基于蒙特卡罗法的AUV任务可靠性分析

doi:10.16182/j.issn1004731x.joss.17-0346

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (10): 2131-2137.doi: 10.16182/j.issn1004731x.joss.17-0346

基于蒙特卡罗法的AUV任务可靠性分析

李娟^1,2, 张昆玉², 李海波², 杨莉娟³, 王蒙迪³

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

收稿日期:2017-07-20 修回日期:2017-11-23 出版日期:2019-10-10 发布日期:2019-12-12
作者简介:李娟(1976-),女,江苏泰兴,博士,副教授,研究方向为水下机器人智能控制。
基金资助:
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)

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

Li Juan^1,2, Zhang Kunyu², Li Haibo², Yang Lijuan³, Wang Mengdi³

1. Key Laboratory of Underwater Robotics, Harbin Engineering University, Harbin 150001, China;
2. College of Automation, Harbin Engineering University, Harbin 150001, China;
3. Jiangnan Shipbuilding (Group) Co. Ltd., Shanghai 201913, China

Received:2017-07-20 Revised:2017-11-23 Online:2019-10-10 Published:2019-12-12

摘要/Abstract

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。

关键词: 水下无人航行器, 故障树, 最小割集, 蒙特卡罗法

Abstract: 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.

Key words: Autonomous unmanned underwater vehicle, fault tree, minimal cut set, monte carlo method

中图分类号:

TP114.3

李娟, 张昆玉, 李海波, 杨莉娟, 王蒙迪. 基于蒙特卡罗法的AUV任务可靠性分析[J]. 系统仿真学报, 2019, 31(10): 2131-2137.

Li Juan, Zhang Kunyu, Li Haibo, Yang Lijuan, Wang Mengdi. Analysis on the Mission Reliability for AUV Based on Monte Carlo Method[J]. Journal of System Simulation, 2019, 31(10): 2131-2137.

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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

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