Fiter M, Güell D, Comas J, Colprim J, Poch M, Rodríguez-Rodal I
Laboratory of Chemical and Environmental Engineering, University of Girona. Campus Montilivi s/n, E-17071 Girona, Catalonia, Spain.
Environ Technol. 2005 Nov;26(11):1263-70. doi: 10.1080/09593332608618596.
Many uncertain factors affect the operation of Wastewater Treatment Plants. Due to the complexity of biological wastewater treatment processes, classical methods show significant difficulties when trying to control them automatically. Consequently soft computing techniques and, specifically, fuzzy logic appears to be a good candidate for controlling these ill-defined, time-varying and non-linear systems. This paper describes the development and implementation of a Fuzzy Logic Controller to regulate the aeration in the Taradell Wastewater Treatment Plant. The main goal of this control process is to save energy without decreasing the quality of the effluent discharged. The fuzzy controller integrates the information coming from two different signals: the Dissolved Oxygen and Oxidation-Reduction Potential values. The simulation results proved that fuzzy logic is a good tool for controlling the aeration of the wastewater treatment plant. The results obtained show that energy savings of more than 10% can be achieved using aeration fuzzy control and at the same time still keeping the good removal levels.
许多不确定因素会影响污水处理厂的运行。由于生物废水处理过程的复杂性，传统方法在尝试对其进行自动控制时存在显著困难。因此，软计算技术，特别是模糊逻辑，似乎是控制这些定义不明确、时变且非线性系统的理想选择。本文描述了一种模糊逻辑控制器的开发与实施，用于调节塔拉德尔污水处理厂的曝气。该控制过程的主要目标是在不降低排放废水质量的情况下节约能源。模糊控制器整合了来自两个不同信号的信息：溶解氧和氧化还原电位值。仿真结果证明，模糊逻辑是控制污水处理厂曝气的良好工具。所获得的结果表明，采用曝气模糊控制可实现超过10%的节能，同时仍能保持良好的去除水平。
