Mathematical modelling and controller design using electromagnetic techniques for sugar industry process
The design and tuning of controllers for the industrial process is an art, which plays a vital role in many of the process control industries. The industries such as sugar, chemical, paper and other process control-based industries hold the nature of non-linearity due to their uneven distribution of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2021-04-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/00051144.2019.1653667 |
| _version_ | 1819106867044941824 |
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| author | V.Saravanan R.Bharani Kumar |
| author_facet | V.Saravanan R.Bharani Kumar |
| author_sort | V.Saravanan |
| collection | DOAJ |
| description | The design and tuning of controllers for the industrial process is an art, which plays a vital role in many of the process control industries. The industries such as sugar, chemical, paper and other process control-based industries hold the nature of non-linearity due to their uneven distribution of load influence with disturbances. This paper highlights the study and investigation of different controlling parameters associated with the sugar industry which is located in the southern region of Tamil Nadu, India. After the analysis of various processes, the impact of controlling strategy needs to be implemented in an advanced way to minimize the resource utilization with high productivity. The behaviour of various process parameters, such as flow, temperature, level, pressure, is studied and one of these has been discussed in detail along with the controller design. The controller, such as proportional, integral, derivative, has been modified with advanced control phenomena and applied to process model with the presence of delay time provides the excellent tracking of operating point to bring the stability of a certain process in a tremendous manner. |
| first_indexed | 2024-12-22T02:44:57Z |
| format | Article |
| id | doaj.art-ddc241947def45648b9b5d5a684993f2 |
| institution | Directory Open Access Journal |
| issn | 0005-1144 1848-3380 |
| language | English |
| last_indexed | 2024-12-22T02:44:57Z |
| publishDate | 2021-04-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj.art-ddc241947def45648b9b5d5a684993f22022-12-21T18:41:33ZengTaylor & Francis GroupAutomatika0005-11441848-33802021-04-0162215516210.1080/00051144.2019.16536671653667Mathematical modelling and controller design using electromagnetic techniques for sugar industry processV.Saravanan0R.Bharani Kumar1Department of Electronics and Instrumentation Engineering, M.Kumarasamy College of EngineeringDepartment of Electrical and Electronics Engineering, Bannari Amman Institute of TechnologyThe design and tuning of controllers for the industrial process is an art, which plays a vital role in many of the process control industries. The industries such as sugar, chemical, paper and other process control-based industries hold the nature of non-linearity due to their uneven distribution of load influence with disturbances. This paper highlights the study and investigation of different controlling parameters associated with the sugar industry which is located in the southern region of Tamil Nadu, India. After the analysis of various processes, the impact of controlling strategy needs to be implemented in an advanced way to minimize the resource utilization with high productivity. The behaviour of various process parameters, such as flow, temperature, level, pressure, is studied and one of these has been discussed in detail along with the controller design. The controller, such as proportional, integral, derivative, has been modified with advanced control phenomena and applied to process model with the presence of delay time provides the excellent tracking of operating point to bring the stability of a certain process in a tremendous manner.http://dx.doi.org/10.1080/00051144.2019.1653667controllerlevelstabilitypidfuzzyprocess analysis |
| spellingShingle | V.Saravanan R.Bharani Kumar Mathematical modelling and controller design using electromagnetic techniques for sugar industry process Automatika controller level stability pid fuzzy process analysis |
| title | Mathematical modelling and controller design using electromagnetic techniques for sugar industry process |
| title_full | Mathematical modelling and controller design using electromagnetic techniques for sugar industry process |
| title_fullStr | Mathematical modelling and controller design using electromagnetic techniques for sugar industry process |
| title_full_unstemmed | Mathematical modelling and controller design using electromagnetic techniques for sugar industry process |
| title_short | Mathematical modelling and controller design using electromagnetic techniques for sugar industry process |
| title_sort | mathematical modelling and controller design using electromagnetic techniques for sugar industry process |
| topic | controller level stability pid fuzzy process analysis |
| url | http://dx.doi.org/10.1080/00051144.2019.1653667 |
| work_keys_str_mv | AT vsaravanan mathematicalmodellingandcontrollerdesignusingelectromagnetictechniquesforsugarindustryprocess AT rbharanikumar mathematicalmodellingandcontrollerdesignusingelectromagnetictechniquesforsugarindustryprocess |