstrate the effectiveness of the proposed algorithm, which is further validated on another ship.

TRANSPORTATION SAFETY AND ENVIRONMENT (2021)

Article Engineering, Marine

Parameter identification of ship motion model based on multi-innovation methods

Shuo Xie et al.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2020)

Article Engineering, Marine

Identification of ship manoeuvring motion based on nu-support vector machine

Zihao Wang et al.

OCEAN ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Three dimensional path planning using Grey wolf optimizer for UAVs

Ram Kishan Dewangan et al.

APPLIED INTELLIGENCE (2019)

Article Engineering, Marine

SHIP MANEUVERING PREDICTION USING GREY BOX FRAMEWORK VIA ADAPTIVE RM-SVM WITH MINOR RUDDER

Bin Mei et al.

POLISH MARITIME RESEARCH (2019)

Article Engineering, Marine

Design of Ship Course-Keeping Autopilot using a Sine Function-Based Nonlinear Feedback Technique

Xian-ku Zhang et al.

JOURNAL OF NAVIGATION (2016)

Article Engineering, Ocean

Parameter Identification of Ship Maneuvering Model Based on Support Vector Machines and Particle Swarm Optimization

Weilin Luo et al.

JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME (2016)

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

Article Automation & Control Systems

Multiinnovation Least-Squares Identification for System Modeling

Feng Ding et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2010)