PID controller tuning using bacterial Quorum Sensing (QS)

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dc.creatorMartínez Sarmiento, Fredy Hernán
dc.creatorAcero Soto, Diego Mauricio
dc.date2020-04-01
dc.date.accessioned2024-08-22T00:08:32Z
dc.date.available2024-08-22T00:08:32Z
dc.descriptionObjective: PID controllers are widely used to operate AC motors due to their simplicity and easy implementation. However, adjusting its parameters in search of an optimal scheme can be complex because it requires manual tuning by trial and error. This research aims to implement an optimized tuning scheme through a search based on the idealized behavior of a community of bacteria and its Quorum Sensing (QS). Methodology: A closed-loop system model with PID control considering disturbances is proposed in order to tune a disturbance-resistant controller. The response of the model is calculated using a search that mimics a simplified model of bacterial behavior. The scheme uses ITSE (Integral Time Squared Error) as the performance index. Results: The tuning resulting from the proposed scheme was evaluated by simulation and compared with tunings of the same model made by Root Locus and Genetic Algorithms (GA). The results showed a satisfactory response according the design criteria. Conclusions: Nowadays, PID controllers are still basic industrial control tools, particularly important in motor operation. The performance of these controls depends fundamentally on the design of their gain. In the case of complex plants, additional tools are required to facilitate PID tuning. We propose an intelligent and bio-inspired tuning scheme that demonstrates high performance in laboratory tests. Financing: University Francisco José de Caldas through the project 1-72-578-18.en-US
dc.descriptionObjetivo: Los controladores PID son ampliamente utilizados para operar motores AC debido a su simplicidad y fácil implementación. Sin embargo, la sintonización de sus parámetros en busca de un esquema óptimo puede ser compleja debido a que requiere sintonización manual mediante prueba y error. El objetivo de esta investigación es implementar un esquema de ajuste optimizado mediante una búsqueda basada en el comportamiento idealizado de una comunidad de bacterias y su detección de quórum (Quorum Sensing, QS). Metodología: Se plantea el modelo del sistema en lazo cerrado con control PID considerando las perturbaciones con el objetivo de sintonizar un controlador resistente a ellas. La respuesta del modelo se calcula mediante una búsqueda que imita un modelo simplificado de comportamiento bacterial. El esquema utiliza el ITSE (Integral Time Squared Error) como indice de desempeño. Resultados: La sintonización mediante el esquema propuesto fue evaluada mediante simulación y comparada con sintonizaciones del mismo modelo realizadas mediante Root Locus y Algoritmos Genéticos (GA). Los resultados mostraron una respuesta satisfactoria frente a los criterios de diseño. Conclusiones: Los controladores PID siguen siendo hoy en día herramientas básicas de control industrial, particularmente importantes en el manejo de motores. El desempeño de estos controles depende fundamentalmente del diseño de su ganancia. En el caso de plantas complejas se requiere de herramientas adicionales que faciliten la sintonización del PID. Nosotros proponemos un esquema de sintonización inteligente y bio-inspirado que demuestra un alto desempeño en pruebas de laboratorio. Financiamiento: Universidad Distrital Francisco José de Caldas a través del proyecto 1-72-578-18.es-ES
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dc.identifierhttps://revistas.udistrital.edu.co/index.php/Tecnura/article/view/16530
dc.identifier.urihttps://ciencianacional.co/handle/123456789/202302
dc.journalTecnura
dc.languageeng
dc.languagespa
dc.publisherUniversidad Distrital Francisco José de Caldas. Colombiaes-ES
dc.relationhttps://revistas.udistrital.edu.co/index.php/Tecnura/article/view/16530/15810
dc.relationhttps://revistas.udistrital.edu.co/index.php/Tecnura/article/view/16530/16159
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dc.relation.institutionUniversidad Distrital Francisco José de Caldas
dc.rightsDerechos de autor 2020 Tecnuraes-ES
dc.sourceTecnura; Vol. 24 No. 64 (2020): April - June; 13 - 22en-US
dc.sourceTecnura; Vol. 24 Núm. 64 (2020): Abril - Junio; 13 - 22es-ES
dc.source2248-7638
dc.source0123-921X
dc.subjectbio-inspired, closed loop, control, PID, Quorum Sensing, tuningen-US
dc.subjectbio-inspirado, control, lazo cerrado, PID, Quorum Sensing, sintonización.es-ES
dc.titlePID controller tuning using bacterial Quorum Sensing (QS)en-US
dc.titleSintonización de controlador PID utilizando Quorum Sensing (QS) bacteriales-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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vol. 24 núm. 64 (2020): abril - junio