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Application of Fuzzy Logic Controlled Cathodic Protection on Iraq-Turkey Crude Oil Pipeline

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Abstract

Impressed current cathodic protection is widely used to prevent corrosion of structural steels. The major constituents, which accelerate corrosion, are resistivity, chlorides, sulfatesand the acidity (pH) of the soil. Because of these variations, the transformer-rectifier units must control and tune the output voltage depending on desired reference voltage steadily. Usually, classical controls such as PI and PID, have been widely used with their gains manually tuned based on the desired reference voltage. But, classical controls require different gains at the lower and higher end of the output voltage range to avoid overshoot and oscillation.

In this study, a closed loop control system incorporating fuzzy logic has been developed for tuning output voltage of the transformer-rectifier units. The algorithm based on fuzzy logic was implemented on a modern microcontroller (PIC16F877) allowing great flexibility for various real time applications. The desired reference voltage has been given by using keypad and output values have been displayed on an LCD. It is achieved by implementing an adaptation mechanism based on fuzzy logic controller to compensate for the variations and the dynamic changes in the environment. The proposed fuzzy logic controller was applied to two different areas on Iraq-Turkey crude oil pipeline. When the performance of the proposed fuzzy logic controller was observed, it has been seen that the output voltage of transformer-rectifier unit controlled by fuzzy logic controller has no overshoot and oscillation in the both areas.

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References

  1. K.R. Trethewey and J. Chamberlain, Corrosion for Science and Engineering, Addison Wesley: England, 1998.

    Google Scholar 

  2. H. Ying, “Theory and application of a novel fuzzy PID controller using a simplified Takagi-Sugeno rule scheme,” Information Sciences, vol. 123, pp. 281–293, 2000.

    MathSciNet  Google Scholar 

  3. J. Yen, R. Langari, L.A. Zadeh, Industrial Applications of Fuzzy Control and Intelligent Systems, IEEE Press: New York, 1995.

    Google Scholar 

  4. L.A. Zadeh, Fuzzy Sets, Information and Control, vol. 8, no. 3, pp. 338–353, 1965.

    MATH  MathSciNet  Google Scholar 

  5. L.A. Zadeh, Fuzzy Sets, Applications: Selected Papers, by L.A.Zadeh, John Wiley & Sons: New York, 1987.

  6. R.P.M. Procter, “Detrimental effects of cathodic protection: Embrittlement,” in Cracking Phenomena, Cathodic Protection Theory and Practice, edited by V. Ashworth and C.J.L. Booker, Publ Ellis Horwood, 1986.

  7. C. Adrade, C. Alonso, and J. Sarria, “Influence of relative humidity and temperature on the on-site corrosion rebars,” in Fourth CANMET/ACI International Conference on Durability of Cencrete, Sydney, Australia 1997.

  8. J.N. Wanklyn, “Input data for modeling marine cathodic protection,” in Cathodic Protection Theory and Practice, edited by V. Ashworth and C.J.L. Booker, Publ Ellis Horwood, 1986.

  9. R.B. Hatman and J.E. Wehlig, “A galvanic zinc-hydrogel system for CP of reinforced concrete structures,” in Proceedings of the International Conference on Corrosion & Rehabilitation of Reinforced Concrete Structures vol. 1, 1998.

  10. R. Babuska, Fuzzy Modeling for Control, Kluwer Academic Publishers, Boston, 1998.

    Google Scholar 

  11. M.A. Akcayol, A. Cetin, and C.Elmas, “An educational tool for fuzzy logic-controlled BDCM,” IEEE Trans.on Education, vol. 45–1, pp. 33–42, 2002.

    Google Scholar 

  12. A. Bicer, T. Koc, D. Altiparmak, E. Hasdemir, A. Asan, M.A. Akcayol, H. Isik, T. Serter, and N. Eyit, “Rehabilitation of cathodic protection systems project report,” BOTAS, Turkey, 2002.

  13. D.I. Sagias, E.N. Sarafis, C.I. Siettos, and G.V. Bafas, “Design of a model identification fuzzy adaptive controller and stability analysis of nonlinear processes,” Fuzzy Sets and Systems, vol. 121, no. 1, pp. 169–179, 2001.

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. Faculty of Engineering & Architecture, Department of Computer Engineering, Gazi University, Maltepe, Ankara, 06570, Turkey

    M. Ali Akcayol

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  1. M. Ali Akcayol
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Correspondence to M. Ali Akcayol.

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Akcayol, M.A. Application of Fuzzy Logic Controlled Cathodic Protection on Iraq-Turkey Crude Oil Pipeline. Appl Intell 24, 43–50 (2006). https://doi.org/10.1007/s10489-006-6928-x

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  • DOI: https://doi.org/10.1007/s10489-006-6928-x

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