中国舰船研究2016，Vol.11Issue(4)：111-115,5.DOI:10.3969/j.issn.1673-3185.2016.04.016
遗传粒子群优化算法在船舶动力定位控制中的应用
Application of the genetic particle swarm optimization algorithm in dynamic positioning ship control
摘要
Abstract
Aiming at the issue of precise fixed point control of the vessel dynamic positioning system and combining the unique function of the genetic algorithm such as sound selection of cross mutant objects and good memory for the characters of the particle swarm algorithm, a genetic particle swarm optimization algo?rithm is proposed in this paper and applied to the weight coefficient selection of the performance index weighting matrix of the optimal control. Through a marine multipurpose ship dynamic positioning point control simulation, the position of surge and sway as well as the angle of yaw gradually reach the desired value, and all output values are seen to converge and bounded. Compared with the results obtained in the traditional optimal control, the proposed algorithm is more effective and yields better optimization performance of the genetic particle swarm in the optimal control, and is thus more suitable for marine engineering applications.关键词
船舶/动力定位系统/最优控制/遗传粒子群算法/权重系数Key words
ship/dynamic positioning system/optimal control/genetic particle swarm optimization algo⁃rithm/weighting coefficient分类
交通工程引用本文复制引用
薛彩霞,袁伟,俞孟蕻,樊冀生..遗传粒子群优化算法在船舶动力定位控制中的应用[J].中国舰船研究,2016,11(4):111-115,5.基金项目
江苏省产学研联合创新资金资助项目(BY2013066-08) （BY2013066-08）
江苏高校高技术船舶协同创新中心/江苏科技大学海洋装备研究院资助项目(HZ2015006) （HZ2015006）
江苏省科技支撑计划(工业)(BE2011149) （工业）
