Most cyber physical systems are designed in a distributed system architecture. Distributed computing environments differ from conventional environments in a way that the former has control programming and data spread out across more than one computer and processors. These computers share data using a common distributed communication network. Limitations of the communication systems can dramatically impact the efficiency of control laws. However, In the context of limited communications it is possible to quantify the degradation of the quality of control by devising optimal attention control policies. Such attention control policies are founded on the fact that not all measurements or control data across various computers share the same value at a given instant of time. It is therefore necessary to design optimal actuator/sensor scheduling policies that, given some available communication bandwidth, perform better than arbitrary scheduling policies in terms of determinism and reliability. In this paper, we assess design trade-offs in the different distribution communication systems and develop concepts for optimal sensor/actuator scheduling taking into consideration the impacts on control system and turbine engine performance.
|Original language||English (US)|
|Title of host publication||AIAA Propulsion and Energy Forum and Exposition, 2019|
|Publisher||American Institute of Aeronautics and Astronautics Inc, AIAA|
|State||Published - Jan 1 2019|