Fault detection and isolation for complex thermal management systems

Pamela J. Tannous; Andrew G. Alleyne

doi:10.1115/DSCC2018-9132

Fault detection and isolation for complex thermal management systems

Pamela J. Tannous
, Andrew G. Alleyne

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	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
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791851906
DOIs	https://doi.org/10.1115/DSCC2018-9132
State	Published - 2018
Externally published	Yes
Event	ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 - Atlanta, United States Duration: Sep 30 2018 → Oct 3 2018

Publication series

Name	ASME 2018 Dynamic Systems and Control Conference, DSCC 2018
Volume	2

Other

Other	ASME 2018 Dynamic Systems and Control Conference, DSCC 2018
Country/Territory	United States
City	Atlanta
Period	9/30/18 → 10/3/18

Bibliographical note

Funding Information:
This material is based upon work supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro Thermal Systems (POETS) with cooperative agreement EEC-1449548.

Publisher Copyright:
Copyright © 2018 ASME

Publisher link

10.1115/DSCC2018-9132

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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

Fault detection and isolation for complex thermal management systems. / Tannous, Pamela J.; Alleyne, Andrew G.
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. American Society of Mechanical Engineers (ASME), 2018. (ASME 2018 Dynamic Systems and Control Conference, DSCC 2018; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tannous, PJ & Alleyne, AG 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), ASME 2018 Dynamic Systems and Control Conference, DSCC 2018, Atlanta, United States, 9/30/18. https://doi.org/10.1115/DSCC2018-9132

Tannous PJ, Alleyne AG. 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. American Society of Mechanical Engineers (ASME). 2018. (ASME 2018 Dynamic Systems and Control Conference, DSCC 2018). doi: 10.1115/DSCC2018-9132

Tannous, Pamela J. ; Alleyne, Andrew G. / Fault detection and isolation for complex thermal management systems. 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. American Society of Mechanical Engineers (ASME), 2018. (ASME 2018 Dynamic Systems and Control Conference, DSCC 2018).

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title = "Fault detection and isolation for complex thermal management systems",

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.",

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note = "Funding Information: This material is based upon work supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro Thermal Systems (POETS) with cooperative agreement EEC-1449548. Publisher Copyright: Copyright {\textcopyright} 2018 ASME; ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 ; Conference date: 30-09-2018 Through 03-10-2018",

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Fault detection and isolation for complex thermal management systems

Abstract

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