Fault Avoidance Control of Batch Processes with Uncontrollable Events and Unobservable Statuses

Abstract

Fault analysis, including accurate fault detection and careful fault avoidance, is very important for the stable and safe operation of a process. It is, however, difficult to rationally analyze faults occurring in a process using a rational process model. Since the behavior of a batch process is characterized by an event-driven state transition mechanism, a batch process is regarded as a discrete event system. The Petri net is a promising modeling tool for studies of discrete event systems. This paper presents a method of detecting faults and constructing fault avoidance controllers for batch processes with uncontrollable events and unobservable statuses based on Petri net analysis techniques and control schemes.