Paper Info
Title
A self-organizing sliding-mode controller for wastewater treatment process
Abstract
Nonlinearity, uncertainties and disturbances exist extensively in wastewater treatment processes (WWTPs), which result in control performance degradation and critical instability. To solve this problem, an efficient self-organizing sliding-mode controller (SOSMC) is proposed to achieve acceptable and stable control performance for WWTPs. The novelties of SOSMC involve: 1) A practical control strategy, combining advantages of sliding-mode control (SMC) and fuzzy-neural network, was designed to suppress the disturbances and uncertainties of WWTPs. 2) A self-organizing mechanism, based on the tracking error and structure complexity, was developed to alleviate the chattering phenomenon of SOSMC and improve the control performance. 3) The stability analysis, including the fixed and adaptive structures, was given to ensure the successful applications of SOSMC. Finally, experimental investigations on a real WWTP are employed to validate the merits of the proposed method.
Year
DOI
Keywords
2019
10.1109/tcst.2018.2836358
Self-organizing sliding-mode controller, wastewater treatment process, self-organizing fuzzy-neural network, stability analysis.
Field
DocType
ISSN
Control theory,Nonlinear system,Control theory,Control engineering,Robustness (computer science),Process control,Fuzzy control system,Mathematics,Tracking error
Journal
1063-6536
Citations 
PageRank 
References 
2
0.37
0
Authors
3
Name
Order
Citations
PageRank
Hong-Gui Han147639.06
伍小龙240.73
乔俊飞3442.77