Type-2 fuzzy neural network-based cooperative control method for wastewater treatment process
US11530139B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 25, 2019 |
| Grant date | Dec 20, 2022 |
| Priority date | — |
| Expiry date | Mar 8, 2041 |
Classification
- Technology area (CPC C)Chemistry; Metallurgy
- CPC primaryC02F2209/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.