DocumentCode :
2162978
Title :
SDG model-based analysis of fault propagation in control systems
Author :
Yang, Fan ; Shah, Sirish ; Xiao, Deyun
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing
fYear :
2009
fDate :
3-6 May 2009
Firstpage :
1152
Lastpage :
1157
Abstract :
In the area of fault analysis, SDG (signed directed graph) models can be used to describe the system states and the fault propagation paths which are the composition of qualitative deviation from the normal state. In control systems, besides the natural relations caused by the physical properties, the forced control actions determine the dynamic properties of the systems, which cause the particularity of SDG model-based analysis. In this paper, the SDG description and the analysis methods of fault propagation in control systems are presented, and the typical cases like PID control, feedforward control, split-range control, cascade control etc are illustrated. A graphical analysis method is proposed to substitute the algebraic methods based on equations. These results can be expanded to various control systems and even be applied to large-scale industrial systems by the combination and connection of several basic elements.
Keywords :
algebra; control system analysis; directed graphs; fault diagnosis; large-scale systems; SDG model-based fault analysis; algebraic method; control system; fault propagation; forced control action; large-scale complex system; signed directed graph; Automatic control; Automation; Chemical analysis; Chemical engineering; Control system synthesis; Control systems; Differential algebraic equations; Force control; Large-scale systems; Steady-state; control systems; fault analysis; fault propagation; signed directed graph;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2009. CCECE '09. Canadian Conference on
Conference_Location :
St. John´s, NL
ISSN :
0840-7789
Print_ISBN :
978-1-4244-3509-8
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2009.5090306
Filename :
5090306
Link To Document :
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