A method for estimating wing deflection angular velocity by separating the effects of compound multi-source disturbances

Abstract

The invention discloses a method for estimating wing deflection angular velocity under the influence of compound multi-source disturbance, which uses modal decomposition to extract the wing deflection angular velocity under the influence of compound multi-source disturbance; The attitude measurement system (abbreviation: distributed POS) flight data establishes the wing deflection angular velocity model to solve the problem of low accuracy of the sub-IMU pose measurement due to the deformation of the flexible wing, thereby improving the accuracy of the airborne distributed POS. The invention can be used to significantly improve the airborne distributed multi-load sub-IMU pose accuracy, and make up for the deficiency in the research of the traditional wing deflection estimation method.

Description

technical field [0001] The invention belongs to the field of navigation, and relates to a method for estimating the angular velocity of wing deflection by separating the influence of compound multi-source disturbances. Background technique [0002] In recent years, the airborne distributed POS (Position and Orientation System) has been widely used in the field of aviation, national defense and military, especially in the field of multi-task imaging load high-precision earth observation, because of its characteristics of multi-node measurement and high pose accuracy. application. When the traditional distributed POS performs sub-IMU pose measurement, the wings between the main and sub-measurement nodes are rigid mechanisms by default. However, affected by internal and external multi-source disturbances such as engine vibration and gusts, the wings undergo flexible deformation, and the resulting deformation and deflection angles lead to real-time changes in the relative spati...

AI Technical Summary

Problems solved by technology

However, affected by internal and external multi-source disturbances such as engine vibration and gusts, the wings undergo flexible deformation, and the resulting deformation and deflection angles lead to real-time changes in the relative spatial information between sensor nodes, thereby reducing the distributed POS sub-IMU pose measurement. precision

In terms of estimation methods, the traditional Markov model-based modeling is an empirical model and lacks universality; the model established based on the wing structure parameters often has complex parameters, and does not consider many factors that cause wing deformation and their respective parameters. features, the modeling efficiency is not high, and the estimation of the deflection angular velocity is slow

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