Comparative Performance Analysis of PID Based NARMA-L2 and ANFIS Control for Continuous Stirred Tank Reactor
Bharti Panjwani1, Vijay Mohan2
1Bharti Panjwani, Department of Instrumentation & Control Engineering, National Institute of Technology, Jalandhar, India.
2Vijay Mohan, Department of Instrumentation & Control Engineering, National Institute of Technology, Jalandhar, India.

Manuscript received on October 27, 2013. | Revised Manuscript received on November 03, 2013. | Manuscript published on November 05, 2013. | PP: 20-23 | Volume-3 Issue-5, November 2013 . | Retrieval Number: E1853113513/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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