Modelling of Level Process

Industries such as, textile, food processing, chemical and water treatment plants are part of our global development. The efficiency of processes used by them is always a matter of great importance. Efficiency can be greatly improved by obtaining an exact model of the process. This paper studies the...

Full description

Saved in:
Bibliographic Details
Published in:International journal of innovative technology and exploring engineering 2019-09, Vol.8 (11), p.1155-1161
Main Authors: Thomas, Rhea Mariah, M, Manimozhi, A, Chitra, Vanishree, J, Sultana W, Razia
Format: Article
Language:English
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 1161
container_issue 11
container_start_page 1155
container_title International journal of innovative technology and exploring engineering
container_volume 8
creator Thomas, Rhea Mariah
M, Manimozhi
A, Chitra
Vanishree, J
Sultana W, Razia
description Industries such as, textile, food processing, chemical and water treatment plants are part of our global development. The efficiency of processes used by them is always a matter of great importance. Efficiency can be greatly improved by obtaining an exact model of the process. This paper studies the two main classifications of model development – First-Principles Model and Empirical Model. First-Principles Model can be obtained with an understanding of the basic physics of the system. On the other hand, Empirical Models require only the input-output data and can thus factor in process non-linearity, disturbances and unexpected errors.This paper utilizes the System Identification Toolbox in MATLAB for empirical model development. Models are developed for a single tank system, a classic SISO problem and for the two interacting tank system. Both systems are studied with respect to three operating points, each from a local linear region. The obtained models are validated with the real-time setup. They are satisfactory in their closeness to the real time process and hence deemed fit for use in control algorithms and other process manipulations.
doi_str_mv 10.35940/ijitee.J9078.0981119
format article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_35940_ijitee_J9078_0981119</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_35940_ijitee_J9078_0981119</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1639-551c34bad3f0568f258a88bb35797361424f16055c525efc7d0f739d2b07829e3</originalsourceid><addsrcrecordid>eNpNz81KxDAUBeAgCg7jvIAg9AVa783Nzc9SBn-pzCx0Hdo0kQ7VSiKCb6_MzMLVOavD-YS4QmiInYLrcTd-xdg8OTC2AWcR0Z2IhZTG1gSGT__1c7EqZQcASAqtdgtx-TwPcZrGj7dqTlUbv-NUbfMcYikX4ix1U4mrYy7F693ty_qhbjf3j-ubtg6oydXMGEj13UAJWNsk2XbW9j2xcYY0KqkSamAOLDmmYAZIhtwg-7_D0kVaCj7shjyXkmPyn3l87_KPR_B7oz8Y_d7oj0b6BYOuQ9s</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Modelling of Level Process</title><source>ROAD: Directory of Open Access Scholarly Resources</source><creator>Thomas, Rhea Mariah ; M, Manimozhi ; A, Chitra ; Vanishree, J ; Sultana W, Razia</creator><creatorcontrib>Thomas, Rhea Mariah ; M, Manimozhi ; A, Chitra ; Vanishree, J ; Sultana W, Razia ; School of Electrical Engineering, VIT, Vellore, Tamil Nadu, India</creatorcontrib><description>Industries such as, textile, food processing, chemical and water treatment plants are part of our global development. The efficiency of processes used by them is always a matter of great importance. Efficiency can be greatly improved by obtaining an exact model of the process. This paper studies the two main classifications of model development – First-Principles Model and Empirical Model. First-Principles Model can be obtained with an understanding of the basic physics of the system. On the other hand, Empirical Models require only the input-output data and can thus factor in process non-linearity, disturbances and unexpected errors.This paper utilizes the System Identification Toolbox in MATLAB for empirical model development. Models are developed for a single tank system, a classic SISO problem and for the two interacting tank system. Both systems are studied with respect to three operating points, each from a local linear region. The obtained models are validated with the real-time setup. They are satisfactory in their closeness to the real time process and hence deemed fit for use in control algorithms and other process manipulations.</description><identifier>ISSN: 2278-3075</identifier><identifier>EISSN: 2278-3075</identifier><identifier>DOI: 10.35940/ijitee.J9078.0981119</identifier><language>eng</language><ispartof>International journal of innovative technology and exploring engineering, 2019-09, Vol.8 (11), p.1155-1161</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Thomas, Rhea Mariah</creatorcontrib><creatorcontrib>M, Manimozhi</creatorcontrib><creatorcontrib>A, Chitra</creatorcontrib><creatorcontrib>Vanishree, J</creatorcontrib><creatorcontrib>Sultana W, Razia</creatorcontrib><creatorcontrib>School of Electrical Engineering, VIT, Vellore, Tamil Nadu, India</creatorcontrib><title>Modelling of Level Process</title><title>International journal of innovative technology and exploring engineering</title><description>Industries such as, textile, food processing, chemical and water treatment plants are part of our global development. The efficiency of processes used by them is always a matter of great importance. Efficiency can be greatly improved by obtaining an exact model of the process. This paper studies the two main classifications of model development – First-Principles Model and Empirical Model. First-Principles Model can be obtained with an understanding of the basic physics of the system. On the other hand, Empirical Models require only the input-output data and can thus factor in process non-linearity, disturbances and unexpected errors.This paper utilizes the System Identification Toolbox in MATLAB for empirical model development. Models are developed for a single tank system, a classic SISO problem and for the two interacting tank system. Both systems are studied with respect to three operating points, each from a local linear region. The obtained models are validated with the real-time setup. They are satisfactory in their closeness to the real time process and hence deemed fit for use in control algorithms and other process manipulations.</description><issn>2278-3075</issn><issn>2278-3075</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpNz81KxDAUBeAgCg7jvIAg9AVa783Nzc9SBn-pzCx0Hdo0kQ7VSiKCb6_MzMLVOavD-YS4QmiInYLrcTd-xdg8OTC2AWcR0Z2IhZTG1gSGT__1c7EqZQcASAqtdgtx-TwPcZrGj7dqTlUbv-NUbfMcYikX4ix1U4mrYy7F693ty_qhbjf3j-ubtg6oydXMGEj13UAJWNsk2XbW9j2xcYY0KqkSamAOLDmmYAZIhtwg-7_D0kVaCj7shjyXkmPyn3l87_KPR_B7oz8Y_d7oj0b6BYOuQ9s</recordid><startdate>20190930</startdate><enddate>20190930</enddate><creator>Thomas, Rhea Mariah</creator><creator>M, Manimozhi</creator><creator>A, Chitra</creator><creator>Vanishree, J</creator><creator>Sultana W, Razia</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20190930</creationdate><title>Modelling of Level Process</title><author>Thomas, Rhea Mariah ; M, Manimozhi ; A, Chitra ; Vanishree, J ; Sultana W, Razia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1639-551c34bad3f0568f258a88bb35797361424f16055c525efc7d0f739d2b07829e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Thomas, Rhea Mariah</creatorcontrib><creatorcontrib>M, Manimozhi</creatorcontrib><creatorcontrib>A, Chitra</creatorcontrib><creatorcontrib>Vanishree, J</creatorcontrib><creatorcontrib>Sultana W, Razia</creatorcontrib><creatorcontrib>School of Electrical Engineering, VIT, Vellore, Tamil Nadu, India</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of innovative technology and exploring engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thomas, Rhea Mariah</au><au>M, Manimozhi</au><au>A, Chitra</au><au>Vanishree, J</au><au>Sultana W, Razia</au><aucorp>School of Electrical Engineering, VIT, Vellore, Tamil Nadu, India</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling of Level Process</atitle><jtitle>International journal of innovative technology and exploring engineering</jtitle><date>2019-09-30</date><risdate>2019</risdate><volume>8</volume><issue>11</issue><spage>1155</spage><epage>1161</epage><pages>1155-1161</pages><issn>2278-3075</issn><eissn>2278-3075</eissn><abstract>Industries such as, textile, food processing, chemical and water treatment plants are part of our global development. The efficiency of processes used by them is always a matter of great importance. Efficiency can be greatly improved by obtaining an exact model of the process. This paper studies the two main classifications of model development – First-Principles Model and Empirical Model. First-Principles Model can be obtained with an understanding of the basic physics of the system. On the other hand, Empirical Models require only the input-output data and can thus factor in process non-linearity, disturbances and unexpected errors.This paper utilizes the System Identification Toolbox in MATLAB for empirical model development. Models are developed for a single tank system, a classic SISO problem and for the two interacting tank system. Both systems are studied with respect to three operating points, each from a local linear region. The obtained models are validated with the real-time setup. They are satisfactory in their closeness to the real time process and hence deemed fit for use in control algorithms and other process manipulations.</abstract><doi>10.35940/ijitee.J9078.0981119</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2278-3075
ispartof International journal of innovative technology and exploring engineering, 2019-09, Vol.8 (11), p.1155-1161
issn 2278-3075
2278-3075
language eng
recordid cdi_crossref_primary_10_35940_ijitee_J9078_0981119
source ROAD: Directory of Open Access Scholarly Resources
title Modelling of Level Process
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T18%3A00%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modelling%20of%20Level%20Process&rft.jtitle=International%20journal%20of%20innovative%20technology%20and%20exploring%20engineering&rft.au=Thomas,%20Rhea%20Mariah&rft.aucorp=School%20of%20Electrical%20Engineering,%20VIT,%20Vellore,%20Tamil%20Nadu,%20India&rft.date=2019-09-30&rft.volume=8&rft.issue=11&rft.spage=1155&rft.epage=1161&rft.pages=1155-1161&rft.issn=2278-3075&rft.eissn=2278-3075&rft_id=info:doi/10.35940/ijitee.J9078.0981119&rft_dat=%3Ccrossref%3E10_35940_ijitee_J9078_0981119%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1639-551c34bad3f0568f258a88bb35797361424f16055c525efc7d0f739d2b07829e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true