Design of a Knowledge-Based Model of Process Dynamics

Abstract

To synthesize dynamics with nonlinearities or distributed parameter structures in a simple manner for process controlling and diagnosis, we propose a knowledge-based modelling method. In this method, the structures of the process and the internal relations between the states are presented in a petri-net like data structure and the relations between the states are described with rules of mathematical procedure and linguistic logics (production rules or fuzzy inference rules).
To illustrate this method, a model of a once-through type evaporator is presented. Complex characteristics can be described mainly with simple conservation laws.