Remotely Operated underwater Vehicle (ROV) stabilization with Artificial Neural Networks (ANN)

The purpose of this research is to produce a system that can stabilize REMOTELY OPERATED UNDERWATER VEHICLE (ROV) using an ARTIFICIAL NEURAL NETWORK (ANN) smart system. The way the system works is done by reading the input in the form of an Accelerometer and Gyroscope sensor which is then processed using a microcontroller and the output is PWM (Pulse Width Modulation) which is interpreted by the ESC (Electronic Speed Control) driver to move the motor according to the speed it should be. In addition, the microcontroller also has to determine which direction the motorbike can go against from the ocean currents or the source of the shock it receives. ANN in this system is used to determine the size of the ROV’s freedom of air so that the motor can withstand any unstable external shocks (air currents) and still maintain its position and position.