基于蒙特卡罗法的AUV任务可靠性分析  

Analysis on the Mission Reliability for AUV Based on Monte Carlo Method

作　　者：李娟[1,2] 张昆玉[2] 李海波 杨莉娟[3] 王蒙迪 Li Juan;Zhang Kunyu;Li Haibo;Yang Lijuan;Wang Mengdi(Key Laboratory of Underwater Robotics,Harbin Engineering University,Harbin 150001,China;College of Automation,Harbin Engineering University,Harbin 150001,China;Jiangnan Shipbuilding(Group)Co.Ltd.,Shanghai 201913,China)

机构地区：[1]哈尔滨工程大学水下机器人技术重点实验室,黑龙江哈尔滨150001 [2]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001 [3]江南造船(集团)有限责任公司,上海201913

出　　处：《系统仿真学报》2019年第10期2131-2137,共7页Journal of System Simulation

基　　金：国家自然科学基金(51609046/E091002);中央高校基金(HEUCFM170403);水下机器人技术重点实验室研究基金(614221502061701)

摘　　要：AUV(AUV-Autonomous Underwater Vehicle)有较高可靠度是它能够在规定时间内圆满、高效地完成任务的必要条件。传统的故障树对于描述系统可靠性模型非常方便,但是对于大型复杂系统,可靠性参数的计算量将大幅增加,计算比较困难。针对传统故障树计算复杂系统可靠性参数困难的情况,本文采用故障树最小割集与蒙特卡罗法相结合的方法,建立了水下无人航行器系统可靠性模型,求取故障树最小割集,结合蒙特卡罗方法进行可靠性分析。仿真验证AUV的可靠性预计、分配和评估。The high reliability of AUV is the necessary condition for it to complete the task satisfactorily and efficiently within the specified time. Traditional fault tree is very convenient for describing the reliability model of the system, but for large and complex system, this will significantly increase the computation of reliability parameters, thus the calculation is difficult. Because it to calculate the reliability parameters of complex systems by the traditional fault tree, this paper adopts the method of combining the minimum cut set of fault tree and Monte Carlo method to establish the reliability model for Underwater Autonomous Unmanned Vehicle Systems for minimizing cut set of fault tree, and to analyse the reliability with Monte Carlo’s method. The simulation validates the reliability prediction, distribution and evaluation of AUV.

关 键 词：水下无人航行器 故障树 最小割集 蒙特卡罗法 

分 类 号：TP114.3[自动化与计算机技术—控制理论与控制工程]