期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：5
页码：20-23
出版社：International Journal of Soft Computing & Engineering
摘要：This paper deals with two intelligent control schemes based on artificial neural network for temperature control in a jacketed Continuous Stirred Tank Reactor. Objective is to regulate the reactor temperature for an exothermic reaction taking place in the CSTR by manipulating the thermal condition of jacket. PID based NARMA-L2 and PID based ANFIS controller are designed and their performances are analyzed and compared. The simulation results show the priority of ANFIS control over NARMA-L2 control to achieve better response
关键词：Continuous Stirred Tank Reactor (CSTR); ;Nonlinear Auto Regressive Moving Average (NARMA); ;Adaptive-Network-Based Fuzzy Inference System (ANFIS); PID
