Temperature Control System Using ANFIS
1T.P.Mote is Lecturer in E&TC with Sinhgad Technical Education Society’s Sou. Venutai Chavan Polytechnic, Pune-411041, and Maharashtra, India.
2Dr.S.D.Lokhande is Professor in E&Tc Department in Sinhgad Technical Education Society’s Sinhgad College of Engineering, Pune-411041, and Maharashtra, India.
Manuscript received on February 15, 2012. | Revised Manuscript received on February 20, 2012. | Manuscript published on March 05, 2012. | PP: 156-161 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0407022112/2012©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 describes three important aspects: design, simulation and Implementation of Adaptive Neuro fuzzy system applied to the temperature variable of a thermal system with a range of 250C to 500C.An Adaptive Neuro Fuzzy Inference System (ANFIS) based controller is proposed for water temperature control. The generation of membership function is a challenging problem for fuzzy sytems and the response of fuzzy systems depends mainly on the membership functions. The ANFIS based input – output model is used to tune the membership functions in fuzzy system. Experimental results are compared with the conventional PID Controller and Neural Network Controller. All the controllers are tested in various operating conditions and varying set point changes and also for disturbance rejection. This shows that better performance can be achieved with ANFIS tuning.
Keywords: ANFIS, Artificial neural network, PID, Temperature control.