Fault detection and isolation for complex thermal management systems

Pamela J. Tannous, Andrew G. Alleyne

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

Abstract

In this paper, a robust unknown input observer-based actuator fault detection and isolation (FDI) scheme is applied on an example aircraft fluid thermal management system (FTMS). System dynamics are modeled using a graph-based approach. A linearized state space model is used in a bank of unknown input observers (UIOs) to generate a set of structured robust (in the sense of disturbance decoupling) residuals. Simulation results show successful actuator FDI in the presence of unknown inputs.

Original languageEnglish (US)
Title of host publicationControl and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851906
DOIs
StatePublished - Jan 1 2018
EventASME 2018 Dynamic Systems and Control Conference, DSCC 2018 - Atlanta, United States
Duration: Sep 30 2018Oct 3 2018

Publication series

NameASME 2018 Dynamic Systems and Control Conference, DSCC 2018
Volume2

Other

OtherASME 2018 Dynamic Systems and Control Conference, DSCC 2018
CountryUnited States
CityAtlanta
Period9/30/1810/3/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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    Tannous, P. J., & Alleyne, A. G. (2018). Fault detection and isolation for complex thermal management systems. In Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems (ASME 2018 Dynamic Systems and Control Conference, DSCC 2018; Vol. 2). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DSCC2018-9132