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FUZZY CONTROL SYSTEMS FOR THERMAL PROCESSES: SYNTHESIS, DESIGN AND IMPLEMENTATION

Journal Name:

  • Istanbul University Journal of Electrical & Electronics Engineering

Publication Year:

  • 2003

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
A completed case study on fuzzy logic control of thermal processes has been carried out using a professional laboratory oven for industrial purpose as an experimental test rig. It involved system engineering design analysis, control synthesis, and implementation as well as application software and signal interface design and development. The resulting expertise and lessons learned are reported in this contribution. The structure of PD type of fuzzy logic controllers is closely discussed along with synthesis issues of membership functions and knowledge rule base. Special software was developed using Microsoft Visual Studio, C++ and Visual basic for GUI for a standard PC platform. The application software designed and implemented has four modules: FIS editor, Rule Editor, Membership Function Editor and Fuzzy Controller with Rule Viewer. Quality and performance of the overall fuzzy process control system have been investigated and validated to fulfill the required quality specifications.
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  • 1
759-773
  • English

REFERENCES

References: 

[1] J. Aracil, A. Ollero, and A. Garcia-Cerezo, “Stability indeces for the global analysis of expert control systems.” IEEE Trans. Systems, Man, and Cybernetics, vol. 19, no. 5, pp. 998-1007, 1989.
[2] K. J. Astroem and B. Wittenmark, Computer-Controlled Systems (3rd ed.). Englewood Cliffs, NJ: Prentice-Hall, 1997.
[3] J. A. Bernard, “Use of rule-based systems for process control.” IEEE Control Systems Mag, vol. 8, no.5, pp. 3-13, 1988.
[4] J. J. Buckley, “Universal fuzzy controllers.” Automatica, vol. 28, no. 6, pp. 1245-1248, 1992.
[5] A. di Nola, W. Pedrycz, S. Sessa, and P. Z. Wang, “Fuzzy relation equation under a class of triangular norms: A survey and new results.” Stochastica, vol. 8, no. 2, pp. 99-145, 1984.
[6] G. M. Dimirovski, R. Hanus, V. N. Burzevski, O. L. Iliev, and S. V. Ikonomovski,
772 Fuzzy Control Systems For Thermal Processes: Synthesis, Design And Implementation
Lyupco N. ANTOVSKI, Mile J. STANKOVSKI, Tatyana D. K. GUGULOVSKA, Georgi M. DIMIROVSKI
“A generic fuzzy controller for multivariable processes,” in Proceedings of the 1994 IEEE Industrial Electronics Conference, G. Buja, Gen. Chair and Ed., Bologna, IT, vol. 2, pp. 1359-1364. New York, NY: The IEEE, 1994.
[7] G. M. Dimirovski, Lectures on Computer Process Control: Pt. 5 Knowledge-base Fuzzy-logic Decision and Control (in Macedonian). Skopje, MK: FEE-ASE Institute, SS Cyril & Methodius University, 1995.
[8] G. M. Dimirovski, A. Dourado, N. E. Gough, B. Ribeiro, M. J. Stankovski, I. H. Ting, E. Tulunay, “On learning control in industrial furnaces and boilers,” in Proceedings of the 2000 IEEE International Symposium on Intelligent Control, P. P. Grumpos, N. T. Kousulas, and M. Polycarpou, Eds., Rion Patras, GR, pp. 67-72. Piscataway NJ: The IEEE and University of Patras, 2000.
[9] G. M. Dimirovski, G. M., A. Dourado, E. Ikonen, U. Kortela, J. Pico, B. Ribeiro, M. J. Stankovski, E. Tulunay, Learning Control of Thermal Systems, in K. J. Astroem, P. Albertos, M. Blanke, A. Isidori, W. Schauefelberger, and R. Sanz, Eds., Control of Complex Systems, Chapter 14, pp. 317-387. London, UK: Springer-Verlag, 2001.
[10] D. Driankov, H. Hellendorn, and M. Reinfrank, An Introduction to Fuzzy Control. Heidelberg, DE: Springer-Verlag,, 1993.
[11] H. Hellendorn and C. Tomas, “Defuzzification in fuzzy controllers.” J. Intelligent and Fuzzy Systems, vol. 1, no. 2, pp. 109-123, 1993.
[12] H. K. Khalil, Nonlinear Systems. New York, NY: Macmillan, 1992.
[13] W. J. M. Kickert and H. R. Van Nauta Lemke, “Application of fuzzy controller in a warm water plant.” Automatica, vol. 12, no. 4, pp. 301-308, 1976. J. Kiszka, M. Gupta, and P. Nikiforuk, “Energetistic stability of fuzzy dynamic systems.” IEEE Trans. Systems, Man, and Cybernetics, vol. 15, no. 5,pp. 783-792, 1985.
[14] J. G. Klir and B. Yuan, Fuzzy sets and Fuzzy Logic: Theory and Applications. Upper Saddle River, NJ: Prentice Hall, 1995.
[15] J. P. LaSalle and S. Lefschetz, Stability by Liapunov’s Direct Method with Applications. New York, NY: Academic Press, 1961.
[16] C. C. Lee, “Fuzzy logic in control systems: Fuzzy logic controller, Pts. I and II,” IEEE Trans. Systems, Man, and Cybernetics, vol. 20, pp. 404-418 and pp. 419-432, 1990.
[17] A. G. J. MacFarlane, Information, Knowledge, and Control, in Essays on Control Theory: Perspectives in the Theory and Its Applications, H. L. Trentelmann and J. C. Willems, Eds., Chapter 1, pp. 1-28. Boston, MA: Birkhauser, 1993.
[18] P. Magrez and P. Smets, “Fuzzy modus ponens:A new model suitable for applications in knowledge-based systems.” Intl. J. Intelligent Systems, vol. 5, pp. 181-200, 1989.
[19] J. Maires and Y. S. Sherif, “Application of fuzzy set theory.” IEEE Trans. Systems, Man and Cybernetics, vol. 15, no. 2, pp. 175-189, 1985.
[20] E. P. Mamdani, “Application of fuzzy algorithms for control of simple dynamic plant.” Proceedings Instn. Electr. Engrs., vol. 121, no. 12, pp. 1585-1588, 1974.
[21] E. P. Mamdani, “An experiment in linguistic synthesis with a fuzzy logic controller.” Intl. J. Man Machine Studies, vol. 7, pp. 1-13, 1975.
[22] E. P. Mamdani, “Advances in the linguistic synthesis of fuzzy logic controllers.” Intl. J. Man Machine Studies, vol. 8, pp. 669-678, 1976.
[23] E. P. Mamdani, “Application of fuzzy logic to approximate reasoning using linguistic synthesis.” IEEE Trans. Computer, vol. 6, pp. 1182-1191, 1977.
[24] E. P. Mamdani, “Twenty years of fuzzy control: Experiences gained and lessons learned,” in Fuzzy Logic Technology and Applications, R. E. Markus II, Ed., Invited Paper, pp. 19-24. New York, NY: The IEEE, 1994.
[25] K. S. Rao and D. D. Majumdar, “Application of circle criteria for stability analysis of SISO and MIMO systems associated with fuzzy logic controller.” IEEE Trans. Systems, Man, and Cybernetics, vol. 14, no. 2, pp. 354-359, 1984.
[26] K. Ogata, System Dynamics (2nd ed.). Englewood Cliffs, NJ: Prentice Hall, 1992.
[27] J. M. Rhine and R. J. Tucker, Modeling of Gas Fired Furnaces and Boilers. New York, NY: McGraw-Hill, 1991.
Fuzzy Control Systems For Thermal Processes: Synthesis, Design And Implementation 773
Lyupco N. ANTOVSKI, Mile J. STANKOVSKI, Tatyana D. K. GUGULOVSKA, Georgi M. DIMIROVSKI
[28] M. J. Stankovski, Non-Conventional Control of Industrial Energy Conversion Processes in Complex Heating Furnaces (Doctoral Thesis; Supervisor G.M. Dimirovski). Skopje, MK: SS Cyril and Methodius University, 1997.
[29] M. Sugeno, “An introductory survey of fuzzy control.” Information Science, vol. 36, pp. 59-83, 1984.
[30] R. M. Tong, “A retrospective view of fuzzy control systems.” Fuzzy Sets and Systems, vol. 14, pp. 199-210, 1984.
[31] Y. Wonsenk and B. Zeugnam, “Design of fuzzy logic controller with inconsistent rule base.” J. Intelligent and Fuzzy Systems, vol. 2, pp. 147-159, 1994.
[32] L.-X. Wang, Fuzzy Systems and Control. Upper Saddle River, NJ: Prentice-Hall, 1997.
[33] L. A. Zadeh, “Fuzzy sets.” Information and Control, vol. 8, pp. 338-353, 1965.
[34] L. A. Zadeh, “Quantitative fuzzy semantics.” Information Science, vol. 3, pp. 159-176, 1971.
[35] L. A. Zadeh, “Outline of a new approach to the analysis of complex systems and decision processes.” IEEE Trans. Systems, Man, and Cybernetics, vol. 3, no. 1, pp. 28-44, 1973.
[36] L. A. Zadeh, “The concept of linguistic variable and its application to approximate reasoning, Pts. I, II, and III.” Information Science, vol. 8, pp. 199-249, pp. 301-375, Vol. 9, pp. 47-80, 1975.
[37] L. A. Zadeh, “Inference in fuzzy logic.” Proceedings of the IEEE, vol. 68, pp. 124-131, 1980.
[38]L. A. Zadeh, “The calculus of if-then rules.” AI Expert, vol. 7, pp. 22-27, 1992.

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