DOI:
https://doi.org/10.14483/23448393.22002Published:
2025-08-01Issue:
Vol. 30 No. 2 (2025): May-AugustSection:
Electrical, Electronic and Telecommunications EngineeringImplementation of a Generalized Predictive Controller with Fuzzy Suppression and Weighting Parameters for a Level Plant with Interconnected Concentric Tanks
Implementación de un controlador predictivo generalizado con parámetros difusos de supresión y ponderación para una planta de nivel con tanques concéntricos interconectados
Keywords:
Weighting factors, Fuzzy logic, Generalized predictive control (en).Keywords:
ponderación , control predictivo generalizado, lógica difusa (es).Downloads
Abstract (en)
Context: This paper employs fuzzy logic in the unconventional adjustment of suppression and weighting factors within a generalized predictive controller (GPC).
Method: The control strategy is applied to a level plant featuring interconnected concentric tanks. For the tuning process, a fuzzy proportional-integral-derivative PID controller is compared against the proposed GPC equipped with fuzzy suppression and weighting parameters. Evaluation metrics related with response time and integration criteria are employed in this comparison
Results: The results demonstrate the superiority of the GPC combined with fuzzy logic over the fuzzy PID controller. Dynamic weighting factors contribute to enhanced control performance, as evidenced by the evaluation metrics.
Conclusions: The proposed approach proved to be effective in improving control performance in the tested system. This approach offers a promising alternative to traditional methods, especially in systems where dynamic adjustments are beneficial.
Abstract (es)
Contexto: Este documento emplea lógica difusa en el ajuste no convencional de factores de supresión y ponderación dentro de un controlador predictivo generalizado (GPC).
Métodos: La estrategia de control se aplica en una planta a nivel que cuenta con tanques concéntricos interconectados. Para el, se compara un controlador PID difuso con el GPC propuesto, equipado con parámetros de supresión y ponderación difusos. Se emplean métricas de evaluación relacionadas con el tiempo de respuesta y criterios de integración para la comparación.
Resultados: Los resultados demuestran la superioridad del GPC combinado con lógica difusa sobre el controlador PID difuso. Los factores de ponderación dinámica contribuyen a mejorar el rendimiento del control, como lo evidencian las métricas de evaluación.
Conclusiones: El enfoque propuesto resultó ser efectivo para mejorar el rendimiento de control en el sistema probado. Este enfoque ofrece una alternativa prometedora a los métodos tradicionales, especialmente en sistemas que se benefician de ajustes dinámicos.
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Copyright (c) 2025 Sara Correa Tamayo, Juan David Ospina Correa, Jhon Alexander Ramírez Urrego, Jesus Maria Lopez Lezama, Nicolas Muñoz Galeano
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