Fuzzy-based adaptive control method for automatic mooring systems

被引:0
|
作者
Shin, Haneul [1 ]
Seo, Daewon [2 ]
Park, Jihyuk [1 ]
机构
[1] Yeungnam Univ, Coll Mech & IT Engn, Dept Automot Engn, 280 Daehak Ro, Gyongsan 38541, Gyeongbuk, South Korea
[2] Gunsan Natl Univ, Dept Naval Architecture & Ocean Engn, 558 Daehak Ro, Gunsan Si 54150, Jeonbuk Do, South Korea
关键词
Fuzzy-based adaptive control; Automated mooring system; Time delay control; Cartesian robot manipulator; TIME-DELAY CONTROL; UNDERWATER VEHICLES; SLIDING MODE; DYNAMICS;
D O I
10.1016/j.oceaneng.2024.117623
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
An automatic mooring system is not only safer and more economical than a traditional mooring system with ropes but also significantly reduces the mooring time. In this paper, we propose an automatic mooring system designed to securely berth vessels entering a port, along with an efficient control method aimed at constraining vessel movement within a specific range. To assess the operational range and control performance of the proposed system in a marine environment, a dynamic analysis program was employed to create a simulator. The simulator incorporated a parallel structured Stewart platform to replicate the 6-DOF motion of a marine vessel. The proposed automatic mooring system controller regulates the position using a time -delay controller (TDC). TDC has proven to be excellent for effectively predicting system uncertainty and handling changes in system dynamics. However, given the unpredictable nature of extreme disturbances in marine environments, it is essential to adaptively modify the control parameters to ensure optimal performance. The method presented in this paper employs a fuzzy logic controller (FLC) to dynamically adjust the control parameters of the TDC, enabling effective adaptation to rapidly changing marine conditions, including waves and wind.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Flexible, adaptive, automatic fuzzy-based grade assigning system
    Wilson, E
    Karr, CL
    Freeman, LM
    1998 CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 1998, : 334 - 338
  • [2] Fuzzy-based adaptive bandwidth control for loss guarantees
    Siripongwutikorn, P
    Banerjee, S
    Tipper, D
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2005, 16 (05): : 1147 - 1162
  • [3] Adaptive fuzzy-based rate management and power control in multimedia CDMA cellular systems
    Chen, Young-Long
    Lin, Yung-Sheng
    Wang, Jyu-Wei
    Wen, Jyh-Horng
    COMPUTER COMMUNICATIONS, 2008, 31 (10) : 1901 - 1910
  • [4] Design of adaptive fuzzy-based tracking control of input time delay nonlinear systems
    Yousef, Hassan
    NONLINEAR DYNAMICS, 2015, 79 (01) : 417 - 426
  • [5] Design of adaptive fuzzy-based tracking control of input time delay nonlinear systems
    Hassan Yousef
    Nonlinear Dynamics, 2015, 79 : 417 - 426
  • [6] Nonlinear adaptive control based on fuzzy sliding mode technique and fuzzy-based compensator
    Nguyen, Sy Dzung
    Vo, Hoang Duy
    Seo, Tae-Il
    ISA TRANSACTIONS, 2017, 70 : 309 - 321
  • [7] A Fuzzy-Based Modified Gain Adaptive Scheme for Model Reference Adaptive Control
    Pal, A. K.
    Naskar, Indrajit
    Paul, Sampa
    INFORMATION AND DECISION SCIENCES, 2018, 701 : 315 - 324
  • [8] Adaptive fuzzy-based power control and transmission rate management in multimedia CDMA cellular systems
    Chen, Young-Long
    Lin, Yung-Sheng
    Wang, Jyu-Wei
    Wen, Jyh-Horng
    IASTED INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND EMERGING TECHNOLOGIES, 2005, : 111 - 116
  • [9] Adaptive fuzzy-based tracking control for nonlinear SISO systems via VSS and H∞ approaches
    Chang, YC
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2001, 9 (02) : 278 - 292
  • [10] FUZZY-BASED ADAPTIVE MODEL PREDICTIVE CONTROL FOR DETERIORATING MODEL UNCERTAINTY OF HYDRAULIC SERVO SYSTEMS
    Sun, Hao
    Tao, Jianfeng
    Yu, Honggan
    Liu, Chengliang
    PROCEEDINGS OF BATH/ASME 2022 SYMPOSIUM ON FLUID POWER AND MOTION CONTROL, FPMC2022, 2022,