Fuzzy Logic Control Lev

ELInternational Journal of Advances in Engineering & Technology, July 2012. ©IJAET ISSN: 2231-1963

LIQUID LEVEL CONTROL BY USING FUZZY LOGIC CONTROLLER
Dharamniwas1 and Aziz Ahmad2 and Varun Redhu3 and Umesh Gupta4
1

M.Tech (2nd Year),Al-falah School of Enggineering & Technology, Dhauj, Faridabad
2 3

er.dnyadav@gmail.com

Prof., Al-falah School of Enggineering & Technology, Dhauj,Faridabad
azizjmi98@gmail.com varunredhu@rediffmail.com

M.Tech (2nd Year), Laxmi Devi Institue of Enggineering & Technology, Alwar
4

Asst. Prof., Laxmi Devi Institue of Enggineering & Technology, Alwar
Umegut1@gmail.com

ABSTRACT
Fuzzy Logic is a paradigm for an alternative design methodology, which can be applied in developing both linear and non-linear systems for embedded control. Byusing fuzzy logic, designers can realize lower development costs, superior features, and better end product performance..In control systems there are a number of generic systems and methods which are encountered in all areas of industry and technology. From the dozens of ways to control any system, it turns out that fuzzy is often the very best way. The only reasons are faster and cheaper. One ofsuccessful application that used fuzzy control is liquid tank level control. The purpose of this project is to design a simulation system of fuzzy logic controller for liquid tank level control by using simulation package which is Fuzzy Logic Toolbox and Simulink in MATLAB software. By doing some modification of this project, the design will be very useful for the system relates to liquid levelcontrol that widely use in industry nowadays. For a long time, the choice and definition of the parameters of PID are very difficult. There must be a bad effect if that you do not choose nicely parameters. To strictly limit the overshoot, using Fuzzy Control can achieve great control effect. In this paper, we take the liquid level water tank , and use MATLAB to design a Fuzzy Control. Then weanalyze the control effect and compare it with the effect of PID controller. As a result of comparing, Fuzzy Control is superior to PID control. Especially it can give more attention to various parameters, such as the time of response, the error of steadying and overshoot. Comparison of the control results from these two systems indicated that the fuzzy logic controller significantly reduced overshootand steady state error. The fuzzy logic controller used in this study was designed with Lab VIEW(R) a product of National Instruments Corporation. Lab VIEW(R) is an icon-based graphical programming tool with front panel user interfaces for control and data visualization and block diagrams for programming.

KEYWORDS:

PID, FLC, Rule Viewer, FIS, GUI

I.

LIQUID LEVEL CONTROLLER

1.1Introduction
While modern control theory has made modest inroad into practice, fuzzy Logic control has been rapidly gaining popularity among practicing engineers. This increased popularity can be attributed to the fact that fuzzy logic provides a powerful vehicle that allows engineers to incorporate human reasoning in the control algorithm. As opposed to the modern control theory, fuzzy logic designis not based on the mathematical model of the process. The controller designed using fuzzy logic implements human reasoning that has been programmed into fuzzy logic language (membership functions, rules and the rules interpretation)It is interesting to note that the success of fuzzy logic control is largely due to the awareness to its many industrial applications. Industrial interests in fuzzy537

Vol. 4, Issue 1, pp. 537-549

International Journal of Advances in Engineering & Technology, July 2012. ©IJAET ISSN: 2231-1963
logic control as evidenced by the many publications on the subject in the control literature has created an awareness of its interesting importance by the academic community[1]. Starting in the early 90s, the Applied Research Control Lab at Cleveland State...