Fuzzy modeling and expert optimization control for industrial processes

Abstract

This paper presents the development of a real-time fuzzy expert optimization control system for industrial processes. The focus of this study is the application of fuzzy optimization control to a fluidized catalytic cracking unit (FCCU) in an oil refinery to optimize the cracking product distribution under a variable production environment. The system has been successfully implemented in a large production scale FCCU and the application results show significant benefits through fuzzy optimization control.