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

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• 作者：I. Santí ; n ; ^{Ignacio.Santin@uab.cat" class="auth_mail" title="E-mail the corresponding author} ; C. Pedret ^{Carles.Pedret@uab.cat" class="auth_mail" title="E-mail the corresponding author} ; R. Vilanova ^{Ramon.Vilanova@uab.cat" class="auth_mail" title="E-mail the corresponding author} ; M. Meneses ^{Montse.Meneses@uab.cat" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Wastewater treatment plant ; BSM2 benchmark ; Model predictive control ; Fuzzy control ; Artificial neural networks ; Violations risk detection
• 刊名：Control Engineering Practice
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：49
• 期：Complete
• 页码：60-75
• 全文大小：2266 K

文摘

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.