On-line method for optimal tuning of PID controllers using standard OPC interface

Método on-line para sintonización óptima de controladores PID utilizando interface estándar OPC

dc.creatorRiano , Cristhian
dc.creatorDíaz-Rodríguez, Jorge Luis
dc.creatorMejía Bugallo, Diego Armando
dc.date2023-04-11T15:55:00Z
dc.date2023-04-11T15:55:00Z
dc.date2022
dc.date.accessioned2023-10-03T19:04:21Z
dc.date.available2023-10-03T19:04:21Z
dc.identifierC. Riaño Jaimes, J. Diaz Rodríguez & D. Mejía Bugallo, “On-line method for optimal tuning of PID controllers using standard OPC interface”, INGECUC, vol. 18, no. 2, pp. 13–26. DOI: http://doi.org/10.17981/ingecuc.18.2.2022.02
dc.identifier2382-4700
dc.identifierhttps://hdl.handle.net/11323/9981
dc.identifier10.17981/ingecuc.18.2.2022.02
dc.identifier0122-6517
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9167395
dc.descriptionIntroducción— El controlado PID es el algoritmo matemático mayormente utilizado como estrategia de control regulatorio en entornos industriales. Las aplicaciones son variadas; sin embargo, su respuesta depende del cálculo adecuado de sus tres parámetros: el proporcional, el derivativo y el integral. La sintonización analítica y algunos métodos experimentales resuelven el problema, pero ahora, dentro del contexto digital y de integración de procesos se habilitan nuevas posibilidades de sintonización. Objetivo— Obtener de manera automática y remota los parámetros óptimos del controlador PID aprovechando una conexión online vía el protocolo de comunicación OPC para analizar la respuesta transitoria del sistema. Metodología— El estudio se realiza en tres grandes fases, se inicia con un proceso térmico PD3 SMAR con conexión vía OPC, en esta fase se construye analíticamente el modelo matemático del proceso basado en leyes fundamentales. En la segunda fase utilizando un método analítico de sintonización se crea la arquitectura de control PID sobre la cual se realiza la experimentación online. En la tercera fase se implementan los algoritmos genéticos para sintonización automática, extrayendo medidas de rendimiento del controlador PID a través de la respuesta transitario del proceso y se determinar de manera óptima los valores para los parámetros proporcional, derivativo e integral. Resultados— El método de sintonización automática fue probado con dos procesos industriales correctamente instrumentados y se puedo observar el potencial de aplicación por su buen resultado además de que no se requiere de conocimientos matemáticos específicos en comparación con métodos convencionales de sintonización. Conclusiones— El método de sintonización automática consigue ser empleado de forma remota para calcular los parámetros óptimos de un controlador PID. Los parámetros son calculados a partir de la respuesta transitoria y de la definición de unos criterios de diseño adaptables a cualquier necesidad de control, de respuesta y de proceso.
dc.descriptionIntroduction— The controlled PID is the most widely used mathematical algorithm as a regulatory control strategy in industrial environments. The applications are varied; however, its answer depends on the proper calculation of its three parameters: the proportional, the derivative, and the integral. Analytical tuning and experimental methods solve the problem, but new tuning possibilities are now enabled within the digital and process integration context. Objective— Automatically and remotely obtain the optimal parameters of the PID controller, taking advantage of an online connection via the OPC communication protocol to analyze the transient response of the system. Methodology— The study is carried out in three main phases; it begins with a PD3 SMAR thermal process with connection via OPC; in this phase, the mathematical model of the process is built analytically based on fundamental laws. In the second phase, using an analytical tuning method, the PID control architecture is created on which the online experimentation is carried out. In the third phase, the genetic algorithms for automatic tuning are implemented, extracting performance measures from the PID controller through the transient response of the process and optimally determining the values for the proportional, derivative, and integral parameters. Results— The automatic tuning method was tested with two properly instrumented industrial processes. The potential for application can be seen due to its good result and because it does not require specific mathematical knowledge compared to conventional tuning methods. Conclusions— The automatic tuning method can be used remotely to calculate the optimal parameters of a PID controller. The parameters are calculated from the transient response and the definition of design criteria adaptable to any need for control, response, and process.
dc.format14 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
dc.publisherColombia
dc.relationINGE CUC
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dc.rightsDerechos de autor 2022 INGE CUC
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourcehttps://revistascientificas.cuc.edu.co/ingecuc/article/view/4152
dc.subjectAlgoritmos genéticos
dc.subjectSintonización automática
dc.subjectOptimización
dc.subjectControlador PID
dc.subjectGenetic algorithms
dc.subjectAutomatic tuning
dc.subjectOptimization
dc.subjectPID controller
dc.titleOn-line method for optimal tuning of PID controllers using standard OPC interface
dc.titleMétodo on-line para sintonización óptima de controladores PID utilizando interface estándar OPC
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typehttp://purl.org/coar/resource_type/c_2df8fbb1
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/coar/version/c_970fb48d4fbd8a85


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