The Ship's Mathematic Motion Models of Altering Course to Avoid Collision Based on the Optimization of Genetic Algorithm

被引:0
|
作者
Fang Cheng [1 ,2 ]
Deng Hua [3 ]
机构
[1] Dalian Maritime Univ, Dalian 116000, Peoples R China
[2] Zhejiang Inst Commun, Hangzhou 311112, Zhejiang, Peoples R China
[3] Jiangsu Maritime Inst, Nanjing 211100, Jiangsu, Peoples R China
关键词
genetic algorithm; nonlinear sliding mode control; alter course to avoid collision;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
From the nonlinear ship maneuvering motion mathematical model and geometric plotting point of view, This paper optimizes the parameters of ship mathematic model by using genetic algorithm in the ship automatic steering nonlinear sliding mode control, establishes the ship's mathematic motion models of altering course to avoid collision based on genetic algorithm, and be tested in the simulation platform by MATALB, the result is consistent with the practice for preventing collision at sea.
引用
收藏
页码:6364 / 6367
页数:4
相关论文
共 50 条
  • [41] An Investigation of A Ship's Course Sliding-Mode Control Based on Affine Nonlinear Models
    Ye, Zhuohang
    Mao, Xiaobing
    Song, Kai
    CONFERENCE PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2019, : 357 - 361
  • [42] Research on the motion trajectory optimization method based on the improved genetic algorithm for an intelligent vehicle
    Li, Aijuan
    Zhao, Wanzhong
    Li, Shunming
    Qiu, Xuyun
    Wang, Xibo
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2016, 230 (13) : 1729 - 1740
  • [43] An efficient optimization approach for designing machine learning models based on genetic algorithm
    Hamdia, Khader M.
    Zhuang, Xiaoying
    Rabczuk, Timon
    NEURAL COMPUTING & APPLICATIONS, 2021, 33 (06): : 1923 - 1933
  • [44] An efficient optimization approach for designing machine learning models based on genetic algorithm
    Khader M. Hamdia
    Xiaoying Zhuang
    Timon Rabczuk
    Neural Computing and Applications, 2021, 33 : 1923 - 1933
  • [45] A novel cooperative optimization method of course and speed for wing-diesel hybrid ship based on improved A* algorithm
    Wang, Cong
    Huang, Lianzhong
    Ma, Ranqi
    Wang, Kai
    Sheng, Jinlu
    Ruan, Zhang
    Hua, Yu
    Zhang, Rui
    OCEAN ENGINEERING, 2024, 302
  • [46] Research of motion resolving and filtering algorithm of a ship's three-freedom motion simulation platform based on LabVIEW
    Wang, X. F.
    Zhao, X. R.
    Yang, X. J.
    4th International Symposium on Instrumentation Science and Technology (ISIST' 2006), 2006, 48 : 149 - 153
  • [47] Large surface combat ship stern wedge optimization design for the resistance reduction based on the genetic algorithm
    Lu, Xiaoping
    Jiang, Jie
    Wang, Peng
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2012, 33 (10): : 1211 - 1216
  • [48] Multicriteria Ship Route Planning Method Based on Improved Particle Swarm Optimization-Genetic Algorithm
    Zhao, Wei
    Wang, Yan
    Zhang, Zhanshuo
    Wang, Hongbo
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (04)
  • [49] An algorithm of parameter optimization for generalized T-S model based on genetic algorithm
    Li, HS
    Mao, JQ
    Dai, JY
    2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE, 2001, : D136 - D141
  • [50] Ship Motion Planning for MASS Based on a Multi-Objective Optimization HA* Algorithm in Complex Navigation Conditions
    Wu, Meiyi
    Zhang, Anmin
    Gao, Miao
    Zhang, Jiali
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 9 (10)