Invention Grant
- Patent Title: Type-2 fuzzy neural network-based cooperative control method for wastewater treatment process
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Application No.: US16694911Application Date: 2019-11-25
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Publication No.: US11530139B2Publication Date: 2022-12-20
- Inventor: Honggui Han , Jiaming Li , Xiaolong Wu , Junfei Qiao
- Applicant: BEIJING UNIVERSITY OF TECHNOLOGY
- Applicant Address: CN Beijing
- Assignee: BEIJING UNIVERSITY OF TECHNOLOGY
- Current Assignee: BEIJING UNIVERSITY OF TECHNOLOGY
- Current Assignee Address: CN Beijing
- Agency: J.C. Patents
- Priority: CN201910899611.7 20190923
- Main IPC: C02F1/20
- IPC: C02F1/20 ; G06N20/10 ; C02F1/58 ; C02F3/30 ; G05B13/02 ; G06F17/16 ; G06F17/18 ; G06N3/04 ; G06N3/08 ; C02F101/16

Abstract:
A cooperative fuzzy-neural control method is designed in this present invention. Due to the difficulty for cooperatively controlling the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process, a cooperative fuzzy-neural control method is investigated. In this proposed method, firstly, a interval type-2 fuzzy neural network is employed to construct the cooperative fuzzy-neural controller. Secondly, a parameter cooperative strategy is proposed to cooperatively optimize the global and local parameters of the cooperative fuzzy-neural controller to meet the control requirements. This proposed cooperative fuzzy-neural control method can cooperatively control the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process. The results illustrate that the proposed cooperative fuzzy-neural control method can achieve the high control accuracy and guarantee the normal operations of wastewater treatment process under the different operation conditions.
Public/Granted literature
- US20210087074A1 TYPE-2 FUZZY NEURAL NETWORK-BASED COOPERATIVE CONTROL METHOD FOR WASTEWATER TREATMENT PROCESS Public/Granted day:2021-03-25
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