This article describes the development of a software architectural framework for implementing compute-aware control systems, where the term “compute-aware” describes controllers that can modify existing low-level computing platform power managers in response to the needs of the physical system controller. This level of interaction means that high-level decisions can be made as to when to operate the computing platform in a power-savings mode or a high-performance mode in response to situation awareness of the physical system. The framework is demonstrated experimentally on a mobile robot platform. In this example, a situation-aware governor is developed that adjusts the speed of the processor based on the physical performance of the robot as it traverses a path through obstacles. The results show that the situation-aware governor results in overall power savings of up to 38.9 percent with 1.3 percent degradation in performance compared to the static high-power strategy.

中文翻译：

---

用于控制系统应用的功率和性能感知软件框架

本文描述了用于实现计算感知控制系统的软件架构框架的开发，其中术语“计算感知”描述了可以根据物理系统控制器的需求修改现有低级计算平台电源管理器的控制器。这种级别的交互意味着可以做出关于何时在节能模式或高性能模式下操作计算平台以响应物理系统的态势感知的高级决策。该框架在移动机器人平台上进行了实验演示。在这个例子中，开发了一种情境感知调控器，它根据机器人在穿过障碍物的路径时的物理性能来调整处理器的速度。