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Recent results will be presented representing both generic interconnected complex systems as well as specific examples from the aerospace and automotive application domains. The graph allows design optimization tools to be implemented and optimize the physical system design for the purpose of control. The graph approach, like the hierarchy, has benefits of modularity and scalability along with being an efficient framework for representing systems of different time scales. In addition to the hierarchical control, a particularly useful graph-based approach will be introduced for the purpose of modeling the system interactions and performing early stage design optimization. Additional modules can be added or removed without changing the basic approach. Additional advantages include the modularity and scalability inherent in the hierarchy. It also allows for different dynamic decision making tools to be used at different levels of the hierarchy based on the needs of the physical systems under control.
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A hierarchical approach allows for systems operating on different time scales to be coordinated in a controllable manner. This talk will present a particular distributed controller architecture for managing the flow of power based on on-line optimization. A key challenge in working across various modes of power flow is the widely varying time scales of the subsystems which makes centralized control efforts challenging. These modes can be thermal, fluid, electrical, or mechanical. The systems exhibit complex interactions of multiple modes of power flow. The mobility sector encompasses cars, trucks, busses and aircraft.
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Keywords: Automotive, Aerospace, Power systemsĪbstract: Electrification of mobility and transport is a global megatrend that has been underway for decades.