Academic Journals Database
Disseminating quality controlled scientific knowledge

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

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;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Continuous Stirred Tank Reactor (CSTR) | Nonlinear Auto Regressive Moving Average (NARMA) | Adaptive-Network-Based Fuzzy Inference System (ANFIS) | PID.

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.
Why do you need a reservation system?      Affiliate Program