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Control incremental multi-subreservorios de red de estado de eco para el proceso de aireación incierto

Cuili Yang1, Qingrun Zhang1, Jiahang Zhang1

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Neural networks : the official journal of the International Neural Network Society
|December 17, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Un novedoso controlador incremental multi-subreservorios de red de estado de eco (IMSESN) mejora el control de oxígeno disuelto en el tratamiento de aguas residuales. Este método mejora la precisión del seguimiento y la eficiencia computacional para procesos de aireación inciertos.

Palabras clave:
Observador de perturbacionesRed de estado de ecoControl de seguimientoProceso de tratamiento de aguas residuales

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Área de la Ciencia:

  • Ingeniería Ambiental
  • Ingeniería de Control
  • Inteligencia Artificial

Sus antecedentes:

  • El control del oxígeno disuelto (OD) en los procesos de tratamiento de aguas residuales (PTAR) es un desafío debido a la dinámica no lineal y las perturbaciones desconocidas.
  • Los métodos existentes luchan con las incertidumbres inherentes de los procesos de aireación.

Objetivo del estudio:

  • Proponer un controlador avanzado para el control robusto de oxígeno disuelto en PTAR.
  • Mejorar la adaptabilidad y reducir la complejidad computacional en el control de la aireación.

Principales métodos:

  • Utilización de una red de estado de eco (ESN) como aproximador del estado del sistema y un observador de perturbaciones para perturbaciones no medibles.
  • Incorporación de un mecanismo de incremento de subreservorio impulsado por error para una mejor aproximación de la incertidumbre.
  • Aplicación del algoritmo de parámetro de aprendizaje mínimo (MLP) para optimizar las actualizaciones de peso y reducir la carga computacional.
  • Empleo de la teoría de estabilidad de Lyapunov para probar la estabilidad del sistema de bucle cerrado.

Principales resultados:

  • El controlador propuesto de red de estado de eco multi-subreservorio incremental (IMSESN) demostró una precisión de seguimiento superior en comparación con los métodos existentes.
  • El controlador exhibió una eficiencia computacional significativa, validada a través de simulaciones en el modelo de simulación de referencia n.º 1 (BSM1).
  • El sistema mostró robustez en diversas condiciones climáticas, lo que indica un rendimiento confiable en escenarios del mundo real.

Conclusiones:

  • El controlador IMSESN ofrece una solución eficaz para el control preciso del oxígeno disuelto en PTAR.
  • El método desarrollado equilibra alta precisión de control con demandas computacionales reducidas.
  • Este enfoque proporciona un avance prometedor para optimizar las operaciones de tratamiento de aguas residuales.