期刊
CONTROL ENGINEERING PRACTICE
卷 49, 期 -, 页码 60-75出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2016.01.005
关键词
Wastewater treatment plant; BSM2 benchmark; Model predictive control; Fuzzy control; Artificial neural networks; Violations risk detection
资金
- Spanish CICYT program [DPI2013-47825-C3-1-R]
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. (C) 2016 Elsevier Ltd. All rights reserved.
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