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Vol. 121, Issue 10, October 2010, pp.50-55



Control System Design for Cylindrical Tank Process Using Neural Model Predictive Control Technique


M. Sridevi, P. Madhavasarma, S. Sundaram

Department of Electronics& Instrumentation Engineering, SASTRA University

Thanjavur 613401 Tamilnadu, India,

Tel.: +91(04362)264101, extn: 168, fax: +91(04362)264120

E-mail: mad_sarma@yahoo.co.in, spms1975@eie.sastra.edu, ssundar@sastra.edu



Received: 14 August 2010   /Accepted: 18 October 2010   /Published: 26 October 2010


Abstract: Chemical manufacturing and process industry requires innovative technologies for process identification. This paper deals with model identification and control of cylindrical process. Model identification of the process was done using ARMAX technique. A neural model predictive controller was designed for the identified model. The performance of the controllers was evaluated using MATLAB software. The performance of NMPC controller was compared with Smith Predictor controller and IMC controller based on rise time, settling time, overshoot and ISE and it was found that the NMPC controller is better suited for this process.


Keywords: Cylindrical process, Model identification, Neural model, ARMAX


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