Control predictivo centralizado y distribuido de una red de recogida de aguas residuales

  1. Antonio Cembellín Sánchez 1
  2. Mario Francisco Sutil 1
  3. Pastora I. Vega Cruz 1
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Llibre:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Editorial: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Any de publicació: 2019

Pàgines: 178-185

Congrés: Jornadas de Automática (40. 2019. Ferrol)

Tipus: Aportació congrés

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Resum

In this work, Model-Based Predictive Control algorithms applied to a simulated sewer network have been developed, particularly, Centralized and Distributed Predictive Control. For the distributed algorithms, sectorization techniques based on structural analysis have been applied providing a criterion to decompose a complex system into interconnected subsystems that may be controlled in a local way together with coordination modules to accomplish proper negotiation processes between local controllers. Moreover, a dynamic set-point generation method has been proposed to improve the system performance. A comparison of results obtained with both methodologies (centralised and distributed approach) allows some conclusion to be drawn and given at the end.

Fuente de los datos: Dialnet