This paper presents a fault detection and isolation (FDI) approach for actuator faults of complex thermal management systems. In the case of safety critical systems, early fault diagnosis not only improves system reliability, but can also help prevent complete system failure (i.e., aircraft system). In this work, a robust unknown input observer (UIO)-based actuator FDI approach is applied on an example aircraft fluid thermal management system (FTMS). Robustness is achieved by decoupling the effect of unknown inputs modeled as additive disturbances (i.e., modeling errors, linearization errors, parameter variations, or model order reduction errors) from the residuals generated from a bank of UIOs. Robustness is central to avoid false alarms without reducing residual sensitivity to actual faults in the system. System dynamics are modeled using a graph-based approach. A structure preserving aggregation-based model-order reduction technique is used to reduce the complexity of the dynamic model. A reduced-order linearized state space model is then used in a bank of UIOs to generate a set of structured robust (in the sense of disturbance decoupling) residuals. Simulation and experimental results show successful (i.e., no false alarms) actuator FDI in the presence of unknown inputs.
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June 2019
Research-Article
Fault Detection and Isolation for Complex Thermal Management Systems
Pamela J. Tannous,
Pamela J. Tannous
Mechanical Science and Engineering
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: tannous2@illinois.edu
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: tannous2@illinois.edu
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Andrew G. Alleyne
Andrew G. Alleyne
Mechanical Science and Engineering
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: alleyne@illinois.edu
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: alleyne@illinois.edu
Search for other works by this author on:
Pamela J. Tannous
Mechanical Science and Engineering
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: tannous2@illinois.edu
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: tannous2@illinois.edu
Andrew G. Alleyne
Mechanical Science and Engineering
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: alleyne@illinois.edu
Department,
University of Illinois at Urbana-Champaign,
Urbana, IL 61801
e-mail: alleyne@illinois.edu
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received May 15, 2018; final manuscript received January 26, 2019; published online February 21, 2019. Assoc. Editor: Youngsu Cha.
J. Dyn. Sys., Meas., Control. Jun 2019, 141(6): 061008 (10 pages)
Published Online: February 21, 2019
Article history
Received:
May 15, 2018
Revised:
January 26, 2019
Citation
Tannous, P. J., and Alleyne, A. G. (February 21, 2019). "Fault Detection and Isolation for Complex Thermal Management Systems." ASME. J. Dyn. Sys., Meas., Control. June 2019; 141(6): 061008. https://doi.org/10.1115/1.4042675
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