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Comparative Study between Tank’s Water Level Control Using PID and Fuzzy Logic Controller

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Soft Computing Applications

Abstract

Conventional Proportional Integral Controllers are used in many industrial applications due to their simplicity and robustness. The parameters of the various industrial processes are subjected to change due to change in the environment. These parameters may be categorized as input flow, output flow, water level of the industrial machinery in use. Various process control techniques are being developed to control these variables. In this paper, the Water Level parameters of a Tank are controlled using conventional PID controller and then optimized using fuzzy logic controller. Considering final results, the comparison between literature and the results of this paper’s method illustrates that fuzzy logic controller results are considerably striking rather than others. The measured maximum overshoot for fuzzy logic controller in comparison with the measured value for the conventional PID controller reduced effectively. Besides, the settling times for both fuzzy logic and PID controllers are measured and it shows that the efficiency of fuzzy logic controller is completely reliable than the others which shows the superiority of fuzzy logic controller.

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References

  1. Mamdani, E.H.: Application of Fuzzy Algorithms for the Control of a Dynamic Plant. Proc. IEEE (December 1974)

    Google Scholar 

  2. Zadeh, L.A.: Fuzzy logic = computing with words. IEEE Trans. Fuzzy Syst. 4, 103–111 (1996)

    Article  Google Scholar 

  3. Khallil, H.K.: Nonlinear Systems. Macmilan, New York (1992)

    Google Scholar 

  4. Chen, G., Pham, T.: Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems. CRC, New York (2001)

    Google Scholar 

  5. Zhao, Z.Y., Tomizuka, M., Isaka, S.: Fuzzy gain scheduling of PID controllers. IEEE Trans. Syst. Man Cybern. 23, 1392–1398 (1993)

    Article  Google Scholar 

  6. Wang, L.X.: A course in Fuzzy systems and controls. Prentice-Hall, Upper Saddle River (1997)

    Google Scholar 

  7. Wang, L.X.: Adaptive Fuzzy Systems and Control: Design and Stability Analysis. Prentice-Hall, Upper Saddle River (1994)

    Google Scholar 

  8. Li, W.: Design of a hybrid fuzzy logic proportional plus conventional integral-derivative controller. IEEE Trans. Fuzzy Syst. 6, 449–463 (1998)

    Article  Google Scholar 

  9. Er, M.J., Sun, Y.L.: Hybrid fuzzy proportional-integral plus conventional derivative control of linear and nonlinear systems. IEEE Trans. Ind. Electron. 48, 1109–1117 (2001)

    Article  Google Scholar 

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Correspondence to Davood Mohammadi Souran .

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Souran, D.M., Abbasi, S.H., Shabaninia, F. (2013). Comparative Study between Tank’s Water Level Control Using PID and Fuzzy Logic Controller. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_15

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  • DOI: https://doi.org/10.1007/978-3-642-33941-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33940-0

  • Online ISBN: 978-3-642-33941-7

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