SETTING LIQUID LEVEL COUPLED TANK USING FUZZY ADAPTIVE CONTROL

Mohammad Erik Echsony, Noorsakti Wahyudi, Nur Asyik Hidayatullah

Abstract


Problem with Coupled Tanks is the appearance of interference in the flow that supplies the tank will make the response unstable, resulting in cross-interaction between each input and output. Fuzzy Logic Control (FLC) has its own advantages that is effective in dealing with complex non-linear systems. Adaptive Fuzzy control Auto tuning has the ability to maintain the steady state response value from interference. Adaptive Fuzzy methodology is attractive choice when formulation in the method proposed for the Coupled tank process. Adaptive Fuzzy control has the ability to maintain the steady state response value from interference. In this study using decoupling in the cross interaction process in each tank. Coupled Tanks on the TITO system can change the transfer function to SISO, so as to minimize the effect of interacting. The right way to design modeling is to pay attention to the state of the plant, so that the desired control model can overcome the non linearity of the TITO system. Adaptive Fuzzy method expected to have percent overshoot and better settling time value.

DOI : https://doi.org/10.26905/jeemecs.v1i2.2423


Keywords


Coupled Tanks, System, TITO, Fuzzy, Adaptive

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References


Abdulhakim, K. Ercument, K. (2008), “Performance Analysis of PM Synchronous Motors Using Fuzzy Logic And Self Tuning Fuzzy PI Speed Controls", The Arabian journals for science and engineering, Vol. 33, No. 1B, 153-177.

Arjin, N. Theeerachai, W. (2007), “Design of Decoupled Controller for TITO System using Characteristic Ratio Assignment”, International Conference on Control Automation and Systems, 957-962.

Chatchaval, P. Tianchai, S. (2009), “Decentralized Fuzzy Logic Controller for TITO Coupled Tanks Process”, CROS-SICE International Joint Conference, 2862-2866.

Laubwald, I. (1998), Coupled Tank system 1, England: Visiting-Scientist, Control System Principles.

Maruthai, S. Gunna, J.S. Ranganayhan, R.H. (2009), “Integrated Fuzzy Logic Based Intelligent Control of Three Tank System”, Serbian Journal of Electrical Engineering, Vol.6, No. 1, 1-14.

Muhammad, U.K. Muhammad, B.K. (2009), “Liquid level Control of Nonliear Coupled Tanks system using Linear Model Predictive Control”, Proceeding of IEEE, International Conference on Control Aplications,1-5

Satean, T. Santi, W. (2006), “Level Control in Horizontal Tank by Fuzzy Logic Controller”, SICE-ICASE International Joint Conference,2491-2494.

Suparoek, K. Vittaya, T. (2010), “Design of PI Controller Using MRAC Techniques for Coupled-Tanks Process”, International Conference on Controls, Automation and System, 485-490.

Tianchai, S. Arjin, N. (2007), “Design 2-DOF PI Controller with Decoupling for Coupled-Tank Process”, International Conference on Control Automation and Systems,339-344.

Wahyudi, Iwan, S. Eduward, T. (2008), “Tuning Parameter Kontrol Proporsional - Integral Menggunakan Sugeno Fuzzy Inference System,” Transmisi, Jurnal Teknik Elektro, Jilid 10, Nomor 2, hal. 97-102.




DOI: https://doi.org/10.26905/jeemecs.v1i2.2423

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