FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES
In this paper the control of a binary distillation column is described. This con-trol is done with fuzzy logic, one with PI- like fuzzy controller and the other with modified PI fuzzy controller, using the minimal rules for fuzzy pro-cessing. This work is focused on model reduction of Wood and Berry...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2020-06-01
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| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | http://acs.pollub.pl/pdf/v16n2/6.pdf |
| _version_ | 1818995300059054080 |
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| author | Nasir ALAWAD Afaf ALSEADY |
| author_facet | Nasir ALAWAD Afaf ALSEADY |
| author_sort | Nasir ALAWAD |
| collection | DOAJ |
| description | In this paper the control of a binary distillation column is described. This con-trol is done with fuzzy logic, one with PI- like fuzzy controller and the other with modified PI fuzzy controller, using the minimal rules for fuzzy pro-cessing. This work is focused on model reduction of Wood and Berry binary distillation column to get the best performance. It is desired to minimize the rules in order to reduce the computation time to make a faster decision. Comparisons will be made between two versions of fuzzy controllers utilizing reduced rules to verify the outputs. The controlled variables are top composition with high concentration and bottom composition with low. To demonstrate the performance of the fuzzy PI control schemes, results are compared with a classical PI controller and optimal methods, like Differen-tial Evolution (DE), Invasive Weed Optimization (IWO). The proposed struc-ture is able to quickly track the parameter variation and perform better in load disturbances and also for set point changes. Then all the processes of the distillation column with itۥ s fuzzy controllers are simulated in MATLAB software as the results are shown. |
| first_indexed | 2024-12-20T21:11:39Z |
| format | Article |
| id | doaj.art-0d58744bcfa94c9cb00b6bcc07d67269 |
| institution | Directory Open Access Journal |
| issn | 1895-3735 2353-6977 |
| language | English |
| last_indexed | 2024-12-20T21:11:39Z |
| publishDate | 2020-06-01 |
| publisher | Polish Association for Knowledge Promotion |
| record_format | Article |
| series | Applied Computer Science |
| spelling | doaj.art-0d58744bcfa94c9cb00b6bcc07d672692022-12-21T19:26:30ZengPolish Association for Knowledge PromotionApplied Computer Science1895-37352353-69772020-06-01162809410.23743/acs-2020-14FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULESNasir ALAWAD0https://orcid.org/0000-0003-3059-4375Afaf ALSEADY1Al-Mustansiriyh University, Faculty of Engineering, Computer Department, Palestine Street, 14022, Baghdad, Iraq, nasir.awad@uomustansiriyah.edu.iqAl-Mustansiriyh University, Faculty of Engineering, Computer Department, Palestine Street, 14022, Baghdad, Iraq, afak.jebar@gmail.comIn this paper the control of a binary distillation column is described. This con-trol is done with fuzzy logic, one with PI- like fuzzy controller and the other with modified PI fuzzy controller, using the minimal rules for fuzzy pro-cessing. This work is focused on model reduction of Wood and Berry binary distillation column to get the best performance. It is desired to minimize the rules in order to reduce the computation time to make a faster decision. Comparisons will be made between two versions of fuzzy controllers utilizing reduced rules to verify the outputs. The controlled variables are top composition with high concentration and bottom composition with low. To demonstrate the performance of the fuzzy PI control schemes, results are compared with a classical PI controller and optimal methods, like Differen-tial Evolution (DE), Invasive Weed Optimization (IWO). The proposed struc-ture is able to quickly track the parameter variation and perform better in load disturbances and also for set point changes. Then all the processes of the distillation column with itۥ s fuzzy controllers are simulated in MATLAB software as the results are shown.http://acs.pollub.pl/pdf/v16n2/6.pdfdistillation columnmodel reductionpi controllerfuzzy inference systemmatlab tool |
| spellingShingle | Nasir ALAWAD Afaf ALSEADY FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES Applied Computer Science distillation column model reduction pi controller fuzzy inference system matlab tool |
| title | FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES |
| title_full | FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES |
| title_fullStr | FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES |
| title_full_unstemmed | FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES |
| title_short | FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES |
| title_sort | fuzzy controller of model reduction distillation column with minimal rules |
| topic | distillation column model reduction pi controller fuzzy inference system matlab tool |
| url | http://acs.pollub.pl/pdf/v16n2/6.pdf |
| work_keys_str_mv | AT nasiralawad fuzzycontrollerofmodelreductiondistillationcolumnwithminimalrules AT afafalseady fuzzycontrollerofmodelreductiondistillationcolumnwithminimalrules |