Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 12, Pages: 1-5
P. Gabriel Grace Keerthana* and J. Gnanasoundharam
Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai – 600119, Tamil Nadu, India; [email protected], [email protected]
*Author for correspondence
P. Gabriel Grace Keerthana
Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Chennai – 600119, Tamil Nadu, India; [email protected]
Objective: The Coupled Tank System is modeled and its level should be controlled. Methods: The conventional Proportional Integral (PI) controller, Model Reference Adaptive Controller (MRAC) and Fuzzy Logic Controller are used, to control the level of the second tank. The MRAC can alter the controller parameters in response to changes in plant and the reference model indicates properties of the desired control system. The Fuzzy Logic Controller uses a set of rules to control the plant. Findings: The simulation is done, which demonstrates that the MRAC controller delivers better response compared to the PI controller and Fuzzy Logic Controller. Applications: The Model Reference Adaptive controller can be implemented in various level control applications such as conical tank system, spherical tank system, etc.
Keywords: Coupled Tank System, Fuzzy Logic Controller, Model Reference Adaptive Controller (MRAC), PI Controller
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