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Multi-objective optimization based controller design for improved wastewater treatment plant operation
Environmental Technology & Innovation ( IF 7.1 ) Pub Date : 2021-04-28 , DOI: 10.1016/j.eti.2021.101591
E.S.S. Tejaswini , Soniya Panjwani , Uday Bhaskar Babu Gara , Seshagiri Rao Ambati

Wastewater treatment plants (WWTPs) are highly complex and nonlinear processes. The challenge lies in the design of a control strategy to lower the operational costs and to enhance the effluent quality simultaneously. In this research, PI controllers are designed for control of biological WWTPs and Benchmark Simulation Model No. 1 (BSM1) is used as a working platform. Genetic Algorithms which are a subclass of evolutionary search algorithms are used to determine optimal PI controller parameters to achieve improved effluent quality with minimum operational expenses. Different objective functions such as Indices for Effluent Quality and Operational Cost, and Integral Square Error (ISE) for the design of controllers are considered. A Pareto optimal curve is plotted for different conditions and the best combination is evaluated. The results indicated that the controllers designed using this approach provided improved WWTP operation.



中文翻译:

基于多目标优化的控制器设计,用于改善污水处理厂的运行

废水处理厂(WWTP)是高度复杂且非线性的过程。挑战在于控制策略的设计,以降低运营成本并同时提高废水质量。在这项研究中,PI控制器设计用于控制生物废水处理厂,并且使用基准仿真模型No.1(BSM1)作为工作平台。进化搜索算法的子类遗传算法用于确定最佳的PI控制器参数,从而以最小的运行费用实现改善的出水水质。考虑了不同的目标函数,例如废水质量和运行成本的指标以及用于控制器设计的积分平方误差(ISE)。绘制了针对不同条件的帕累托最优曲线,并评估了最佳组合。

更新日期:2021-05-03
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