[1]YU Lijun,LIU Shaoying,WANG Hui,et al.Energy optimization for the fin stabilizer system based on a genetic algorithm[J].CAAI Transactions on Intelligent Systems,2014,9(4):432-437.[doi:10.3969/j.issn.1673-4785.201307003]
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Energy optimization for the fin stabilizer system based on a genetic algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 4 Page number: 432-437 Column: 学术论文—智能系统 Public date: 2014-08-25
Title:
Energy optimization for the fin stabilizer system based on a genetic algorithm
Author(s):
YU Lijun;  LIU Shaoying;  WANG Hui;  XIONG Chaodong
College of Automation, Harbin Engineering University, Harbin 150001, China
Keywords:
fin-stabilizer; roll angle variance; fin angle variance; genetic algorithm; multi-objective function; energy optimization
CLC:
TP273
DOI:
10.3969/j.issn.1673-4785.201307003
Abstract:
Energy optimization is one of the key problems for ship roll reduction systems. In this paper, the roll angle variance, 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 effectively reduce the energy loss of roll reduction devices. Both the control effect and the economic efficiency are improved. The proposed method provides a theoretical basis for optimizing the energy consumption of roll reduction devices.
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