Energy Optimization of Fin Stabilizer System Based on Multi-objective Cloud Genetic Algorithm
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.
Fin stabilizer system performance indicators cloud model MOCGA
YU Lijun LIU Shaoying WANG Hui
College of Automation,Harbin Engineering University,Harbin 150001,China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
7903-7908
2014-07-28(万方平台首次上网日期,不代表论文的发表时间)