Interval Type-2 Fuzzy Model Based on Inverse Controller Design for the Outlet Temperature Control System of Ethylene Cracking Furnace

Abstract

Multivariable coupling, nonlinear and large time delays exist in the coil outlet temperature (COT) control system of the ethylene cracking furnace, which make it hard to achieve accurate control over the COT of the furnace in actual production. To solve these problems, an inverse controller based on an interval type-2 fuzzy model control strategy is introduced. In this paper, the proposed control scheme is divided into two parts: one is the approach structure part of the interval type-2 fuzzy model (IT2-FM), which is utilized to approach the process output. The other is the interval type-2 fuzzy model inverse controller (IT2-FMIC) part, which is utilized to control the output process to achieve the target value. In addition, on the cyber-physical system platform, the actual industrial data are used to test and obtain the mathematical model of the COT control system of the ethylene cracking furnace. Finally, the proposed inverse controller based on the IT2-FM control scheme has been implemented on the COT control system of the ethylene cracking furnace, and the simulation results show that the proposed method is feasible.

A review on type-2 fuzzy neural networks for system identification

“…The application of T2F-NNs in many problems is more efficient. For example, in the adaptive inverse control method, it is necessary to have an exact inverse model, which T2F-NNs can be used Kien et al 2020 ; Tavoosi et al 2011b ; Zhao et al 2017 . In predicting the future of a dynamic system such as a stock market or a weather situation, a recurrent type-2 fuzzy system could be a good model for these purposes José Ángel Barrios 2020 ; Eyoh et al 2020 ; Narges Shafaei Bajestani 2017 .…”