基于遗传算法的减摇鳍系统能量优化  

Energy optimization for the fin stabilizer system based on a genetic algorithm

作　　者：于立君[1] 刘少英[1] 王辉[1] 熊朝东[1] 

机构地区：[1]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001

出　　处：《智能系统学报》2014年第4期432-437,共6页CAAI Transactions on Intelligent Systems

基　　金：国家自然科学基金资助项目(61174047);中央高校基本科研业务费专项基金资助项目(HEUCF041406;HEUCF041404)

摘　　要：针对减摇鳍系统能量优化问题,通过分析横摇角方差、鳍角方差以及负载能耗,建立减摇鳍系统性能指标。提出一种基于遗传算法进行多目标函数优化的方法。与传统PID方法进行比较,结果表明,利用遗传算法多目标优化方法能有效降低减摇装置的能量损耗,改善减摇效果,提高经济效率,为优化减摇装置能量消耗提供了理论依据。Energy optimization is one of the key problems for ship roll reduction systems .In this paper, the roll angle va-riance , fin angle variance and the load energy are analyzed to establish the performance index of the fin stabilizer system . The genetic algorithm based multi-objective function optimization method is proposed .Compared with the traditional PID control , the simulation results show that the genetic algorithm based multi-objective function optimization method can ef-fectively reduce the energy loss of roll reduction devices .Both the control effect and the economic efficiency are im-proved.The proposed method provides a theoretical basis for optimizing the energy consumption of roll reduction devices .

关 键 词：减摇鳍 横摇角方差 鳍角方差 遗传算法 多目标函数 能量优化 

分 类 号：U664.72[交通运输工程—船舶及航道工程] TP18[交通运输工程—船舶与海洋工程]