【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。更多还原

【Abstract】 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.更多还原