Application of Particle Swarm Optimized PDD2 Control for Ship Roll Motion With Active Fins PROJECT TITLE :Application of Particle Swarm Optimized PDD2 Control for Ship Roll Motion With Active FinsABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest A High-Gain Power-Efficient Wideband V-Band LNA in 0.18- $mutext$ SiGe BiCMOS A Robust Field-Weakening Algorithm Based on Duty Ratio Regulation for Direct Torque Controlled Synchronous Reluctance Motor