Online identification method for pneumatic parameters of vertical take-off and landing vehicle

Abstract

The invention discloses an online identification method for pneumatic parameters of a vertical take-off and landing vehicle. According to the method, on the basis of wind tunnel data, the pneumatic parameters under different flight conditions are identified by using a maximum likelihood method, and then the relationship between the flight conditions of the vehicle and the pneumatic parameters is established by training a neural network so as to adapt to the condition that the pneumatic parameters of the vehicle change along with the flight conditions. Pneumatic parameter identification is performed based on the wind tunnel data and the maximum likelihood method, and the pneumatic parameters obtained by the wind tunnel data pneumatic interpolation table can provide good initial values for parameter identification by the maximum likelihood method; the trained neural network can be used for pneumatic parameter on-line identification, is good in real-time performance, and has good engineering practicability. The method solves the problems that a group of pneumatic parameters correspond to various flight conditions in offline identification of the pneumatic parameters of the vertical take-off and landing vehicle and are not consistent with reality, and the online identification real-time performance of the pneumatic parameters of the vehicle is poor, and can be used for online pneumatic parameter identification.

Description

technical field [0001] The invention belongs to the field of aircraft aerodynamic parameter identification, and relates to an online identification method for aerodynamic parameters of a vertical take-off and landing vehicle, in particular to an online identification method for aerodynamic parameters of a vertical take-off and landing vehicle based on a maximum likelihood method and a BP neural network. Background technique [0002] Obtaining the accurate aerodynamic characteristics of the vehicle is the basis for developing a high-performance vehicle autopilot. At present, there are three ways to obtain the aerodynamic parameters of the vehicle: wind tunnel test, numerical calculation, and flight test. The wind tunnel test measures the aerodynamic characteristics of the vehicle by simulating the flight conditions, but because it cannot completely simulate the real flight environment of the vehicle, it will cause a large deviation of the aerodynamic parameters; while the num...

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Problems solved by technology

[0003] The object of the present invention is to provide a method for online identification of aerodynamic parameters of a vertical take-off and landing vehicle, which solves the problem that a group of aerodynamic parameters in the offline identification of aerodynamic parameters of a vertical take-off and landing vehicle does not match the actual flight conditions and the aerodynamic parameters of the vehicle The problem of poor real-time online identification can be used for online aerodynamic parameter identification

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