A Flexible Baseline Dynamic Prediction Method Based on Fiber Bragg Grating Sensors and Wing Modes

Abstract

The invention discloses a flexible baseline dynamic prediction method based on optical fiber grating sensors and airfoil modes. The baseline dynamic model established by real-time data predicts the change of the baseline quantity in the future; the modal method is used to reduce the calculation amount and dynamic modeling is used to predict the flexible baseline ahead of time to solve the real-time transfer error caused by the time-consuming calculation of the measured strain variable to the baseline quantity. The problem of quasi-time delay helps to achieve real-time transfer and alignment of sub-nodes with high-precision poses. The invention can be used to significantly improve the real-time performance of the transfer alignment, and make up for the deficiency of the previous research on the baseline solution and estimation method.

Description

technical field [0001] The invention belongs to the field of navigation, and relates to a flexible baseline dynamic prediction method based on a fiber grating sensor and a wing mode. Background technique [0002] In recent years, the airborne distributed POS (Position and Orientation System) has been widely used in the field of aviation and national defense military, especially in the field of high-precision earth observation of multi-mission imaging payloads because of its ability to achieve multi-node measurement and high accuracy of pose and attitude. application. As a technology for the distributed master node to assist in aligning the poses of sub-nodes, transfer alignment is the key technology of distributed POS. However, transfer alignment technology currently needs further research in terms of flexible lever arm conditions and real-time dynamic alignment. On the one hand, from the point of view of the flexible baseline measurement method, the existing method based o...

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Problems solved by technology

As a technology for distributed master nodes to assist in aligning sub-node poses, transfer alignment is a key technology for distributed POS. However, transfer alignment technology still needs further research in terms of flexible lever arm conditions and real-time dynamic alignment.

On the one hand, from the perspective of the flexible baseline measurement method, the existing method based on the FBG sensor to obtain the displacement through fitting has a relatively large amount of calculation and poor rapidity, which is not suitable for dynamic measurement; on the other hand, based on the FBG sensor The calculation of the conversion from the measured strain to the baseline takes time, but in the actual flight process, the transfer alignment between the main node and the sub-node and the strain measurement of the current wing by the sensor are carried out simultaneously, so the baseline converted by the sensor at the current measurement time cannot be calculated. Real-time is used to transfer the alignment process at the current moment, resulting in time out-of-sync problems

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