Inclination angle measurement error data correction system and method of experimental model in wind tunnel

Abstract

The invention discloses an inclination angle measurement error data correction system and method of an experimental model in a wind tunnel when the experimental model is placed in the wind tunnel to be subjected to a blowing experiment. The inclination angle measurement data correction system comprises a data preprocessing module, a model training module and an error data correction module, and the correction method comprises three steps: data preprocessing, model training and error data correcting. The invention provides a multi-stage and multi-model fusion error correction method based on a neural network model as a basic model, the model fitting degree is higher, the calculation result is more accurate, the nonlinear error, caused by vibration of the model under the wind action, in data measured actually by an inclination angle sensor can be corrected well, and the correction error of the correction system can be controlled within 0.004-0.01 degree near the 0 degree.

Description

technical field [0001] The invention relates to an experimental model in a wind tunnel, a correction system and a correction method for the inclination angle measurement error data of the experimental model in the wind tunnel during the blowing experiment process. Background technique [0002] At present, the measurement technology of supersonic and transonic wind tunnel models is more and more used in the production and testing of civilian products, and the requirements and accuracy of testing technology are getting higher and higher. Since the wind tunnel test process is a complex aerodynamic experiment with many links, it is affected by many factors such as test tools, test environment, and tester's technical mastery level, which will affect the test conclusion, test precision and accuracy. and error. How to obtain accurate test data and eliminate the influence of the environment on accuracy is crucial to the measurement technology of supersonic and transonic wind tunnel...

AI Technical Summary

Problems solved by technology

If the conventional mathematical fitting method is used to obtain this function, then the key problem to be solved is not only to make a reasonable mathematical description of the possible variables, but also to explore as many variables as possible in the environment. It is difficult to accurately define the vibration error fitting model in the wind tunnel, and the expansion ability of the model is not guaranteed.

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