An adaptive calibration circuit for level measurement using optimized ANN

K. V. Santhosh, B. K. Roy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Design of an intelligent level measurement technique by Capacitance Level Sensor (CLS) using an Optimized Artificial Neural Network (OANN) is discussed in this paper. The objectives of the present work are (i) to extend the linearity range of measurement to 100% of the full scale, (ii) to make the measurement technique adaptive of variation in permittivity of liquid, liquid temperature, and to achieve objectives (i) and (ii) using an optimized neural network. An optimized ANN is considered by comparing various algorithms, transfer functions of neuron, and number of hidden layers based on minimum mean square error (MSE). The output of CLS is capacitance. A data conversion unit is used to convert it to voltage. A suitable optimized ANN is added, in place of conventional calibration circuit, in cascade to data conversion unit. The proposed technique provides linear relationship of the overall system over the full input range and makes it adaptive of variation in liquid permittivity and/or temperature. When an unknown level is tested with an arbitrary liquid permittivity, and temperature, the proposed technique has measured the level correctly. Results show that the proposed scheme has fulfilled the objectives.

Original languageEnglish
Title of host publicationInternational Conference on Communication and Electronics System Design
Volume8760
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational Conference on Communication and Electronics System Design, ICCESD 2013 - Jaipur, India
Duration: 28-01-201330-01-2013

Conference

ConferenceInternational Conference on Communication and Electronics System Design, ICCESD 2013
CountryIndia
CityJaipur
Period28-01-1330-01-13

Fingerprint

Level measurement
Permittivity
Calibration
Capacitance
Liquid
Networks (circuits)
Measurement Techniques
Liquids
capacitance
permittivity
liquids
Neural networks
Sensor
Unit
Minimum Mean Square Error
Sensors
Linearity
Mean square error
Range of data
Transfer Function

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Santhosh, K. V., & Roy, B. K. (2013). An adaptive calibration circuit for level measurement using optimized ANN. In International Conference on Communication and Electronics System Design (Vol. 8760). [87600P] https://doi.org/10.1117/12.2010412
Santhosh, K. V. ; Roy, B. K. / An adaptive calibration circuit for level measurement using optimized ANN. International Conference on Communication and Electronics System Design. Vol. 8760 2013.
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Santhosh, KV & Roy, BK 2013, An adaptive calibration circuit for level measurement using optimized ANN. in International Conference on Communication and Electronics System Design. vol. 8760, 87600P, International Conference on Communication and Electronics System Design, ICCESD 2013, Jaipur, India, 28-01-13. https://doi.org/10.1117/12.2010412

An adaptive calibration circuit for level measurement using optimized ANN. / Santhosh, K. V.; Roy, B. K.

International Conference on Communication and Electronics System Design. Vol. 8760 2013. 87600P.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Santhosh KV, Roy BK. An adaptive calibration circuit for level measurement using optimized ANN. In International Conference on Communication and Electronics System Design. Vol. 8760. 2013. 87600P https://doi.org/10.1117/12.2010412