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Comparison between Classic PID, Integer Order PID and Fuzzy Logic Controller for Ceramic Infrared Heater: Analysis using MATLAB/Simulink
Vineet Shekher1, Pankaj Rai2, Om Prakash3
1Vineet Shekher, Electrical Engineering Department, Deen Bandhu Chhotu Ram University Science and Technology, Hindu College of  Engineering, Sonepat, Haryana, India.
2Pankaj Rai, Electrical Engineering Department, Vinoba Bhave University, Birsa Institute of  Technology, Sindri, Dhanbad, Jharkhand, India.
3Om Prakash, Chemical Engineering Department, Vinoba Bhave University, Birsa Institute of  Technology, Sindri, Dhanbad, Jharkhand, India.
Manuscript received on January 17, 2012. | Revised Manuscript received on February 05, 2012. | Manuscript published on February 29, 2012. | PP: 1-5 | Volume-1 Issue-3, February 2012. | Retrieval Number: C0226021312/2011©BEIESP

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© The Authors. 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 discusses the design, simulation and performance of ceramic infrared heater controller. This heater is energy saving potential, efficient heat transfer, uniform heating, efficient and instant heat. Many industries are increasibily making use of infrared technology as a means of improving their process. This type of heating often requires a large area of floor space. This study successfully developed a controller to achieve an effective and robust control of the infrared heating process. This paper consists three main tuning methods for IR heating system controller. Firstly, it presents design of PID controller using Zeigler Nichols (ZN) technique for first order plus time delay system using open loop step response method. Secondly, it presents the design of PID controller based on gain margin and phase margin (IOPID) for the same system. Thirdly, a fuzzy logic controller used for the same system for good stability and robust performance. Performance analysis shows the effectiveness of the ZN-PID, IOPID and fuzzy logic controller. 
Keywords: Zeigler Nichols, PID, IOPID, Gain margin, Phase margin, Fuzzy Logic