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### 98 101

1. 1. ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 4, June 2012 Fuzzy logic Controller for Flowing Fluids Sahil Chandan, Rahul AgnihotriAbstract— Flow measurement and control are essential in Other factors that affect liquid flow rate include the liquidsplant process control. The aim of this paper is to do the viscosity and density, and the friction of the liquid in contactcomparative study of Fuzzy Logic controller and conventional with the pipe. Direct measurements of liquid flows can bePID controller for flowing fluids.These two controllers are made with positive-displacement flow meters. These unitsimplemented using MATLAB software.The fuzzylogic toolbox divide the liquid into specific increments and move it on.of the Matlab is to be used in order to implement the proposedcontroller. During the past several years, fuzzy control has The total flow is an accumulation of the measuredemerged as one of the most active and fruitful areas for increments, which can be counted by mechanical orresearch in the applications of fuzzy set theory, especially in electronic techniques. The performance of flow meters isthe realm of industrial processes, which do not lend themselves also influenced by a dimensionless unit called the Reynoldsto control by conventional methods because of a lack of Number. It is defined as the ratio of the liquids inertialquantitative data regarding the input-output relations. forces to its drag forces.Index Terms— Conventional control, Flow control, R = 3160 x Q x Gt (2)Fuzzy logic control, Matlab. Dxη Where, R = Reynolds number Q = liquids flow rate, gpm I. INTRODUCTION Gt = liquids specific gravityControl of liquid flow system is a routine requirement in D = inside pipe diametermany industrial processes. The control action of chemical η = liquids viscosity.and petroleum industries include maintaining the controlledvariables. Fuzzy logic control (FLC) can be applied for Laminar and turbulent flow are two types normallycontrol of liquid flow and level in such processes [1]. This encountered in liquid flow measurement operations. Mosttechnique is particularly attractive when the process is applications involve turbulent flow, with R values abovenonlinear. 3000. Viscous liquids usually exhibit laminar flow, with RWith most liquid flow measurement instruments, the flow values below 2000. The transition zone between the tworate is determined inferentially by measuring the liquids levels may be either laminar or turbulent.velocity or the change in kinetic energy. Velocity dependson the pressure differential that is forcing the liquid througha pipe or conduit. Because the pipes cross-sectional area is II. MAIN IDEA FLCknown and remains constant, the average velocity is anindication of the flow rate. The basic relationship fordetermining the liquids flow rate in such cases is:Q=VxA (1)where,Q = liquid flow through the pipeV = average velocity of the flow A = cross-sectional area of the pipe Manuscript received May, 2012. Sahil Chandan, pursuing Mtech in Instrumentation and Control,Punjab Technical University / Baba Banda Singh Bahadur College ofEngineering and Technology., (e-mail: sahil.chandan3333@gmail.com).City:-Jammu, INDIA, Phone No.. 01924-252459, 09988783073Asst.Prof. Rahul Agnihotri Electrical Department, Punjab Technical Fuzzy logic control is derived from fuzzy set theory. InUniversity / Baba Banda Singh Bahadur College of Engineering and fuzzy set theory, the transition between membership andTechnology, Fatehgarh Sahib (Punjab) INDIA, Mobile No09914543067., non-membership can be graded. Therefore, boundaries of(e-mail: rahul.agnihotribbsbec.ac.in). fuzzy sets can be vague and ambiguous, making it useful for approximate systems. Fuzzy Logic Controller (FLC) is an 98 All Rights Reserved © 2012 IJARCET