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Vol. 109, Issue 10, October 2009, pp. 21-28

 

Bullet

 

Neuro and Fuzzy Computing Approach for the Flow Sensorless Measurement

 

R. Kumar, and *P. Sivashanmugam

Modelling and Simulation Research Laboratory, Department of Chemical Engineering,

National Institute of Technology, Tiruchirappalli-620 015, India

Fax: +91 431 2500133

E-mail: psiva@nitt.edu

 

 

Received: 23 April 2009   /Accepted:  23 October 2009   /Published:  30 October 2009

 

Abstract: An attempt to use differential pressure induced by control valve for flow measurement has been proposed. The flow rate obtained by NFM model is closer to the actual value with the maximum error being 3.28 %. In NNM model, the error is 92.2% in the lower flow and 4.39 % in the higher flow rate. The air flow increases more linearly in NFM than NNM with valve position and pressure drops. ARM 7 processor used in this work is a high speed and low power consuming processor and this can be integrated with field bus, CAN bus and internet based system, which is being standardized internationally.

 

Keywords: Flow measurement, NFM model, Control valve, Pressure drop, ARM 7 processor

 

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