Paper Info
Title
A Hybrid Intelligent Optimal Control System Design For Wastewater Treatment Process
Abstract
Due to the characteristics of large lag and high nonlinearity, the optimizing operation of wastewater treatment process (WWTP) is difficult to be designed. To solve this problem, a control optimization system based on hybrid intelligent technology is proposed in this paper. This system includes a feed-forward compensator, a feedback supervision module, a pre-setting module and a soft-sensor module. To obtain the minimum energy consumption (EC) under effluent standards, the set-points of the dissolved oxygen concentration and nitrate nitrogen concentration are adjusted through feed-forward compensation, feedback correction and online estimation. Finally, the proposed approach is applied on the WWTP simulation model. Compared to the proportional-integral-derivative (PID) and data-driven adaptive optimal controller (DDAOC) methods, simulation results of the method proposed in this paper show better performance.
Year
DOI
Venue
2017
10.5755/j01.itc.46.3.16061
INFORMATION TECHNOLOGY AND CONTROL
Keywords
Field
DocType
nonlinear, wastewater treatment, hybrid intelligent, optimization system
Control theory,Nonlinear system,Optimal control,PID controller,Computer science,Control theory,Systems design,Sewage treatment,Energy consumption,Lag
Journal
Volume
Issue
ISSN
46
3
1392-124X
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Jun-Fei Qiao16915.62
Gai-Tang Han201.01
Hong-Gui Han347639.06
Cuili Yang4174.38
Wei Li5436140.67