Energy Optimization of Fin Stabilizer System Based on Multi-objective Cloud Genetic Algorithm

摘要：

　　Energy optimization is the key issue in the fin stabilizer system.The roll angle variance,fin angle variance and energy consumption of fin stabilizer system are analyzed to establish the performance indicators of the fin stabilizer system.In order to solve the problem of lacking of flexibility of convergence and low optimization efficiency of MOGA,using randomness and stable tendency of cloud model,MOCGA is brought forward to optimize the performance indicators of the fin stabilizer system in this paper.In addition,fitness function is improved.The results show that MOCGA can improve the roll reduction efficiency,at the same time it can reduce the energy consumption of the roll reduction device.It has good control effect and provides a theoretical basis for the roll reduction device.

关键词： Fin stabilizer system performance indicators cloud model MOCGA

作者: YU Lijun LIU Shaoying WANG Hui

作者单位: College of Automation,Harbin Engineering University,Harbin 150001,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 7903-7908

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）