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Traditional fault tree analysis method need obtain exact value of the event occurrence's probability, un-completeness and fuzziness of the data is ignored. Fuzzy fault tree analysis method is proposed in study on the system reliability. The fuzzy fault tree of the AUV is established. Using operational rule calculated the fuzzy probability of the top event which is AUV can't work normally and analysis...
In this paper, the traditional method of fault tree analysis is briefly introduced. AUV, whose fault tree was built, did not work normally as top event. Using Monte-Carlo random sampling method, we establish the simulation model of the AUV, set up the Fault Tree Analysis simulation MATLAB program and engage in its fault tree quantitative analysis. The life distribution function of the AUV system is...
Grey dynamic prediction (GDP) based sensor fault diagnosis for autonomous underwater vehicle (AUV) is proposed in this paper. This method can solve the problems of short information, strong uncertainty and real-time requirement. The principle of GDP and its practical steps for sensor fault diagnosis are introduced in detail. The simulation research is carried out for four typical fault modes of AUV...
The paper studies a method in order to promote the accuracy of the control and simulation system of AUV (autonomous underwater vehicle) under the help of the error models of INS (inertia navigation system)/DVL (Doppler velocimeter log) integrated navigation system. Time series models are given in this paper, which describe the longitude error and latitude error of the INS/DVL integrated navigation...
Autonomous underwater vehicles(AUVs) can be used for demonstrations of new technologies and capabilities like terrain referenced navigation, realistic testing, the control and guidance system, and so on. It is important that the control system work well under the sea environment at any time. This paper proposes a new autonomous reconfigured control system. It combines the advantages of the passive...
There are both continuous-valued and discrete-event characteristics in multiple autonomous underwater vehicles (AUVs) at the same time. A new architecture based on hybrid intelligent control agent is developed for the control system modeling and coordinating of multi-mode dynamical systems. The hybrid intelligent control agent is an intelligent agent which has an embedded hybrid control system in...
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