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Fuzzy Logic based PID Controller for pH Neutralization Process

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 95 - Number 6
Year of Publication: 2014
Irene Martina Jebarani. D
T. Rammohan

Irene Martina Jebarani. D and T Rammohan. Article: Fuzzy Logic based PID Controller for pH Neutralization Process. International Journal of Computer Applications 95(6):36-40, June 2014. Full text available. BibTeX

	author = {Irene Martina Jebarani. D and T. Rammohan},
	title = {Article: Fuzzy Logic based PID Controller for pH Neutralization Process},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {95},
	number = {6},
	pages = {36-40},
	month = {June},
	note = {Full text available}


The automation of a Water treatment plant involves monitoring and control of various parameters like Temperature, Pressure, Level, Flow and Vibration in the plant. Process Control plays a major role in the automation industry. The intricacy of any control mechanism has only increased due to an unprecedented increase in the requirements, instrumentation and various control loops. Therefore a simple PID control mechanism is not a practical option for efficient control of any real - time process, let alone automation of an entire plant. This paper presents an improved version of the classic PID control mechanism that is the use of Fuzzy control logic along with the PID control for the pH neutralization process in a water treatment plant. The implementation of this procedure will be relevant for any multivariable process.


  • Alvarez, H. , Londono, C. , de Sciascio, F. , & Carelli, R. , "PH neutralization process as a benchmark for testing nonlinear controllers", Industrial & Engineering Chemistry Research, vol. 40, no. 11, pp. 2467-2473, 2001.
  • Bar-Eli, K. & Noyes, R. M. , "A model for imperfect mixing in a CSTR", The Journal of Chemical Physics, vol. 85, no. 6, pp. 3251-3257, 1986.
  • Bates, R. G. , Determination of pH: Theory and Practice, 2 edn, John Wiley & Sons, Inc, New York, 1973.
  • B. Hamed and A. El Khateb, "Hybrid Takagi-Sugeno fuzzy FED PID control of nonlinear systems," Intelligent Systems and Automation, vol. 1019, pp. 99-102, 2008.
  • Bohn, C. & Atherton, D. P. , "SIMULINK package for comparative studies of PID anti- windup strategies", Proceedings of the IEEE/IFAC Joint Symposium on Computer-Aided pp. 447-452, 1994.
  • Bohn, C. & Atherton, D. P. , "Analysis package comparing PID anti-windup strategies", IEEE Control Systems Magazine, vol. 15, no. 2, pp. 34-40, 1995.
  • Butler, J. N. , Ionic Equilibrium : A Mathematical Approach Addison-Wesley Publishing, Inc. , London. 1964.
  • Christian, G. D. , "Acid-Base Equilibria," in Analytical Chemistry, Sixth edn, John Wiley & Sons, Inc. , United States of America, pp. 214-260. 2004.
  • George, J. K. & Yuan B, Fuzzy Sets and Fuzzy Logic : Theory and Applications Prentice Hall, PTR, New Jersey. 1995.
  • Gong, M. & Murray-Smith, D. J. , "A practical exercise in simulation model validation", Mathematical and Computer Modelling of Dynamical Systems, vol. 4, no. 1, pp. 100-117. 1998.
  • Gustafsson, T. K. , "Calculation of the pH value of a mixture solutions—an illustration of the use of chemical reaction invariants", Chemical Engineering Science, vol. 37, no. 9, pp. 1419-1421, 1982.
  • Gustafsson, T. K. & Waller, K. V. , "Dynamic modeling and reaction invariant control of pH", Chemical Engineering Science, vol. 38, no. 3, pp. 389-398. , 1983.
  • Gustafsson, T. K. & Waller, K. V. , "Nonlinear and adaptive control of pH", Industrial & Engineering Chemistry Research, vol. 31, no. 12, pp. 2681-2693, 1992.
  • Gustafsson, T. K. , Skrifvars, B. O. , Sandstroem, K. V. , & Waller, K. V. "Modeling of pH for Control", Industrial & Engineering Chemistry Research, vol. 34, no. 3, pp. 820-827, 1995.
  • Harvey, D. , Morden Analytical Chemistry The McGraw-Hill Companies, Inc. , Singapore. 2000.
  • Henson, M. A. & Seborg, D. E. , "Adaptive nonlinear control of a pH neutralization process", Control Systems Technology, IEEE Transactions on, vol. 2, no. 3, pp. 169-182, 1994.
  • Jamshidi, M. , Ross, T. J. , & Vadiee, N. , Fuzzy Logic and Control: Software and Hardware Applications Prentice Hall, Inc. , New Jersey. 1993.
  • Jutila, P. & Orava, J. P. , "Control and Estimation Algorithms for Physico- Chemical Models of pH-Processes in Stirred Tank Reactors", International Journal of Systems Science,vol. 12, no. 7, pp. 855-875, 1981.
  • Jutila, P. , "An application of adaptive pH-control algorithms based on physicochemical in a chemical waste-water treatment plant", International Journal of Control, vol. 38, no. 3, pp. 639-655. 1983.
  • Jutila, P. & Visala, A. , "Pilot plant testing of an adaptive pH-control algorithm based on physico-chemical modelling", Mathematics and Computers in Simulation, vol. 26, no. 6, pp. 523-533, 1984.
  • Karr, C. L. , "Design of a cart-pole balancing fuzzy logic controller using a genetic algorithm", Proceeding of The International Society for Optical Engineering, vol. 1468, pp. 26-36. 1991.
  • Karr, C. L. & Gentry, E. J, "Fuzzy control of pH using genetic algorithms", IEEE Transactions on Fuzzy Systems, vol. 1, no. 1, pp. 46-53. 1993.
  • Kelkar, B. & Postlethwaite, B. 1994, "Fuzzy- model based pH control", IEEE International Conference on Fuzzy Systems, vol. 1, pp. 661-666. 1994.
  • McAvoy, T. J. , Hsu, E. , & Lowenthals, S. , "Dynamics of pH in controlled stirred tank reactor", Ind Eng Chem Process Des Develop, vol. 11, no. 1, pp. 68-78, 1972.
  • Murray-Smith, D. J, "Issues of Model Accuracy and External Validation for Control System Design", Acta Polytechnica, vol. 40, no. 3. 2000.
  • Murray-Smith, D. J. , "Simulation Model Quality Issues In Engineering: A Review", Proceedings 5th Symposium on Mathematical Modelling, MATHMOD Vienna, Austria, 2006
  • Norhaliza Abdul Wahab, Reza Katebi and Jonas Balderud "Multivariable PID control of an Activated Sludge Wastewater Treatment Process",Department of Control and Instrumentation Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia Industrial Control Centre, Dept of Electronic and Electrical Engineering,
  • R. Ibrahim, "Practical modeling and control implementation studies on a ph neutalization plot plant", Department of Electronics and Electrical Engineering, University of Glasgow, 2008.
  • S. Marsili-Libelli , G. M. Maietti, "Energy-saving through remote control of a wastewater treatment plant", Department of Systems and Computers, University of Florence, Via S. Marta 3,50139, Florence, Italy (E-mail: marsili@dsi. unifi. it)
  • S. Vaishnav, Z. Khan. Design and Performance of PID and Fuzzy Logic Controller with Smaller Rule Set for Higher Order System. International Conference on Modeling, Simulation and Control, San Francisco, USA. Pages 24-26: 855–858, 2007.
  • Sung, S. W. , Lee, I. B. , & Yang, D. R. , "pH control using an identification reactor", Industrial and Engineering Chemistry Research, vol. 34, no. 7, pp. 2418- 2426, 1995.
  • Wright, R. A. , Smith, B. E. , & Kravaris, C. , "On-Line identification and nonlinear control of pH processes", Industrial and Engineering Chemistry Research, vol. 37, no. 6, pp. 2446-2461, 1998.
  • Wright, R. A. & Kravaris, C. , "On- line identification and nonlinear control of an industrial pH process", Journal of Process Control, vol. 11, no. 4, pp. 361-374, 2001.
  • Yoon, S. S. , Yoon, T. W. , Yang, D. R. , & Kang, T. S. , "Indirect adaptive nonlinear control of a pH process", Computers and Chemical Engineering, vol. 26, no. 9, pp. 1223-1230, 2002.