Patent · US Active

Intelligent control method for dynamic neural network-based variable cycle engine

US11823057B2 · kind B2 · utility

0Cited by

1References

1Claims

0Family size

Assignee

Dalian University of Technology · CN

Inventors

Yanhua MA · Dalian, CN
Xian DU · 东风镇, CN
Ximing SUN · 东风镇, CN
Weiguo Xia · 东风镇, CN

Key dates

Filing date	Feb 28, 2020
Grant date	Nov 21, 2023
Priority date	—
Expiry date	Mar 5, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/048
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

An intelligent control method for a dynamic neural network-based variable cycle engine is provided. By adding a grey relation analysis method-based structure adjustment algorithm to the neural network training algorithm, the neural network structure is adjusted, a dynamic neural network controller is constructed, and thus the intelligent control of the variable cycle engine is realized. A dynamic neural network is trained through the grey relation analysis method-based network structure adjustment algorithm designed by the present invention, and an intelligent controller of the dynamic neural network-based variable cycle engine is constructed. Thus, the problem of coupling between nonlinear multiple variables caused by the increase of control variables of the variable cycle engine and the problem that the traditional control method relies too much on model accuracy are effectively solved.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.