基于故障树的无人潜航器可靠性研究

在武器装备领域,系统的可靠性已成为重要的评价指标,故障树分析法则是可靠性仿真中最有效的分析方法之一。首先对无人潜航器(UUV)进行系统分析,然后介绍了故障树分析方法,并对该系统建立了以无人潜航器试验不能完成为顶事件的故障树。采用计算机辅助故障树分析方法对该故障树进行可靠性仿真,仿真结果求出了UUV系统的平均故障间隔时间、各基本部件的概率重要度和模式重要度,并得出了其可靠度直方图、失效分布直方图和失效密度直方图,与理论吻合。     

H∞ Robust Fault-Tolerant Controller Design for an Autonomous Underwater Vehicle＇s Navigation Control System

In order to improve the security and reliability for autonomous underwater vehicle (AUV) navigation, an H_∞ robust fault-tolerant controller was designed after analyzing variations in state-feedback gain. Operating conditions and the design method were then analyzed so that the control problem could be expressed as a mathematical optimization problem. This permitted the use of linear matrix inequalities (LMI) to solve for the H_∞ controller for the system. When considering different actuator failures, these conditions were then also mathematically expressed, allowing the H_∞ robust controller to solve for these events and thus be fault-tolerant. Finally, simulation results showed that the H_∞ robust fault-tolerant controller could provide precise AUV navigation control with strong robustness.