Advanced decision control system for effluent violations removal in wastewater treatment plants

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27 Citations (Scopus)

Abstract

© 2016 Elsevier Ltd. This paper presents the application of control strategies for wastewater treatment plants with the goal of effluent limits violations removal as well as achieving a simultaneous improvement of effluent quality and reduction of operational costs. The evaluation is carried out with the Benchmark Simulation Model No. 2. The automatic selection of the suitable control strategy is based on risk detection of effluent violations by Artificial Neural Networks. Fuzzy Controllers are implemented to improve the denitrification or nitrification process based on the proposed objectives. Model Predictive Control is applied for the improvement of dissolved oxygen tracking.
Original languageEnglish
Pages (from-to)60-75
JournalControl Engineering Practice
Volume49
DOIs
Publication statusPublished - 1 Apr 2016

Keywords

  • Artificial neural networks
  • BSM2 benchmark
  • Fuzzy control
  • Model predictive control
  • Violations risk detection
  • Wastewater treatment plant

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