Design and Development an Underwater Glider Using Remote Control

This project is about developing an underwater glider. It’s driven depending on buoyancy adjustment of itself and move horizontally wing. Underwater glider becomes more important especially in oceanographic and this project is concerned with the design and development an underwater glider using remote control (RC). This glider is designed by using a buoyancy control to make the glider become float and using a hydrodynamic concept. The main part of this an underwater glider consist of wings, tail, receiver and transmitter board, DC motor, fan and remote control. This glider is controlled by using radio frequency (RF) with 4 channels. The RC will control the movement of a glider and the DC motor will be used to rotate the fan. However, DC motor spins too fast and has too little torque to drive the loads. Thus, gear reduction is required to slow down the rotational speed and increase the torque of the motors

Design and Development an Underwater Glider using PIC for Monitoring Application

This project is described a design of an underwater glider using PIC as controller. Underwater glider is a type of autonomous underwater vehicle (AUV). Underwater Glider is a technology undergoing active and rapid development that uses small changes in its buoyancy in conjunction with wings to convert vertical motion to horizontal, and thereby propel itself forward with very low power consumption. The main purpose of this project is to design and develop an underwater glider controlled by PIC. This project is categorized to three major phase which is the mechanical design concept, programming and fabrication. The design and development of the underwater glider should be having hydrodynamic characteristics, stability and buoyancy. The movement of the underwater glider is controlled by PIC controller using C language program. The underwater glider that will be produced can move forward and reverse autonomously

Wireless Camera Controller System for Mobile Robot using RF

This project is purposely to design the Wireless Camera Controller for Mobile Robot using Radio Frequency. To control position of the camera, forward and reverse motor circuit is most suitable to use. This circuit will be given the instruction to the dc motor either to turn forward or turn reverse. That instruction comes from Radio Frequency Transmitter and Radio Frequency Receiver. In the controller also use the RF transmitter circuit and RF receiver circuit. The RF transmitter circuit is to transmit the signal from switch. In this circuit should have the HT-12E IC as encoder to encode the signal from switch. The RF receiver circuit is to receive the signal from the RF transmitter circuit and this circuit used the HT-12D as decoder to decode back the original signal and in this circuit use the Charger Battery Circuit as backup supply when common supply black out. For sending the signal needed the right and sharp frequency to transmit the signal from RF transmitter circuit to RF receiver circuit

Ethernet-Networking Technology: A Surface Review on Current Issues

Ethernet has evolved throughout the years and still remains relevant in modern communication applications. Its reliability and easy configurability is one of the most liked feature for device communications. Hence, in this paper a surface review upon Ethernet is carried out. Several aspects of Ethernet and its application is investigated on its current researches and achievements. Ethernet applications is used in leading design technologies in the automotive and aviation industry another popular application of it is in the industrial sector. The energy usage of Ethernet and its common issues are also reviewed. From the reviews done, it can be clearly seen that the role of Ethernet in modern network technology is still important as its features are desirable and its flaws consistently being overcome despite the issues of the Ethernet

Adaptive simplified fuzzy logic controller for depth control of underwater remotely operated vehicle

A Remotely Operated Vehicle (ROV) is one class of the unmanned underwater vehicles that is tethered, unoccupied, highly manoeuvrable, and operated by a person on a platform on water surface. For depth control of ROV, an occurrence of overshoot in the system response is highly dangerous. Clearly an overshoot in the ROV vertical trajectory may cause damages to both the ROV and the inspected structure. Maintaining the position of a small scale ROV within its working area is difficult even for experienced ROV pilots, especially in the presence of underwater currents and waves. This project, focuses on controlling the ROV vertical trajectory as the ROV tries to remain stationary on the desired depth and having its overshoot, rise time and settling time minimized. This project begins with a mathematical and empirical modelling to capture the dynamics of a newly fabricated ROV, followed by an intelligent controller design for depth control of ROV based on the Single Input Fuzzy Logic Controller (SIFLC). Factors affecting the SIFLC were investigated including changing the number of rules, using a linear equation instead of a lookup table and adding a reference model. The parameters of the SIFLC were tuned by an improved Particle Swarm Optimization (PSO) algorithm. A novel adaptive technique called the Adaptive Single Input Fuzzy Logic Controller (ASIFLC) was introduced that has the ability to adapt its parameters depending on the depth set point used. The algorithm was verified in MATLAB® Simulink platform. Then, verified algorithms were tested on an actual prototype ROV in a water tank. Results show it was found that the technique can effectively control the depth of ROV with no overshoot and having its settling time minimized. Since the algorithm can be represented using simple mathematical equations, it can easily be realized using low cost microcontrollers

Vision System for Autonomous Underwater Vehicle Using Wireless Camera for Monitoring and Surveillances Application

This paper present the new design of vision system for autonomous underwater vehicle with the implementation of wireless camera, whereby, produce clearer image. The major obstacle faced by underwater vision system is the extreme loss of color and contrast when submerged to any significant depth whereby the image quality produced is low. Therefore, as to obtain clearer images, several investigations will be done in order to know the appropriate distance required between the images with the camera. At the end of the project, the new design of the vision system will be well functioned and can be applied to capture clearly the underwater images and also might be used to explore the nature of underwater. This new vision system also could be used for monitoring, surveillances, and maintenance tasks for underwater where it is risky for the human to work in it

Thruster Modelling for Underwater Vehicle Using System Identification Method

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 thrusters 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

ROV Trainer Kit for Education Purposes

This paper presents the Underwater Remotely Operated Vehicle (ROV) trainer or called it as the ROV Trainer for the educational purpose. Many underwater industries are involved in developing underwater robot in order to reduce human works as well as increase productivity, efficiency and monitoring. Therefore, the ROV was designed in order to replace the divers and reduce a risk to a diver itself. However, the major constraints to the ROV designed are understanding and knowledge the fundamental of the ROV design. Therefore, ROV Trainer is designed in order to give a basic knowledge and as a platform to test the control system of the ROV. ROV Trainer was a design based on maneuverability and performance of each component with minimum cost where the size of ROV can be varied based on user needed. The Peripheral Interface Controller (PIC) is used to control the movement of this ROV either as manual control or autonomous control. The experiment carried out from this ROV trainer such as buoyancy test, pressure test, measure thrust and controlling the ROV will be covered in ROV Trainer. This project will give many benefits for educational researcher, school educational kits and also related underwater industries by looking at ROV’s features with the needed minimum cost of implementation

Development of Hydrophone Sensor System for Autonomous Underwater Vehicle Application

This project is about developing a hydrophone sensor system for the purpose of autonomous underwater vehicle (AUV) application. AUV is an underwater vehicle which travels underwater. Hydrophone is an underwater microphone which with the help of pressure impulses of acoustic waves converts them into electrical signals which in further are used for communication. It was designed to be used underwater for recording or listening to underwater sound. Hydrophone needs an audio recorder to analyze the spectrographic analysis, without necessary to carry the computer into hostile marine environment. Spectrogram is used to simulate the sound signal of underwater sounds. Spectrogram is a plot of the frequency component such an audio signal as function of time. In this spectrogram program, digital audio recording are analyzed to produce a plot of frequency versus time, with harmonic intensity represented by a variable color scale. Then, the hydrophone system is tested by recording the underwater sound signals at the location to make sure that the system in good condition