PROJECT TITLE :

Application of Particle Swarm Optimized PDD2 Control for Ship Roll Motion With Active Fins

ABSTRACT:

This paper presents an intelligent control of a ship's roll motion damping system consisting of a combine of active fins driven by a hydraulic system. The recommended intelligent controller updates coefficients of the proportional-derivative-second by-product controller (PDD2) using particle swarm optimization (PSO). The memory-based mostly and therefore the triggered-memory-based PSO algorithms are studied to improve the performance of PSO-PDD2 algorithm for varied sea conditions using simulations. The resulting triggered-memory-primarily based PSO-PDD2 controller shows a superior total roll motion damping performance. Damping of little roll motions has additionally been achieved. The PSO-PDD2 active fin system controller has been implemented for the sample ship, Marti, in a full-scale sea trial in real time. Results of both simulations and real-time trials are presented. Application of PSO has yielded very promising results not solely for PDD2 roll damping controller but also for other potential marine management application.