A Decentralized Service Based Architecture for Design and Modeling of Fault Tolerant Control Systems

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Mattias Nyberg Carl Svärd

Abstract

The paper presents a hierarchical architecture for fault tolerant control of mechatronic systems. In the architecture, both the diagnosis and the reconfiguration are completely decentralized according to the structure of the control system. In each module of the control system, diagnosis and reconfiguration are included and use only locally available signals. Therefore, no extra dependencies are added to the control system software, something which is important to facilitate efficient engineering of large scale system. All this is achieved by using a purely service oriented view of the system including both hardware and software. The service view with no cyclic dependencies is further used to obtain Bayesian networks for modeling the system.

How to Cite

Nyberg, . M., & Svärd, C. . (2010). A Decentralized Service Based Architecture for Design and Modeling of Fault Tolerant Control Systems. Annual Conference of the PHM Society, 2(2). https://doi.org/10.36001/phmconf.2010.v2i1.1914
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Keywords

Bayes network, Diagnosis and fault isolation methods, Modeling, Fault tolerant control

References
(Bonivento et al., 2003) Claudio Bonivento, Andrea Paoli, and Lorenzo Marconi. Fault-tolerant control of the ship propulsion system benchmark. Control Engineering Practice, 11(5):483 – 492, 2003. Auto- matic Control in Aerospace.

(Deb et al., 1995) S. Deb, K.R. Pattipati, V. Ragha- van, M. Shakeri, and R. Shrestha. Multi-signal flow graphs: a novel approach for system testability analysis and fault diagnosis. Aerospace and Electronic Systems Magazine, IEEE, 10(5):14–25, 1995.

(Gehin and Staroswiecki, 2008) A.L. Gehin and M. Staroswiecki. Reconfiguration analysis using generic component models. IEEE Trans. on Systems, Man, and Cybernetics. Part A: Systems and Humans, 38(3):575–583, 2008.

(GeNIe, 2010) GeNIe. Decision Systems Laboratory, University of Pittsburgh, URL: http://genie.sis.pitt.edu/, 2010.

(Grunske and Kaiser, 2005) L. Grunske and B. Kaiser. Automatic generation of analyzable failure propagation models from component-level failure annotations. International Conference on Quality Software, 2005.

(Jensen and Graven-Nielsen, 2007) F. Jensen and T. Graven-Nielsen. Bayesian Networks and Decision Graphs. Springer, 2 edition, 2007.

(Laprie, 1991) J.C Laprie, editor. Dependability: Basic Concepts and Terminology. Springer, 1991.

(Misra et al., 1994) A. Misra, J. Sztipanovits, and J. Carnes. Robust diagnostics: Structural redundancy approach. SPIE’s Symposium on Intelligent Systems, 1994.

(Mohamed and Zulkernine, 2008) A. Mohamed and M. Zulkernine. On failure propagation in component-based software systems. International Conference on Quality Software, pages 402–411, 2008.

(Staroswiecki, 2008) M. Staroswiecki. On fault handling in control systems. International Journal of Control, Automation, and Systems, 6(3):296–305, 2008.

(Storey, 1996) Neil Storey. Safety-Critical Computer Systems. Addison Wesley, 1996.

(Zhang and Jiang, 2008) Y. M. Zhang and J. Jiang. Bibliographical review on reconfigurable fault- tolerant control systems. IFAC Annual Reviews in Control, 32(2):229–252, 2008.
Section
Poster Presentations