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optoXense, Inc. SBIR Phase I Award, July 2018

A SBIR Phase I contract was awarded to optoXense, Inc. in July, 2018 for $149,887.0 USD from the U.S. Department of Defense and United States Air Force.

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Contents

sbir.gov/node/1596151
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
optoXense, Inc.
optoXense, Inc.
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Air Force
United States Air Force
0
Award Type
SBIR0
Contract Number (US Government)
FA8650-18-P-21390
Award Phase
Phase I0
Award Amount (USD)
149,8870
Date Awarded
July 9, 2018
0
End Date
July 9, 2019
0
Abstract

Digital communication channels are used to send control commands from control computer to actuators, andtransmit sensor information to control computer. These data may be used for safety-critical purposes, or monitoringpurposes. There is a need for computing communication bandwidth margins under all conditions encountered bydistributed propulsion control systems. Distributed computing environments differ from conventional environmentsin that there is the presence of a databus over which all messages are passed along. Limits on communicationsystems can dramatically impact the efficiency of control laws. In the context of limited communications, however,it is possible to quantify the degradation of the quality of control by devising optimal attention control policies. Suchattention control policies are founded on the fact that not all measurements or control data share the same value at agiven instant. It is therefore necessary to design optimal actuator/sensor scheduling policies that, given someavailable communication bandwidth, perform better than arbitrary scheduling policies. optoXense-Georgia-Techteam proposes optimal sensor/actuator scheduling policies by solving appropriate convex-optimization probleminvolving LMIs. In Phase-I, we will assess design trade-offs in the embedded system communication architectureand develop concepts for optimal sensor/actuator scheduling taking into consideration the impacts on controller and turbine-engine performance.

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