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Formal methods for the validation of fault tolerance in autonomous spacecraft

机译:验证自主航天器容错能力的形式化方法

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One of the major challenges to be faced in the design of new-generation spacecrafts comes with the requirement to increase the capacity of autonomous operation, in particular in presence of abnormal events. Formal methods are becoming more accepted in the space industry as a possible way to manage induced systems complexity. The Data Management System Design Validation (DDV) study has accomplished an experimental junction between the spacecraft autonomy trends and emerging formal methodologies. A methodological framework applicable to the early life cycle phases of fault-tolerant systems engineering has been defined. It focuses on the verification of fault tolerance properties using model-based formalisms. The Specification and Design Language (SDL) was selected for this study as the best suited language with respect to the application. This work has resulted in an executable specification establishing the tolerated behaviours of spacecraft computers in presence of faults. Fault tolerance properties have been checked, in spite of limitations inherent to model-based formalisms, by using an appropriate verification process.
机译:新一代航天器的设计面临的主要挑战之一是要求增加自主运行的能力,特别是在出现异常事件的情况下。正式方法已成为航天工业中一种可能的方法来管理诱发的系统复杂性。数据管理系统设计验证(DDV)研究已经完成了航天器自主性趋势与新兴形式方法之间的实验结合。已经定义了适用于容错系统工程的早期生命周期阶段的方法框架。它着重于使用基于模型的形式主义来验证容错特性。规范和设计语言(SDL)被选为该研究的最佳应用程序语言。这项工作产生了可执行的规范,该规范确立了存在故障时航天器计算机的容忍行为。尽管基于模型的形式主义具有固有的局限性,但仍通过使用适当的验证过程来检查容错属性。

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