Abstract
A structural analysis of plantwide processes for application of multi-rate distributed estimation and control is presented. The methodology is demonstrated in two separate case studies involving a simulated industrial reaction-separation system and a pulp mill process. In both cases, the internodal transformation analysis is employed to examine various distributed control network topologies. The partitioning of the process model into interacting subsystems is semi-automatic: it is guided by the mathematical model and phenomenological information about plant flowsheet. Distributed model and internodal communication structure are obtained from global state–space matrices, thus combining the topology of plant flowsheet and the interaction dynamics across the plant subunits. Heuristic guidelines are proposed to balance the computational load and communication overhead across the distributed control network.
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