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Online Prognostics for Fuel Thermal Management System

[+] Author Affiliations
Martin P. DeSimio

University of Dayton Research Institute, Dayton, OH

Brandon M. Hencey, Adam C. Parry

Air Force Research Laboratory (RQQI, RQQD), Wright-Patterson AFB, OH

Paper No. DSCC2015-9842, pp. V001T08A003; 7 pages
doi:10.1115/DSCC2015-9842
From:
  • ASME 2015 Dynamic Systems and Control Conference
  • Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems
  • Columbus, Ohio, USA, October 28–30, 2015
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5724-3
  • Copyright © 2015 by ASME

abstract

Modern tactical aircraft subsystems face challenging weight and volume limitations. In addition, power and thermal subsystems have grown increasingly flight critical with each successive generation. Consequently, next generation power and thermal systems must reliably operate under narrower margins to enable electrically and thermally demanding capabilities, such as directed energy weapons. The ability to narrow these margins is ultimately limited by the ability to guarantee mission objectives despite variations and uncertainty in power and thermal system performance. This paper demonstrates online prognostic methods applied to a fuel thermal management system. Furthermore, this paper highlights the need for future research to quantify the effects on mission objectives caused by discrepancies between nominal and actual conditions for aircraft designs based on models of highly integrated systems.

Copyright © 2015 by ASME

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