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Design of Liquids Mixing Control System using Fuzzy Time Control Discrete Event Model for Industrial Applications
Abstract:This paper presents a time control liquids mixing system in the tanks as an application of fuzzy time control discrete model. The system is designed for a wide range of industrial applications. The simulation design of control system has three inputs: volume, viscosity, and selection of product, along with the three external control adjustments for the system calibration or to take over the control of the system autonomously in local or distributed environment. There are four controlling elements: rotatory motor, grinding motor, heating and cooling units, and valves selection, each with time frame limit. The system consists of three controlled variables measurement through its sensing mechanism for feed back control. This design also facilitates the liquids mixing system to grind certain materials in tanks and mix with fluids under required temperature controlled environment to achieve certain viscous level. Design of: fuzzifier, inference engine, rule base, deffuzifiers, and discrete event control system, is discussed. Time control fuzzy rules are formulated, applied and tested using MATLAB simulation for the system.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1328114Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2069
 M.Y. Hassan, Waleed F.Sharif. "Design of FPGA based PID-like Fuzzy Controller for Industrial Applications", IAENG International Journal of Computer Science, 34:2,IJCS_34-2-05.
 Shabiul Islam,Shakowat,"Development of a Fuzzy Logic Controller Algorithm for Air-conditioning System", ICSE2006 Proc2006 IEEE.
 M.Saleem Khan,"Fuzzy Time Control Modeling of Discrete Event Systems", ICIAR-51, WCECS 2008, pp.683-688.International Conference on Intelligent Automation and Robotics. U.S.A.2008.
 Y.Y. Chen and T.C Tsao,"A description of the dynamic behaviour of fuzzy systems", IEEE TransVol.19,July 1989, pp. 745-755.
 W. Pedryez, J.V. de Oliveia,"Optimization of Fuzzy Models", IEEE Trans.Syst. Man, Cybern,Vol. 26, August. 1996, pp. 627-636.
 B. P. Zeigler, P. Herbert," Theory of Modeling and Simulation,Integrating Discrete Event and Continuous Complex Dynamic Systems" IEEE Press, 1994.
 M. Sugeno, Tanaka,"Successive identification of a fuzzy model and its application to prediction of a complex system", fuzzy sets syst. Vol. 42,1991, pp. 315-334.
 Rolf Isermann, "On Fuzzy Logic Applications for Automatic Control,Supervision, and Fault Diagnosis", IEEE Trans. On system, man and cybernetics, vol. 28, NO.2 March 1998.