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The Evolution of Software and Its Impact on Complex System Design in Robotic Spacecraft Embedded Systems

机译:机器人航天器嵌入式系统中软件的演化及其对复杂系统设计的影响

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The growth in computer hardware performance, coupled with reduced energy requirements, has led to a rapid expansion of the resources available to software systems, driving them towards greater logical abstraction, flexibility, and complexity. This shift in focus from compacting functionality into a limited field towards developing layered, multi-state architectures in a grand field has both driven and been driven by the history of embedded processor design in the robotic spacecraft industry.The combinatorial growth of interprocess conditions is accompanied by benefits (concurrent development, situational autonomy, and evolution of goals) and drawbacks (late integration, non-deterministic interactions, and multifaceted anomalies) in achieving mission success, as illustrated by the case of the Mars Reconnaissance Orbiter. Approaches to optimizing the benefits while mitigating the drawbacks have taken the shape of the formalization of requirements, modular design practices, extensive system simulation, and spacecraft data trend analysis. The growth of hardware capability and software complexity can be expected to continue, with future directions including stackable commodity subsystems, computer-generated algorithms, runtime reconfigurable processors, and greater autonomy.
机译:计算机硬件性能的提高,以及对能源需求的减少,已导致软件系统可用资源的迅速扩展,促使它们朝着更大的逻辑抽象,灵活性和复杂性发展。这种将重点从压缩功能转变为有限领域而转向在宏伟领域中开发分层的多状态架构的过程既受到机器人航天器行业嵌入式处理器设计历史的推动,也伴随着进程间条件的组合增长。如火星侦察轨道飞行器的案例所示,在实现任务成功方面的好处(并发发展,情况自主权和目标演变)和缺点(后期整合,不确定性相互作用以及多方面异常)的缺点。优化收益同时减少弊端的方法已经形成了需求形式化,模块化设计实践,广泛的系统仿真以及航天器数据趋势分析的形式。硬件功能和软件复杂性的增长有望继续,未来的方向包括可堆叠的商品子系统,计算机生成的算法,运行时可重配置的处理器以及更大的自治性。

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