在飞行关键系统中使用重新配置算法提高了可用性

C. Ananda
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引用次数: 3

摘要

本文提出了一种嵌入式航空电子应用中任务或过程重构的新方法,该方法对决策规则进行了实时的广泛检查和验证。该算法基于4个控制参数:可重构性信息因子、可调度性测试/TL/UF、上下文适应性/适宜性和上下文飞行安全。该算法以数据为中心,将系统健康作为控制输入,只有在成功评估参数度量后才会启动重新配置。它通过有效的选择和安全状态退出的程序性重新配置,提高了系统在故障条件下的可用性和可靠性。与不可配置系统相比,新方法的优点是在故障条件下增加了飞行关键应用的可用性。它还保留了非可重构系统相对于联邦体系结构的优点。控制参数失效使系统进入安全状态。介绍了方案、算法和控制参数度量及其验证方法。该算法使系统即使在故障情况下也能保持良好的可用性。本文还介绍了一些基于具有接近真实功能的标度目标系统的结果。详细介绍了新算法的仿真研究,并利用Matlab/Simulink进行了仿真。本文还简要讨论了轻型运输机典型飞行关键系统的案例研究。讨论还涵盖了使用新算法提高可靠性和可用性方面的内容。控制指标数据的生成,其逻辑,依赖于控制参数表征的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved availability using re-configuration algorithm in a flight critical system
The paper presents a new method for reconfiguration of tasks or a process in an embedded avionics application with extensive checks and validation carried out in real-time for decisionmaking rules. The proposed algorithm works based on four control parameters: re-configurability Information factor, Schedulability Test/TL/UF, Context Adaptability/suitability and Context Flight Safety. The algorithm is data centric and interfaces system health as control input and initiation of the re-configuration is only after successful evaluation of the parameter metrics. It enhances the availability and reliability of the system under failed conditions by efficient selection and procedural re-configuration with safe state exit. The advantage of the new approach over the non-configurable systems is the increased availability of flight critical applications under failed conditions. It also preserves the advantages of non-Reconfigurable systems over federated architecture. Invalid failure of control parameter brings the system to safe state. The scheme, algorithm and the control parameters metrics along with their validation approach are described. The algorithm provides very good availability of the system even under failures. The paper also presents the few results based on scaled target systems with near real functional capabilities. The details of new algorithm simulation studies are presented, which were simulated using Matlab/Simulink. Brief discussions of a case study for a typical flight critical system of Light Transport Aircraft (LTA) is also covered. Discussions also cover the increased reliability and availability aspects using the new algorithm. Control metrics data generation, its logic, dependency for optimization of control parameter characterization is addressed.
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