Optimization of Single Input Fuzzy Logic Controller Using PSO for Unmanned Underwater Vehicle

Abstract

This paper describes the optimization technique using Particle Swarm Optimization (PSO) are applied to tune parameter of Single Input Fuzzy Logic Controller (SIFLC) for depth control of the Unmanned Underwater Vehicle (UUV). Two parameter SIFLC will be considered to tune the parameter based on off-line results for PSO algorithm to give a best system response in terms of overshoot and rise time. The parameter after look-up table will be fixed because the gain obtained by using the PSO algorithm is almost the same. This paper also investigated the parameter of look-up table for five input rules. Simulation is conducted within MATLAB/Simulink environment to verify the performance of the controller. It is demonstrated that the controller is effective to move the UUV as fast as possible to the desired depth with the best response system in terms of zero overshoot and 5 s rise time performances.