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Comparative Performance Analysis of PID Based NARMA-L2 and ANFIS Control for Continuous Stirred Tank Reactor

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Author(s): Bharti Panjwani | Vijay Mohan

Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307

Volume: 3;
Issue: 5;
Start page: 20;
Date: 2013;
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Keywords: Continuous Stirred Tank Reactor (CSTR) | Nonlinear Auto Regressive Moving Average (NARMA) | Adaptive-Network-Based Fuzzy Inference System (ANFIS) | PID.

ABSTRACT
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.
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