Prediction control method and system for component contents in rare earth extraction process
US11214850B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 8, 2019 |
| Grant date | Jan 4, 2022 |
| Priority date | — |
| Expiry date | Aug 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/32335
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention discloses a prediction control method and system for component contents in a rare earth extraction process. The prediction control method includes: establishing an Elman neural network model of a rare earth extraction process; obtaining a predicted output value of the rare earth extraction process through the Elman neural network model of the rare earth extraction process; calculating an optimal set value through steady-state optimization; dynamically predicting an extractant flow increment and a detergent flow increment based on the predicted output value and the optimal set value; and controlling component contents in the rare earth extraction process according to the extractant flow increment and the detergent flow increment. According to the present invention, an optimal setting problem of a set point is solved through steady-state optimization calculation, and then an optimal control effect is achieved in combination with a dynamic prediction control method, thereby achieving optimal setting control over the component contents in the rare earth extraction process, and ensuring the product quality of the rare earth extraction process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.