Mohd Khairi Mohd Zambri

Performances analysis of underwater Remotely Amphibian Vehicle (RAV)

This project is mainly focusing on the development and performances analysis of the Remotely Amphibian Vehicle (RAV). This innovation mends to assist human in aquatic operation as well as aerial activity. However, this is still a very recent groundwork with numbers of limitation and challenge. Challenges like transition in medium has limited and affected the performance of the vehicle in terms of flying or submerging capability. To validate and verify the performances of this RAV, a series of simulation and experiment will be carried out. This RAV is tested and verified of able to fly in the air as well as submerge into underwater and capable of hovering like a normal quad-copter up to a height of 200 cm and submerge about 20 cm of depth. The RAV has successfully achieved the aim of travel in both mediums.

Analysis of integrated sensors for unmanned underwater vehicle application

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.

Analysis performances of Laser Range Finder and blue LED for Autonomous Underwater Vehicle (AUV)

This paper described a new technique for obstacle avoidance or depth control using a laser range finder and blue LED and then applied to Autonomous Underwater Vehicle (AUV). AUV is equipped with a variety of sensors and components depending upon the missions and applications. One of the main issues in developing the AUV is complex systems and also the cost. AUV must be able to interpret its environment by gathering information from its sensors with higher accuracy. This is due to unpredicted condition in an underwater where a serious collision might occur if this kind of sensory system is not effected. The objective of this project is to develop a new sensory system to depth control using the Laser Range Finder (LRF). LRF as a tool to measure and detect obstacles at a certain range. Then, the performance of LRF is investigated in terms of ranges, accuracy and material detected. The components used are Arduino Nano as microcontrollers, 5 mm blue LED (receiver) and LRF (transmitter) that will able to focusing on depth control. The result obtained that the LRF will be able to detect obstacles up to 80 cm to maintain at certain depth and good in accuracy.