Bond graph model based design of supervision algorithm for distributed fault tolerant control systems Online publication date: Thu, 19-Apr-2007
by A.K. Samantaray, Sanjoy K. Ghoshal, Saurav Chakraborty
International Journal of Automation and Control (IJAAC), Vol. 1, No. 1, 2007
Abstract: For distributed analytical model based fault detection, some additional signals besides those required for distributed process control are required to evaluate residuals. This paper presents a graphical means of identifying those signals for design of a supervision system by analysing the causal structure in the bond graph model of a process. The global fault isolation scheme is initially implemented at a central monitoring system based on the alarm states generated at distributed controlling units. In safety critical systems, to minimise dependence on network communication, causality analysis is used to identify appropriate sensors that lead to information decoupling between various localised units of the process. Consequently, each controlling unit, called a smart station, is able to perform its own fault isolation and Fault Tolerant Control (FTC). The central monitoring system is used only for supervision of interfaces between different smart stations and operator mode management.
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