Thruster Modelling for Underwater Vehicle Using System Identification Method Regular Paper

被引:19
作者
Aras, Mohd Shahrieel Mohd [1 ]
Abdullah, Shahrum Shah [2 ]
Ab Rahman, Azhan [1 ]
Abd Aziz, Muhammad Azhar [2 ]
机构
[1] Univ Tekn Malaysia Melaka, Dept Mechatron, Fac Elect Engn, Durian Tunggal, Melaka, Malaysia
[2] Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Dept Elect & Elect, Kuala Lumpur, Malaysia
关键词
System identification (SI); Pressure Sensor; Remotely Operated Underwater Vehicle; Microbox; 2000/2000C;
D O I
10.5772/56432
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper describes a study of thruster modelling for a remotely operated underwater vehicle (ROV) by system identification using Microbox 2000/2000C. Microbox 2000/2000C is an XPC target machine device to interface between an ROV thruster with the MATLAB 2009 software. In this project, a model of the thruster will be developed first so that the system identification toolbox in MATLAB can be used. This project also presents a comparison of mathematical and empirical modelling. The experiments were carried out by using a mini compressor as a dummy depth pressure applied to a pressure sensor. The thruster model will thrust and submerge until it reaches a set point and maintain the set point depth. The depth was based on pressure sensor measurement. A conventional proportional controller was used in this project and the results gathered justified its selection.
引用
收藏
页数:12
相关论文
共 14 条
[1]  
[Anonymous], OCEAN ENG
[2]  
[Anonymous], TECHN DAT MICR 2000
[3]  
[Anonymous], 4 INT C UND SYST TEC
[4]  
[Anonymous], ADV FUZZY LOGIC TECH
[5]  
[Anonymous], INT C CONTR AUT SYST
[6]   Problem Identification for Underwater Remotely Operated Vehicle (ROV): A Case Study [J].
Azis, F. A. ;
Aras, M. S. M. ;
Rashid, M. Z. A. ;
Othman, M. N. ;
Abdullah, S. S. .
INTERNATIONAL SYMPOSIUM ON ROBOTICS AND INTELLIGENT SENSORS 2012 (IRIS 2012), 2012, 41 :554-560
[7]  
bin Mohd Aras Mohd Shahrieel, 2011, Proceedings of the 2011 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), P1, DOI 10.1109/ICCSCE.2011.6190485
[8]   Rapid modeling and control systems prototyping of a marine robotic vehicle with model uncertainties using xPC Target system [J].
Chin, C. S. ;
Lum, S. H. .
OCEAN ENGINEERING, 2011, 38 (17-18) :2128-2141
[9]  
Fossen TI., 1994, Guidance and Control of Ocean Vehicles
[10]   Single Input Fuzzy Logic Controller for Unmanned Underwater Vehicle [J].
Ishaque, Kashif ;
Abdullah, S. S. ;
Ayob, S. M. ;
Salam, Z. .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2010, 59 (01) :87-100