An explorative study of search algorithms applied to the gain scheduling in PID controllers
The efficiency of a proportional-integral-derivative (PID) controller depends directly on the values of the gains Kp, Ki, and Kd. In this context, changes in the process dynamics imply degradation in the performance of the closed-loop control system. Several artificial intelligence techniques are us...
| Main Authors: | , |
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| Format: | ARTÍCULO DE CONFERENCIA |
| Language: | es_ES |
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IEEE
2024
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| Online Access: | http://dspace.ucuenca.edu.ec/handle/123456789/44122 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177462775&doi=10.1109%2fCoDIT58514.2023.10284176&partnerID=40&md5=246d841c6867af8b8a4592dde67a1385 |
| _version_ | 1793400621417627648 |
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| author | Minchala Avila, Luis Ismael Criollo Gordillo, Michael Alexander |
| author_facet | Minchala Avila, Luis Ismael Criollo Gordillo, Michael Alexander |
| author_sort | Minchala Avila, Luis Ismael |
| collection | DSpace |
| description | The efficiency of a proportional-integral-derivative (PID) controller depends directly on the values of the gains Kp, Ki, and Kd. In this context, changes in the process dynamics imply degradation in the performance of the closed-loop control system. Several artificial intelligence techniques are used to
adjust the PID parameters to improve the control system’s performance. However, there is little exploratory evidence about how primitive techniques with low computational costs can contribute to solve this gain calculation task. This paper explores and compares three algorithms applied to the real-time gain calculation of PID controllers: fuzzy logic (FGS-PID), simulated annealing (SA-PID), and the A⋆search method (A⋆PID). The validation of the operation of these schemes is carried out through simulations as well as by applying these controllers to a two-tank liquid-level control system. Experimental results
show the algorithms’ effectiveness to improve the control system’s global performance and to add passive fault-tolerance capabilities. |
| format | ARTÍCULO DE CONFERENCIA |
| id | oai:dspace.ucuenca.edu.ec:123456789-44122 |
| institution | Universidad de Cuenca |
| language | es_ES |
| publishDate | 2024 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oai:dspace.ucuenca.edu.ec:123456789-441222024-03-06T17:46:58Z An explorative study of search algorithms applied to the gain scheduling in PID controllers Minchala Avila, Luis Ismael Criollo Gordillo, Michael Alexander Control system Artificial intelligence The efficiency of a proportional-integral-derivative (PID) controller depends directly on the values of the gains Kp, Ki, and Kd. In this context, changes in the process dynamics imply degradation in the performance of the closed-loop control system. Several artificial intelligence techniques are used to adjust the PID parameters to improve the control system’s performance. However, there is little exploratory evidence about how primitive techniques with low computational costs can contribute to solve this gain calculation task. This paper explores and compares three algorithms applied to the real-time gain calculation of PID controllers: fuzzy logic (FGS-PID), simulated annealing (SA-PID), and the A⋆search method (A⋆PID). The validation of the operation of these schemes is carried out through simulations as well as by applying these controllers to a two-tank liquid-level control system. Experimental results show the algorithms’ effectiveness to improve the control system’s global performance and to add passive fault-tolerance capabilities. Roma 2024-03-06T17:46:54Z 2024-03-06T17:46:54Z 2023 ARTÍCULO DE CONFERENCIA 979-8-3503-1140-2 2576-3555 http://dspace.ucuenca.edu.ec/handle/123456789/44122 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177462775&doi=10.1109%2fCoDIT58514.2023.10284176&partnerID=40&md5=246d841c6867af8b8a4592dde67a1385 10.1109/CoDIT58514.2023.10284176 es_ES application/pdf IEEE 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT |
| spellingShingle | Control system Artificial intelligence Minchala Avila, Luis Ismael Criollo Gordillo, Michael Alexander An explorative study of search algorithms applied to the gain scheduling in PID controllers |
| title | An explorative study of search algorithms applied to the gain scheduling in PID controllers |
| title_full | An explorative study of search algorithms applied to the gain scheduling in PID controllers |
| title_fullStr | An explorative study of search algorithms applied to the gain scheduling in PID controllers |
| title_full_unstemmed | An explorative study of search algorithms applied to the gain scheduling in PID controllers |
| title_short | An explorative study of search algorithms applied to the gain scheduling in PID controllers |
| title_sort | explorative study of search algorithms applied to the gain scheduling in pid controllers |
| topic | Control system Artificial intelligence |
| url | http://dspace.ucuenca.edu.ec/handle/123456789/44122 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177462775&doi=10.1109%2fCoDIT58514.2023.10284176&partnerID=40&md5=246d841c6867af8b8a4592dde67a1385 |
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