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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© 2013 Springer-Verlag Berlin Heidelberg
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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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