Model-Based Intelligent Process Control for Cogenerator Plants

Abstract This paper describes a new approach for the design and implementation of an intelligent monitoring and diagnostic system for a complex, practical system: a cogenerator plant. The methodology is based on multiple aspect modeling and model interpretation , which is used for instantiating a run-time system based on a graph-model of computation. Sensory input signals from the plant are processed and interpreted in the context of various models of the cogenerator system in real-time . The system demonstrated that the model-based approach has a significant impact not only on the functional performance of the control system, but dramatically reduces development time as well.