Simulation Performance of PID and Fuzzy Logic Controller for Higher Order Systems
Abstract
The proportional-integral derivative controller (PID Controller) is a control loop feedback mechanism (Controller) widely used in automatic process control applications in industry today to regulate flow, temperature, pressure, level, and many other industrial process variables. The high demand of PID controller is due to its fine control capabilities in a wide range of operating conditions. This paper presents design of PID controller using Ziegler–Nichols (ZN) technique for higher order systems. A fuzzy logic controller using simple approach and smaller rule set is also proposed. The aim of designed fuzzy controller is to present better control compared with the existing PID controller. The simulation is done using Matlab/Simulink by comparing the performance of two controllers for higher order systems. It is finally observed that fuzzy logic controller has better control on timing parameters such as settling time, rise time, maximum overshoot as compared to the existing PID tuning techniques.References
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[15]K.Ghousiya Begum, D.Mercy, H.Kiren Vedi, “An Expert System Based PID Controller for Higher Order Process” International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 2, Issue 5, October 2012.
[16] Jay Kumar, Richa Kapoor,Brijebdra, Hemant, Jyoti, “Comparative Analysis of Room Temperature Controller Using Fuzzy Logic and PID”, Advance in Electronic and Electric Engineering, Volume 3, Number 7 2013, pp. 853-858.
[17] Ahmed I. Mohamed, “Simplified Fuzzy Logic Controller Design for Higher Order Processes”, International Journal of Science and Research (IJSR), Volume 2 Issue 6, June 2013.
[18]Anil Kumar, Jyoshna .P, Seshadri .G, “Realization of Fuzzy Logic in Temperature Control System over PID”, International Journal of Engineering Research and Technology (IJERT), Vol. 3 Issue 7, July – 2014.
[19] Ritu Shakya, Kritika Rajonwal, Sanskriti Patel, Simta Dinkar, “Design and Simulation of PD,PID and Fuzzy logic Controller for Industry Application”, International Journal of Information and Computation Technology, Volume 4, No. 4, 2014, pp 363-368.
[20] Mohamed Temam Nasri and Witold Kinsner, “A Comparison Between Fuzzy Fractional and Integer-Order Contrsoller For Small Satellites Attitude Control”, IEEE 2014 Ryerson University Ontario, Toronto.
[21] H.Kala, D.Deepakraj, P.Gopalakrishnan, P.Vengadesan, M. Karumbal Iyyar, “Performance Evaluation of Fuzzy Logic and PID Controller for Liquid Level Process”, JIREEICE Vol. 2, Issue 3, March 2014.
[22] Danilo Pelusi and Raffaele Mascella, “Optimal Control Algorithms for Second Order System”, Journal of Computer Science, Vol.9, No.2, December 2014
[2] J.-S. Roger Jang, (1997): “Fuzzy Logic Toolbox User’s Guide COPYRIGHT 1984 - 1997 by The MathWorks”, Inc. All Rights Reserved Cheng- Yuan Liou and Yen-Ting Kuo.
[3] Ozdemir, E.; Ural, A.; Abut, N.; Karakas, E.; Olcer, E.; Karagoz, “Design of Fuzzy Logic Controller for DC-DC Converter Fedtraction Motor Drives Intelligent Control”, IEEE International Symposium 1997.
[4] Visioli,.A., “Tuning of PID Controllers with Fuzzy Logic,” IEEE Proceedings Control Theory and Applications, vol. 148, No. I , pp. 1-8 ,2001.
[5] Desborough, L. D., Miller, R. M., 2002, Increasing customer value of industrial control performance monitoring—Honeywell’s experience. Chemical Process Control–VI (Tuscon, Arizona, Jan. 2001, Vol. 98, AICHE Symposium Series No. 326, USA.
[6] Anavatti, S.G.; Salman, S.A.; Choi, J.Y., “Fuzzy and PID Controller forRobot Manipulator,” IEEE Int Conf on Intelligent Agents, Web Tech and Internet Commerce, International Conf, Vol., No., pp.75-75, 2006.
[7] S.R. Vaishnav, Z. J. Khan, “Design and Performance of PID and Fuzzy Logic Controllers with Smaller Rule Set for Higher Order System”, Proceeding of the World Congress on Engineering and Computer Science 2007, October 24-26, 2007, San Francisco, USA.
[8] Sheroz Khan, Salami Femi Abdulazeez, Lawal Wahab Adetunji, “Design and Implementation of an Optimal Fuzzy Logic Controller Using Genetic Algorithm”, Journal of Computer Science Journal of Computer Science Vol.4, 2008.
[9] Shamsuzzoha, M.Skogestad , “ The set point Overshoot method: A simple and fast closed-loop approach for PID tuning”, Journal of Process Control, Vol.20, 2010.
[10] Essam Natsheh, Khalid A. Buragga,“ Comparison Between Conventional and Fuzzy Logic PID Controlling DC Motor”, IJCSI, Vol7. Issue 5, September 2010.
[11]Farhad Aslam, Gagandeep Kaur, “Comparative Analysis of Conventional, P, PI, PID and Fuzzy Logic Controllers for the Efficient Control of Concentration in CSTR”, International Journal of Computer Applications Volume 17, No.6, March 2011.
[12] Morteza Esfandyari , Mohammad Ali Fanaei, Hadi Zohreie “Adaptive Fuzzy Tuning of PID Controllers” Neural Compute & Applic, Springer-Verlag London 2012.
[13] Rajkumar Bansal, A.Patra, Vijay Bhuria, “Design of PID Controller for Plant Control and Comparison with Z-N PID Controller”, International Journal of Emerging Technology and Advanced Engineering, Volume 2, Issue 4, April 2012.
[14] Shoubin Wang, Na Li, Fan Yang , “Resistance Furnace Temperature System on Fuzzy PID Controller”, Journal of Information & Computational Science 9: 9 2012.
[15]K.Ghousiya Begum, D.Mercy, H.Kiren Vedi, “An Expert System Based PID Controller for Higher Order Process” International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 2, Issue 5, October 2012.
[16] Jay Kumar, Richa Kapoor,Brijebdra, Hemant, Jyoti, “Comparative Analysis of Room Temperature Controller Using Fuzzy Logic and PID”, Advance in Electronic and Electric Engineering, Volume 3, Number 7 2013, pp. 853-858.
[17] Ahmed I. Mohamed, “Simplified Fuzzy Logic Controller Design for Higher Order Processes”, International Journal of Science and Research (IJSR), Volume 2 Issue 6, June 2013.
[18]Anil Kumar, Jyoshna .P, Seshadri .G, “Realization of Fuzzy Logic in Temperature Control System over PID”, International Journal of Engineering Research and Technology (IJERT), Vol. 3 Issue 7, July – 2014.
[19] Ritu Shakya, Kritika Rajonwal, Sanskriti Patel, Simta Dinkar, “Design and Simulation of PD,PID and Fuzzy logic Controller for Industry Application”, International Journal of Information and Computation Technology, Volume 4, No. 4, 2014, pp 363-368.
[20] Mohamed Temam Nasri and Witold Kinsner, “A Comparison Between Fuzzy Fractional and Integer-Order Contrsoller For Small Satellites Attitude Control”, IEEE 2014 Ryerson University Ontario, Toronto.
[21] H.Kala, D.Deepakraj, P.Gopalakrishnan, P.Vengadesan, M. Karumbal Iyyar, “Performance Evaluation of Fuzzy Logic and PID Controller for Liquid Level Process”, JIREEICE Vol. 2, Issue 3, March 2014.
[22] Danilo Pelusi and Raffaele Mascella, “Optimal Control Algorithms for Second Order System”, Journal of Computer Science, Vol.9, No.2, December 2014
Published
2016-03-05
How to Cite
Sharma, G., Mohindru, P., & Mohindru, P. (2016). Simulation Performance of PID and Fuzzy Logic Controller for Higher Order Systems. Majlesi Journal of Mechatronic Systems, 5(1). Retrieved from https://ms.majlesi.info/index.php/ms/article/view/237
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