Systems Engineering, Prognostics, and Control
UVA has expertise in adaptive decision making and risk analysis of large integrated systems that has great potential for hypersonic systems. Our systems engineering, and prognostics and control research will lead to smart and efficient hypersonic vehicles.
Our systems engineering, and prognostics and control research will lead to smart and efficient hypersonic vehicles. UVA has expertise in adaptive decision making and risk analysis of large integrated systems that has great potential for hypersonic systems. Peter Beling leads the adaptive decision making work. This research lies at the nexus between comprehensive, physics-based models and data-driven, prognostic algorithms. Well-established software tools have traditionally been used for design and troubleshooting of hypersonic systems, but these tools are generally too computationally expensive to use for real-time decision making or real-time prediction of vehicle performance. However, by coupling these models with data-driven models used for prognostication and health management, this work could fundamentally change the way hypersonic vehicles operate. The risk analysis and systems engineering tools of James Lambert’s group could also bring significant benefits to large systems of hypersonic systems. At a high level, the successful application of hypersonic systems will be based on the interplay of technologies, humans, organizations, missions, environments and markets. The application of appropriate risk analysis and system engineering tools will ensure that a system of hypersonic systems has resilience against cyber and physical defense systems, and against deficiencies in the acquisition and manufacturing supply chain, for example.
The control of a vehicle is relatively straight forward if the operation and performance of the system is well understood and its characteristics do not change with time. However, for hypersonic systems limited flight test data exists, full flight conditions are difficult to replicate in ground-test facilities, performance and operability is often difficult to numerically predict, and characteristics often change during flight. For these reasons, adaptative controllers are particularly well suited to the control of system and subsystems of hypersonic vehicle. UVA has considerable expertise applying adaptive controllers to these problems and has had particular success in applying a controller know as All Coefficient Adaptive Control (ACAC). Much of this work is based on turbomachinery research conducted by the Rotating Machinery and Controls (ROMAC) Laboratory that also has additional expertise in the area of high-speed turbines.