Research on a motion-inhibition fuzzy control method for moored ship with multi-robot system

被引:12
作者
Ding, Shixing [1 ,2 ]
Zhao, Tieshi [1 ,2 ]
Gao, Feng [3 ]
Tang, Zhaofeng [1 ,2 ]
Jin, Bingqi [1 ,2 ]
机构
[1] Yanshan Univ, Parallel Robot & Mechatron Syst Lab, Qinhuangdao 066004, Hebei, Peoples R China
[2] Yanshan Univ, Key Lab Adv Forging Stamping Technol & Sci, Minist Natl Educ, Qinhuangdao 066004, Hebei, Peoples R China
[3] MOT, Res Inst Water Transport Engn, Tianjin 300000, Peoples R China
基金
中国国家自然科学基金;
关键词
Mooring robots; Motion inhibition; Mooring force; Fuzzy control; Near-singularity;
D O I
10.1016/j.oceaneng.2022.110795
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
Compared with the conventional mooring arrangements, robot mooring systems have better adaptability to sea conditions, higher operating efficiency and security. Due to strong random disturbances of wave, wind, currents and the mechanism near-singularity induced by the line distribution of mooring robots along the pier, PD control or other conventional control methods for the mooring robots are difficult to obtain a superior motion-inhibition effect. In this paper, a motion-inhibition fuzzy control method for a moored-ship with a kind of multi-robot system is proposed. By analyzing the motion-inhibition effect of the mooring restoring forces and damping forces, a three-dimensional (surge, sway and yaw) mooring force fuzzy controller (MFFC) is developed. Ac-cording to the force mapping relationship from mooring force space to the driving force space, adjustment factors for the outputs of the MFFC are given to decease the largest driving-force of robot actuators induced by the mechanism near-singularity. Numerical simulations are conducted to obtain the motion responses of a 60000DWT bulk carrier moored by a multi-robot mooring system (MRMS) considering different conditions and parameters. The results show that the MFFC can inhibit adaptively the ship motions for different sea conditions.
引用
收藏
页数:21
相关论文
共 21 条
[1]  
ALHOLOU N, 1994, PROCEEDINGS OF THE 37TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, P1373, DOI 10.1109/MWSCAS.1994.519063
[2]  
[Anonymous], 1999, A course in fuzzy systems
[3]  
Ansys A., 2018, AQWA Theory Manual
[4]  
Barr AJ, 1996, FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, P42, DOI 10.1109/FUZZY.1996.551717
[5]   Configuration and singularity analysis of a parallel hip joint simulator based on the forward kinematics [J].
Cheng, Gang ;
Li, Yang ;
Lodewijks, Gabriel ;
Pang, Yusong ;
Shan, Xianlei .
APPLIED MATHEMATICAL MODELLING, 2016, 40 (15-16) :7281-7292
[6]  
De Bont J., 2010, PIANC MMX CONGRE LIV
[7]  
Fossen T.I, 2021, HDB MARINE CRAFT HYD
[8]  
Jensen O, 1990, COAST ENG P, P3074
[9]   Research on motion inhibition method using an innovative type of mooring system for spar floating offshore wind turbine [J].
Ma, Yuan ;
Chen, Chaohe ;
Fan, Tianhui ;
Yan, Xinkuan ;
Lu, Hongchao .
OCEAN ENGINEERING, 2021, 223
[10]   Simulation and experimental control of a 3-RPR parallel robot using optimal fuzzy controller and fast on/off solenoid valves based on the PWM wave [J].
Moezi, Seyed Alireza ;
Rafeeyan, Mansour ;
Zakeri, Ehsan ;
Zare, Amin .
ISA TRANSACTIONS, 2016, 61 :265-286