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A Practically Validated Intelligent Calibration Circuit Using Optimized ANN for Flow Measurement by Venturi

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Abstract

Design of an intelligent flow measurement technique using venturi flow meter is reported in this paper. The objectives of the present work are: (1) to extend the linearity range of measurement to 100 % of full scale input range, (2) to make the measurement technique adaptive to variations in discharge coefficient, diameter ratio of venturi nozzle and pipe (β), liquid density, and liquid temperature, and (3) to achieve the objectives (1) and (2) using an optimized neural network. The output of venturi flow meter is differential pressure. It is converted to voltage by using a suitable data conversion unit. A suitable optimized artificial neural network (ANN) is added, in place of conventional calibration circuit. ANN is trained, tested with simulated data considering variations in discharge coefficient, diameter ratio between venturi nozzle and pipe, liquid density, and liquid temperature. The proposed technique is then subjected to practical data for validation. Results show that the proposed technique has fulfilled the objectives.

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Abbreviations

ABC:

Artificial bee colony

ACO:

Ant colony optimization

AL1:

Linear scheme using GNA

AL2:

Linear scheme using LMA

AL3:

Linear scheme using ABC

AL4:

BP trained by ACO

AL5:

BP trained by GA

AL6:

BP trained by PSO

BP:

Back propagation neural scheme

Cd :

Discharge coefficient

DCU:

Data conversion unit

GA:

Genetic algorithm

GNA:

Guass–Newton algorithm

LMA:

Levenberg–Marquardt algorithm

MSE:

Mean square error

NHL:

Number of hidden layers

OANN:

Optimized artificial neural network

PSO:

Particle swarm optimization

PM:

Performance measure

R:

Regression

SA:

Scheme and algorithm

β:

Diameter ratio of venturi nozzle to pipe

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Author information

Authors and Affiliations

  1. Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal, 576104, Karnataka, India

    Santhosh Krishnan Venkata

  2. Department of Electrical Engineering, National Institute of Technology Silchar, Cachar, 788010, Assam, India

    Binoy Krishna Roy

Authors
  1. Santhosh Krishnan Venkata
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  2. Binoy Krishna Roy
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Correspondence to Santhosh Krishnan Venkata.

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Venkata, S.K., Roy, B.K. A Practically Validated Intelligent Calibration Circuit Using Optimized ANN for Flow Measurement by Venturi. J. Inst. Eng. India Ser. B 97, 31–39 (2016). https://doi.org/10.1007/s40031-015-0187-3

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  • DOI: https://doi.org/10.1007/s40031-015-0187-3

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