Design of estimator for level monitoring using data driven model

Vighnesh Shenoy; K. V. Santhosh

doi:10.1109/ICCAKM50778.2021.9357704

Design of estimator for level monitoring using data driven model

Vighnesh Shenoy
, K. V. Santhosh^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

A state observer estimates the state variables depending on the measurements of the output over a period for an observable system. Luenberger observers can be used when the sensor produces minimal noise. Whereas, for stochastic systems having measurement and process noise Kalman filters are more suitable. This paper reports a state observer model for a liquid level monitoring system using both Luenberger and Kalman methods. A CFD simulation is carried out to investigate the laminar type of water flow through an orifice meter with a definite pipe diameter, which aids in the calculation of pressure difference resulting in liquid level estimation.

Original language	English
Title of host publication	Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	81-86
Number of pages	6
ISBN (Electronic)	9781728194912
DOIs	https://doi.org/10.1109/ICCAKM50778.2021.9357704
Publication status	Published - 19-01-2021
Event	2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021 - Dubai, United Arab Emirates Duration: 19-01-2021 → 21-01-2021

Publication series

Name	Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021

Conference

Conference	2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021
Country/Territory	United Arab Emirates
City	Dubai
Period	19-01-21 → 21-01-21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Control and Optimization

Access to Document

10.1109/ICCAKM50778.2021.9357704

Cite this

Shenoy, V., & Santhosh, K. V. (2021). Design of estimator for level monitoring using data driven model. In Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021 (pp. 81-86). Article 9357704 (Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAKM50778.2021.9357704

Shenoy, Vighnesh ; Santhosh, K. V. / Design of estimator for level monitoring using data driven model. Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 81-86 (Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021).

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title = "Design of estimator for level monitoring using data driven model",

abstract = "A state observer estimates the state variables depending on the measurements of the output over a period for an observable system. Luenberger observers can be used when the sensor produces minimal noise. Whereas, for stochastic systems having measurement and process noise Kalman filters are more suitable. This paper reports a state observer model for a liquid level monitoring system using both Luenberger and Kalman methods. A CFD simulation is carried out to investigate the laminar type of water flow through an orifice meter with a definite pipe diameter, which aids in the calculation of pressure difference resulting in liquid level estimation.",

author = "Vighnesh Shenoy and Santhosh, \{K. V.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021 ; Conference date: 19-01-2021 Through 21-01-2021",

year = "2021",

month = jan,

day = "19",

doi = "10.1109/ICCAKM50778.2021.9357704",

language = "English",

series = "Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021",

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address = "United States",

}

Shenoy, V & Santhosh, KV 2021, Design of estimator for level monitoring using data driven model. in Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021., 9357704, Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021, Institute of Electrical and Electronics Engineers Inc., pp. 81-86, 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021, Dubai, United Arab Emirates, 19-01-21. https://doi.org/10.1109/ICCAKM50778.2021.9357704

Design of estimator for level monitoring using data driven model. / Shenoy, Vighnesh; Santhosh, K. V.
Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 81-86 9357704 (Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Design of estimator for level monitoring using data driven model

AU - Shenoy, Vighnesh

AU - Santhosh, K. V.

PY - 2021/1/19

Y1 - 2021/1/19

N2 - A state observer estimates the state variables depending on the measurements of the output over a period for an observable system. Luenberger observers can be used when the sensor produces minimal noise. Whereas, for stochastic systems having measurement and process noise Kalman filters are more suitable. This paper reports a state observer model for a liquid level monitoring system using both Luenberger and Kalman methods. A CFD simulation is carried out to investigate the laminar type of water flow through an orifice meter with a definite pipe diameter, which aids in the calculation of pressure difference resulting in liquid level estimation.

AB - A state observer estimates the state variables depending on the measurements of the output over a period for an observable system. Luenberger observers can be used when the sensor produces minimal noise. Whereas, for stochastic systems having measurement and process noise Kalman filters are more suitable. This paper reports a state observer model for a liquid level monitoring system using both Luenberger and Kalman methods. A CFD simulation is carried out to investigate the laminar type of water flow through an orifice meter with a definite pipe diameter, which aids in the calculation of pressure difference resulting in liquid level estimation.

UR - https://www.scopus.com/pages/publications/85102437418

UR - https://www.scopus.com/pages/publications/85102437418#tab=citedBy

U2 - 10.1109/ICCAKM50778.2021.9357704

DO - 10.1109/ICCAKM50778.2021.9357704

M3 - Conference contribution

AN - SCOPUS:85102437418

T3 - Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021

SP - 81

EP - 86

BT - Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021

Y2 - 19 January 2021 through 21 January 2021

ER -

Shenoy V, Santhosh KV. Design of estimator for level monitoring using data driven model. In Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 81-86. 9357704. (Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021). doi: 10.1109/ICCAKM50778.2021.9357704

Design of estimator for level monitoring using data driven model

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UN SDGs

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