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

共 50 条

[21] Relationship between organic loading, dissolved oxygen concentration and sludge settleability in the completely-mixed activated sludge process
Palm, J.C.
Jenkins, D.
Parker, D.S.
Journal of the Water Pollution Control Federation, 1980, 52 (10): : 2484 - 2506
[22] Dissolved Oxygen Control of the Activated Sludge Wastewater Treatment Process Using Adaptive Fuzzy PID Control
Ye Hong-tao
Li Zhen-qiang
Luo Wen-guang
2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 7510 - 7513
[23] Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control
Coelho Belchior, Carlos Alberto
Matos Araujo, Rui Alexandre
Cardoso Landeck, Jorge Afonso
COMPUTERS & CHEMICAL ENGINEERING, 2012, 37 : 152 - 162
[24] Modeling of Dissolved Oxygen concentration in Activated Sludge Process based on Generalized Dynamic Fuzzy Neural Networks
Xu, Yuge
Zhang, Yongtao
Lin, Meijin
Luo, Fei
26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 4654 - 4659
[25] CONTROL STRATEGIES FOR ACTIVATED-SLUDGE PROCESS
FLANAGAN, MJ
INSTRUMENTATION TECHNOLOGY, 1977, 24 (07): : 35 - 43
[26] CONTROL STRATEGIES FOR THE ACTIVATED-SLUDGE PROCESS
CASHION, BS
KEINATH, TM
SCHUK, WW
JOURNAL WATER POLLUTION CONTROL FEDERATION, 1979, 51 (04): : 815 - 833
[27] Simulation of activated sludge process control strategies
Rangla, MK
Burnham, KJ
Coyle, L
Stephens, RI
INTERNATIONAL CONFERENCE ON SIMULATION '98, 1998, (457): : 152 - 157
[28] Nonlinear fuzzy control of the dissolved oxygen in activated sludge processes
Zawadzki, A.
Piotrowski, R.
2012 IEEE 17TH CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (ETFA), 2012,
[29] CONTROL OF DISSOLVED-OXYGEN IN ACTIVATED-SLUDGE PLANTS
SCHLEGEL, S
LOHMANN, J
WATER SCIENCE AND TECHNOLOGY, 1981, 13 (09) : 225 - 232
[30] DISSOLVED-OXYGEN CONTROL OF ACTIVATED-SLUDGE AERATION
RYDER, RA
WATER RESEARCH, 1972, 6 (4-5) : 441 - &

← 1 2 3 4 5 →