Developing concepts for optimal scheduling in distributed turbine engine control systems

Mehrdad Pakmehr, Roopa Chakravarthy Muralidhar, Louis Sutter, Eric Feron, Alireza Behbahani, Todd Keith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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 languageEnglish (US)
Title of host publicationAIAA Propulsion and Energy Forum and Exposition, 2019
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105906
StatePublished - Jan 1 2019
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-18


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