Comparison analysis of the PID controller and fuzzy logic controller (FLC) for a newly developed remotely operated vehicle (ROV) depth control

A remotely operated vehicle (ROV) is a vehicle that is controlled by human remote. For underwater ROV, the vehicle is hard wired from surface remote control. It also can be call as "remotely controlled mobile robots" because ROV can represent human to do the various missions in underwater environment. ROV's ability is beyond the human's where it gets the job done in even dull, dirty and dangerous underwater environments. The scope of this project is to design the depth controller for a newly developed ROV and compare the performance with conventional controller (PID) and fuzzy logic controller (FLC). The simulation phase was verified by using MATLAB Simulink All simulation was carried out by off-line mode. The result from the simulation of performance of the depth control was tested in term of different gain parameter and membership function. Consequently, the best step response was chosen based on short rise time, no steady-state error, low settling time and less overshoot percentage.