CRII: CPS: Hierarchical Control for Constrained Multi-timescale Energy Management

现代控制系统，无论大小，都试图基于来自更多和不同类型的传感器、感测模态、环境和情况的信息来优化资源。 对于商用和国防飞机、车辆和船舶来说尤其如此，这些飞机、车辆和船舶都在优化燃油效率、性能和安全性。该研究项目开发了一种通用控制方法，用于最大限度地提高整体性能和效率，即使在接近系统物理极限的情况下运行，同时确保安全并满足总体目标。该研究项目开发了一种新的“基于集合的方法”，以构建有效的分层模型预测控制（MPC），并为网络物理系统（CPS）提供可证明的保证，其中控制器之间的协调提供了执行器和状态约束的保证满足。 该项目的研究描述了如何使用CPS系统约束为层次结构中的每个控制器构建特定的基于集合的协调机制，为整个系统提供可证明的闭环行为，如何利用系统的底层拓扑和动态时标来开发特定于系统的分层控制架构，以最大限度地减少不确定性并最大限度地提高性能，以及分级控制如何用于能量管理，例如，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Modern control systems, small and large, attempt to optimize resources based on information from more and different kinds of sensors, sensing modalities, environments, and circumstances. This is especially the case for commercial and defense aircraft, vehicles, and ships, that optimize for fuel efficiency, performance, and safety. This research project develops a general control methodology for maximizing overall performance and efficiency, even when operating close to the physical limits of the system, all while ensuring safety and meeting overall objectives. This research project develops a novel "set-based approach" to construct effective hierarchical model predictive control (MPC) with provable guarantees for cyber-physical systems (CPS), where coordination among controllers provides guaranteed satisfaction of actuator and state constraints. The research of this project describes how CPS system constraints can be used to construct specific set-based coordination mechanisms for each controller within the hierarchy that provide provable closed-loop behavior for the entire system, how the underlying topology and dynamic timescales of the system is leveraged to develop system-specific hierarchical control architectures that minimize uncertainty and maximize performance, and how hierarchical control can be used for energy management and, e.g., provide greater capability, efficiency, and reliability for electrified vehicle systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.