The fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process
This paper deals with the design of a new algorithm of PID control based on fractional calculus (FC) in production of technical gases, i.e. in a cryogenic air separation process. Production of low pressure liquid air was first introduced by P. L. Kapica and involved expansion in a gas turbi...
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| Format: | Article |
| Language: | English |
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Association of Chemical Engineers of Serbia
2014-01-01
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| Series: | Hemijska Industrija |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0367-598X/2014/0367-598X1300078B.pdf |
| _version_ | 1829105250131247104 |
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| author | Bučanović Ljubiša J. Lazarević Mihailo P. Batalov Srećko N. |
| author_facet | Bučanović Ljubiša J. Lazarević Mihailo P. Batalov Srećko N. |
| author_sort | Bučanović Ljubiša J. |
| collection | DOAJ |
| description | This paper deals with the design of a new algorithm of PID control based on
fractional calculus (FC) in production of technical gases, i.e. in a
cryogenic air separation process. Production of low pressure liquid air was
first introduced by P. L. Kapica and involved expansion in a gas turbine.
For application in the synthesis of the control law, for the input
temperature and flow of air to the expansion turbine, it is necessary to
determine the appropriate differential equations of the cryogenic process of
mixing of two gaseous airflows at different temperatures before entrance to
the expansion turbine. Thereafter, the model is linearized and decoupled and
consequently classical PID and fractional order controllers are taken to
assess the quality of the proposed technique. A set of optimal parameters of
these controllers are achieved through the genetic algorithm optimization
procedure by minimizing a cost function. Our design method focuses on
minimizing performance criterion which involves IAE, overshoot, as well as
settling time. A time-domain simulation was used to identify the performance
of controller with respect to a traditional optimized PID controller.
[Projekat Ministarstva nauke Republike Srbije, br. 35006] |
| first_indexed | 2024-12-12T06:03:19Z |
| format | Article |
| id | doaj.art-8b8b88afadd64535888ddc3ceb7bed37 |
| institution | Directory Open Access Journal |
| issn | 0367-598X 2217-7426 |
| language | English |
| last_indexed | 2024-12-12T06:03:19Z |
| publishDate | 2014-01-01 |
| publisher | Association of Chemical Engineers of Serbia |
| record_format | Article |
| series | Hemijska Industrija |
| spelling | doaj.art-8b8b88afadd64535888ddc3ceb7bed372022-12-22T00:35:21ZengAssociation of Chemical Engineers of SerbiaHemijska Industrija0367-598X2217-74262014-01-0168551952810.2298/HEMIND130717078B0367-598X1300078BThe fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation processBučanović Ljubiša J.0Lazarević Mihailo P.1Batalov Srećko N.2Department of production of technical gases, Messer Tehnogas, BorFaculty of Mechanical Engineering, BelgradeFaculty of Mechanical Engineering, BelgradeThis paper deals with the design of a new algorithm of PID control based on fractional calculus (FC) in production of technical gases, i.e. in a cryogenic air separation process. Production of low pressure liquid air was first introduced by P. L. Kapica and involved expansion in a gas turbine. For application in the synthesis of the control law, for the input temperature and flow of air to the expansion turbine, it is necessary to determine the appropriate differential equations of the cryogenic process of mixing of two gaseous airflows at different temperatures before entrance to the expansion turbine. Thereafter, the model is linearized and decoupled and consequently classical PID and fractional order controllers are taken to assess the quality of the proposed technique. A set of optimal parameters of these controllers are achieved through the genetic algorithm optimization procedure by minimizing a cost function. Our design method focuses on minimizing performance criterion which involves IAE, overshoot, as well as settling time. A time-domain simulation was used to identify the performance of controller with respect to a traditional optimized PID controller. [Projekat Ministarstva nauke Republike Srbije, br. 35006]http://www.doiserbia.nb.rs/img/doi/0367-598X/2014/0367-598X1300078B.pdftechnical gasescryogenic liquidfractional PID controlFOPID optimal tuninggenetic algorithms |
| spellingShingle | Bučanović Ljubiša J. Lazarević Mihailo P. Batalov Srećko N. The fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process Hemijska Industrija technical gases cryogenic liquid fractional PID control FOPID optimal tuning genetic algorithms |
| title | The fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process |
| title_full | The fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process |
| title_fullStr | The fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process |
| title_full_unstemmed | The fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process |
| title_short | The fractional PID controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process |
| title_sort | fractional pid controllers tuned by genetic algorithms for expansion turbine in the cryogenic air separation process |
| topic | technical gases cryogenic liquid fractional PID control FOPID optimal tuning genetic algorithms |
| url | http://www.doiserbia.nb.rs/img/doi/0367-598X/2014/0367-598X1300078B.pdf |
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