A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes

被引：50
作者：
Han, Honggui [1 ]
Wu, Xiaolong [1 ]
Qiao, Junfei [1 ]
机构：
[1] Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Fac Informat Technol, Beijing 100124, Peoples R China
来源：
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2019年 / 27卷 / 04期
基金：
北京市自然科学基金; 美国国家科学基金会;
关键词：
Self-organizing fuzzy-neural network (SOFNN); self-organizing sliding-mode controller (SOSMC); stability analysis; wastewater treatment process (WWTP); DISSOLVED-OXYGEN CONTROL; PREDICTIVE CONTROL; FUZZY; DESIGN; SYSTEMS;
D O I：
10.1109/TCST.2018.2836358
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 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; and 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.
引用
收藏
页码：1480 / 1491
页数：12
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