Method for real time optimization and parallel computing of model prediction control based on computing chart
US11763166B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 27, 2021 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | May 11, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure relates to a method for real time optimization and parallel computing of model prediction control based on a computing chart, comprising the following steps: building a prediction model of a system state amount and building a target function of a system; building a parallel computing architecture for model prediction control of a prediction model and the target function and employing a triggering parallel computing method by the parallel computing architecture to synchronously compute the prediction model and the target function; and solving and computing a gradient with a manner of back propagation and using a gradient descent method to optimize a control amount of the system and realize real time optimal control of the system. Compared with the prior art, the present disclosure greatly improves a computing efficiency, ensures real time property of a model prediction controller, and extends application fields of model prediction control.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.