A Multi-Objective Approach to Solve an Optimal Control Problem Applied to a Simplified Activated Sludge System Model

被引：0
|
作者：
Santo, Isabel Espirito [1 ]
Costa, Lino
Monteiro, M. Teresa T.
机构：
[1] Univ Minho, ALGORITMI Ctr, Campus Gualtar, P-4710057 Braga, Portugal
来源：
FUZZY SYSTEMS AND DATA MINING V (FSDM 2019) | 2019年 / 320卷
关键词：
Multi-objective optimization; Optimal control; Wastewater treatment plant; Optimization;
D O I：
10.3233/FAIA190229
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this work a model representing the 24 hours operation of an activated sludge system from a wastewater treatment plant is presented. An optimal control problem is formulated in order to minimize the dissolved oxygen (control variable) and the quality index (amount of pollution). This problem is treated using direct methods, leading to a multi-objective nonlinear problem, solved using a weighted sum multi-objective approach. It was coded in the AMPL programming language and numerical experiments were carried out using the NLP solver from the NEOS Server platform.
引用
收藏
页码：613 / 618
页数：6
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