深水钻机集成监控系统可靠性冗余优化
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摘要
深水平台钻机集成监控系统(DSDR-IMCS)采用冗余方法提高可靠性,但存在费用、重量、体积等增加的问题。对DSDR-IMCS进行分析,建立一种适于DSDR-IMCS的可靠性冗余优化配置模型,提出一种基于模拟退火算法的PSO-GA混合算法对模型进行求解,该方法将PSO算法收敛快和GA算法全局收敛性好的优点相结合,引入模拟退火优化机制,并对PSO算法产生的新粒子群进行修正。结果表明,本文算法既可加快运算速度,降低计算强度,提高搜索效率,又可避免收敛过快陷入局部极大而降低全局搜索能力,且得到的优化结果更好,为DSDR-IMCS可靠性分析和设计提供参考。
The techniques of redundancy can be used to enhance the reliability of the integrated monitoring and control system of deep-sea drilling rig( DSDR-IMCS)),which results in cost,weight and volume increasing. A mathematical model of reliability redundancy optimization allocation( RROA) was developed based on the analysis of DSDR-IMCS. A hybrid algorithm was proposed to solve the mathematical model,which combines particle swarm optimization( PSO) algorithm,genetic algorithm( GA) with simulated annealing( SA). Using the fast convergence rate of PSO and good global convergence of GA integrating SA,the new particles of PSO were modified. The numerical simulation results show that the proposed method can not only accelerate calculation speed,reduce the calculation intensity,improve the search efficiency,but also avoid the problem of reducing the capability of global search resulting from rapid convergence. This hybrid algorithm can generate better optimization results,so it can provide a reference for the analysis and design of DSDR-IMCS reliability optimization.
引文
[1]任庆生,叶中行,曾进.基于实数型遗传算法的电子系统可靠性最优分配[J].通信学报,2000,21(3):43-46.REN Qingsheng,YE Zhongxing,ZENG Jin.Reliability computation of electronics system by real-valued genetic algorithm[J].Journal of China Institute of Communications,2000,21(3):43-46.
    [2]DAVID W C,ALICE E S.Reliability optimization of series-parallel systems using a genetic algorithm[J].IEEE Transactions on Reliability,1996,45(2):254-260.
    [3]廖雯竹,潘尔顺,奚立峰.基于Tabu搜索和蚂蚁算法的系统可靠性分析[J].上海交通大学学报,2008,42(8):1291-1295.LIAO Wenzhu,PAN Ershun,XI Lifeng.Reliability analysis of system based on Tabu search and ant algorithm[J].Journal of Shanghai Jiaotong University,2008,42(8):1291-1295.
    [4]TAVAKKOLI-MOGHADDAM R,SAFARI J,SASSANI F.Reliability optimization of series-parallel systems with a choice of redundancy strategies using a genetic algorithm[J].Reliability Engineering and System Safety,2008,93(4):550-556.
    [5]戴永寿,牛慧,彭星,等.基于自回归滑动平均模型和粒子群算法的地震子波提取[J].中国石油大学学报:自然科学版,2011,35(3):47-50.DAI Yongshou,NIU Hui,PENG Xing,et al.Seismic wavelet extraction based on auto-regressive and moving average model and particle swarm optimization[J].Journal of China University of Petroleum(Edition of Natural Science),2011,35(3):47-50.
    [6]史玉才,管志川,朱宽亮,等.大型丛式井组井口分配模型及其自适应遗传算法[J].中国石油大学学报:自然科学版,2012,36(6):70-73.SHI Yucai,GUAN Zhichuan,ZHU Kuanliang,et al.Wellhead allocation model for large scale cluster well and its self-adaptive genetic algorithm[J].Journal of China University of Petroleum(Edition of Natural Science),2012,36(6):70-73.
    [7]李敬花,余峰,樊付见.基于遗传模拟退火融合算法的船舶分段装配序列优化[J].计算机集成制造系统,2013,19(1):39-45.LI Jinghua,YU Feng,FAN Fujian.Ship block assembly sequence optimization based on genetic simulated annealing algorithm[J].Computer Integrated Manufacturing Systems,2013,19(1):39-45.
    [8]金敏,鲁华祥.一种遗传算法与粒子群优化的多子群分层混合算法[J].控制理论与应用,2013,30(10):1231-1238.JIN Min,LU Huaxiang.A multi-subgroup hierarchical hybrid of genetic algorithm and particle swarm optimization[J].Control Theory&Applications,2013,30(10):1231-1238.
    [9]ANGELINE P J.Using selection to improve particle swarm optimization:IEEE International Conference on Evolutionary Computation-Proceedings[C].New York:IEEE,c1998:84-89.
    [10]SENTHIL A M,CHANDRAMOHAN A,RAO M V C.Competitive approaches to PSO algorithms via new acceleration co-efficient variant with mutation operators[C].Los Alamitos:IEEE,c2005:225-230.
    [11]JUANG C F.A hybrid of genetic algorithm and particle swarm optimization for recurrent network design[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2004,34(2):997-1006.
    [12]KAO Y T,ZAHARA E.A hybrid genetic algorithm and particle swarm optimization for multimodal functions[J].Applied Soft Computing,2008,8(2):849-857.
    [13]LI Shutao,WU Xixian,TAN Mingkui.Gene selection using hybrid particle swarm optimization and genetic algorithm[J].Soft Computing,2008,12(11):1039-1048.
    [14]MARINAKIS Y,MARINAKI M.A hybrid genetic-particle swarm optimization algorithm for the vehicle routing problem[J].Expert Systems with Applications,2010,37:1446-1455.
    [15]KUO R J,SYU Y J,CHEN Z Y,TIEN F C.Integration of particle swarm optimization and genetic algorithm for dynamic clustering[J].Information Sciences,2012,195:124-140.
    [16]郭威,等.最优可靠性设计:基础与应用[M].郭进利,阎春宁,译.北京:科学出版社,2011.
    [17]蒂尔曼,黄清莱,郭威.系统可靠性最优化[M].刘炳章,译.北京:国防工业出版社,1988.
    [18]黎放,朱承,王威.冗余系统费用模型及优化[J].系统工程与电子技术,2000,22(9):84-89.LI Fang,ZHU Cheng,WANG Wei.Cost models and optimization of redundant system[J].Systems Engineering and Electronic,2000,22(9):84-89.
    [19]ZHANG Enze,WUN Yifei,CHEN Qingwei.A practical approach for solving multi-objective reliability redundancy allocation problems using extended bare-bones particle swarm optimization[J].Reliability Engineering and System Safety,2014,127:65-76.
    [20]SHEIKHALISHAHI M,EBRAHIMIPOUR V,SHIRI H,et al.A hybrid GA-PSO approach for reliability optimization in redundancy allocation problem[J].Int J Adv Manuf Technol,2013,68:317-338.
    [21]dos SANTOS COELHO L.An efficient particle swarm approach for mixed-integer programming in reliabilityredundancy optimization applications[J].Reliability Engineering and System Safety,2009,94:830-837.

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