This paper is published in Volume-5, Issue-3, 2019
Area
Chemical Engineering, Process Dynamics And Control
Author
Dr. B. Ganesh, Dr. Anil Kumar K.
Org/Univ
Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India
Pub. Date
03 June, 2019
Paper ID
V5I3-1678
Publisher
Keywords
Continuous Stirred Tank Reactor, Fuzzy logic controller, IMC PID controller, Dynamic modeling, MATLAB SIMULINK

Citationsacebook

IEEE
Dr. B. Ganesh, Dr. Anil Kumar K.. Modeling and intelligent control of two tank Continuous Stirred Tank Reactor Systems (CSTRs) using Fuzzy logic Controller, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dr. B. Ganesh, Dr. Anil Kumar K. (2019). Modeling and intelligent control of two tank Continuous Stirred Tank Reactor Systems (CSTRs) using Fuzzy logic Controller. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Dr. B. Ganesh, Dr. Anil Kumar K.. "Modeling and intelligent control of two tank Continuous Stirred Tank Reactor Systems (CSTRs) using Fuzzy logic Controller." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

A two tank Continuous Stirred Tank Reactor (CSTR) is a typical chemical reactor system with highly non-linear characteristics where an efficient control of the product concentration in CSTR is achieved only through an accurate model. The dynamic model of the process is developed for a complex reaction system. A Fuzzy logic controller strategy is developed for a two tank continuous reactor system, which has high nonlinearity and wide operating range for a complex reaction system and it is compared with IMC based PID controller to control product concentration of the CSTR. Simulation studies have been carried out in MATLAB SIMULINK. The best controller has been chosen by comparing the criteria of response such as settling time, rise time, percentage of overshoot and steady state error. From the simulation studies, the Fuzzy controller has better performance than the conventional PID controller.