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Application of MATLAB Simulation Processes on Transfer Functions and Model Equations for Pneumatic Force-Balance Transmitter

C. P. Ukpaka, Obuah Emmanuel Chinweikpe

Abstract


An investigation was conducted to examine the application of MATLAB simulation processes on transfer functions and model equations for pneumatic force-balance transmitter. A mathematical model was developed to demonstrate the relationship between time and pressure as well as displacement in proportional, derivative and integral controllers. The results obtained revealed increase in times as well as increase in displacement for proportional controller, proportional integral controller and proportional derivative controller. MATLAB 2013 software was used in monitoring, predicting and simulating the characteristics of the system. The research work demonstrates the useful of MATLAB 2013 software on evaluating the functional parameters that control transfer functions and model equations for the pneumatic force-balance transmission process.

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References


P. Balle, F. Fuessel. Closed-loop fault diagnosis based on a nonlinear process model and automatic fuzzy rule generation, Engineering Applications of Artificial Intelligence. 2000; 13: 695--704p.

P. Baranyi, P. Korondi, R. J. Patton, H. Hashimoto. Tradeoff between approximation accuracy and complexity for its fuzzy models, Asian Journal of Control. 2004; 6: 21--33p.

D.A. Carter, I.L. Hirst, T.E. Maddison, S.A. Porter. Appropriate risk assessment methods for major accidents establishment, Transactions of the Institution of Chemical Engineers: Part B, Process Safety Environmental Protection. 2003; 81: 12--8p.

D.P. Eckman. Automatic Process Control. New Delhi: Wiley Eastern; 1958, 105--200p.

D. Humbird, A. Mohageghi, N. Dowe, D. Schell. Economic impact of total solids loading in enzymatic hydrolysis of dilute acid pretreated corn stover. Biotechnology Progress. 2010; 26: 1245--57p.

D.F.Y. Humbird. State of technology update – Biochem D. Milestone, Document # 10590. Golden, Coi National Renewable Energy Laboratory. http:/bwder.nrel.gov/bcfcdoc/10590.pdf.

S. Miroslav, N. Ho. Production of ethanol from cellulosic biomass hydrolysates using genetically engineering saccharomyces yeast capable of cofermenting glucose and xylose, Applied Biochemistry and Biotechnology. 2004; 114: 403--16.

K. Ogata. Modern Control Engineering, 2nd Edn. New Delhi: Prentice Hall of India; 1995, 71p.




DOI: https://doi.org/10.37628/jdcas.v4i1.763

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