Parameter normalization dynamic modeling analysis method and system for multi-type qar data

Abstract

The application relates to the technical field of parameter normalization dynamic modeling analysis, and provides a parameter normalization dynamic modeling analysis method and system for multi-type QAR data. The method provides an airplane stall early warning and aerodynamic optimization method: first, an aerodynamic atlas is generated in combination with wind tunnel data and classical theory, and multi-type QAR flight data are collected to extract stall characteristics; subsequently, a micro vortex device at the trailing edge of the wing is used to actively regulate the airflow of the wing, and a three-dimensional data field is formed; then, a vortex entropy field algorithm is used to identify an entropy change peak point, a dimensionless performance parameter mapping relationship is established in combination with flight data and a theoretical benchmark, and finally, an aerodynamic performance evaluation model suitable for multiple working conditions is constructed. Through the collaborative analysis of the theoretical atlas and the flight data and in combination with the active vortex control technology, the application solves the problem of poor QAR data modeling effect in the prior art, realizes accurate intervention of airplane stall characteristics and dynamic evaluation of aerodynamic performance, and significantly improves flight safety and efficiency.

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