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Comparison of Controller Performance of Fuzzy with PID for a Level Control of Conical Tank System

Author(s): A.Srividya | M. Viswanath | T.K.S.Ravi Kiran | M.Ayeesha siddiqa

Journal: International Journal of Advanced Research in Computer Science
ISSN 0976-5697

Volume: 04;
Issue: 05;
Start page: 18;
Date: 2013;
Original page

Keywords: Conical | Tank | PID | Reply | Feedback | Test | Fuzzy | Conroller | Rule | Base | MATLAB/ SIMULINK

This paper attempts to design the controllers like Adaptive PI, Fuzzy Logic Control (FLC) for the conical tank (Non-linear Process) to maintain the liquid level in tank. The level control becomes quite typical due to the nonlinear shape of tank i.e. the rate of rise of water in the narrow part is high and gets reduced as height increases thus causing non-linearity in the level. The time constant and gain vary as a function of level. Proportional-integral-derivative (PID) controllers are widely used in many industrial control systems for several decades. Fuzzy logic is one of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. The design of intelligent control systems has become an area of intense research interest. The development of an effective methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The most commonly used controller in the industry field is the proportional-plus-integral-plus-derivative (PID) controller. Fuzzy logic controller (FLC) provides an alternative to PID controller, especially when the available system models are inexact or unavailable. A fuzzy logic controller (FLC) is based on a set of control rules (fuzzy rules) among linguistic variables.
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