Analysis Of Integrated Sensor For Unmanned Underwater Vehicle Application

Mohd Aras, Mohd Shahrieel and Kamarudin, Muhammad Nizam and Zainal, Iktisyam and Mohd Zambri, Mohd Khairi and Sulaiman, Marizan (2017) Analysis Of Integrated Sensor For Unmanned Underwater Vehicle Application. Indian Journal Of Geo-Marine Sciences, 46 (12). pp. 2552-2561. ISSN 0379-5136

[img] Text
IJMS 46(12) 2552-2561.pdf - Published Version

Download (825kB)

Abstract

This paper presents an integrated sensor system to be applied in underwater vehicles based on 5-DOF Inertial Measurement Unit (IMU) sensor, MPX pressure sensor, and temperature sensor. The main idea of the research is to improve the performance of the integrated sensor system by using the MATLAB Simulink connected to MicroBox 2000/2000C for underwater vehicles applications. An integrated sensor or known as the smart sensor is a small component that designed to gather important data. These types of sensors combined or integrated with signal processing hardware in a single compact device. All sensors are placed in a hard casing made of steel with the dimensions of 0.10 m diameter, 0.85 m height and weight of 0.23 kg. The output of the sensors shows that; the offset error of accelerometer and gyroscopes are within 0.5 to 1.0 and 0.1 to 0.5 respectively. It is shown that the pressure occurs at 0.75s and the reading in volt increased rapidly until 0.5V and maintained at 0.5V for 1 s. With minimum implementation cost and improved performances of the integrated sensor, this research benefits offshore and underwater industries.

Item Type: Article
Uncontrolled Keywords: Inertial measurement unit; temperature sensor; pressure sensor; MicroBox 2000/2000C
Subjects: T Technology > T Technology (General)
T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Faculty of Electrical Engineering
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 02 Jul 2018 02:24
Last Modified: 09 Jul 2021 22:51
URI: http://eprints.utem.edu.my/id/eprint/20904
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item