COMPARISON OF CONTROL STRATEGIES FOR DISSOLVED OXYGEN CONCENTRATION IN ACTIVATED SLUDGE PROCESS

被引：0

作者：

Akyurek, Evrim ^{[1
]}

Karadurmus, Erdal ^{[2
]}

Yuceer, Mehmet ^{[3
]}

Goz, Eda ^{[1
]}

Atasoy, Ilknur ^{[4
]}

Berber, Ridvan ^{[1
]}

机构：

[1] Ankara Univ, Dept Chem Engn, Fac Engn, TR-06100 Ankara, Turkey

[2] Hitit Univ, Dept Chem Engn, Fac Engn, TR-19100 Corum, Turkey

[3] Inonu Univ, Dept Chem Engn, Fac Engn, TR-44280 Malatya, Turkey

[4] Refik Saydam Hyg Ctr, TR-06100 Ankara, Turkey

来源：

FRESENIUS ENVIRONMENTAL BULLETIN | 2016年 / 25卷 / 06期

关键词：

Waste water treatment plant; ASM model; control studies; WATER TREATMENT PROCESS; MODEL-PREDICTIVE CONTROL; BIOLOGICAL NITROGEN REMOVAL; SEQUENCING BATCH REACTOR; ADAPTIVE-CONTROL; NEURAL-NETWORK; OPTIMIZATION; PRETREATMENT; ENHANCEMENT; DIGESTION;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Different control algorithms were compared and tested for activated sludge wastewater treatment process. Proportional-integral-derivative control (PID), Model Predictive Control (MPC) with linear model, MPC with non-linear model, Nonlinear Autoregressive-Moving Average (NARMA-L2) control, Neural Network Model Predictive Control (NN-MPC) and optimal control with Sequential Quadratic Programming (SQP) algorithm were evaluated via simulation of activated sludge model. Controlled and manipulated variables were selected as dissolved oxygen level and aeration rate, respectively. Rise time, overshoot, Integral Absolute Error (IAE) and Integral Square Error (ISE) were calculated for each controller. It was concluded that NARMA-L2 controller and optimal control with SQP would outperform the other control strategies.

引用

页码：2099 / 2112

页数：14

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