Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process

Optimal control system has been considered as a valuable technique to enhance the reliability and security of wastewater treatment process (WWTP). However, due to the complex environments, it is difficult to realize the optimal control with changeable operational conditions in WWTP. To overcome this...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2021-06, Vol.51 (6), p.3464-3476
Main Authors: Han, Honggui, Zhang, Lu, Liu, Hong-Xu, Yang, Cuili, Qiao, Junfei
Format: Article
Language:English
Subjects:
Algorithms
Control systems
Dynamic multiobjective particle swarm optimization
Energy consumption
flexible objective functions
Indexes
intelligent optimal control system
Linear programming
Multiple objective analysis
Optimal control
Optimization
Process control
Wastewater treatment
wastewater treatment process (WWTP)
Water treatment
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Optimal control system has been considered as a valuable technique to enhance the reliability and security of wastewater treatment process (WWTP). However, due to the complex environments, it is difficult to realize the optimal control with changeable operational conditions in WWTP. To overcome this problem, an intelligent optimal control system with flexible objective functions (IOCS-FOF) was proposed in this paper. The main merits of this proposed IOCS-FOF were shown as follows. First, an optimal control system scheme was developed, where different time-scale operational objectives were detailed to describe the operational features. Second, a flexible objective strategy was designed to determine suitable objective functions, which could adapt to complex environments of WWTP. Third, a novel dynamic multiobjective optimization algorithm for flexible objectives (FO-DMOA) was developed to obtain the optimal solutions of IOCS-FOF. Finally, the proposed IOCS-FOF was applied in the benchmark simulation model No. 1 (BSM1) to confirm its technique capability. The results demonstrate that this proposed method can improve the operation performance of WWTP.
ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2019.2927631