A Method for Morphological Reconstruction of Long Board Structure based on Segmented Calibration of Resistance Strain Gauges

2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2018-10-01 DOI:10.1109/IAEAC.2018.8577585

Qi Lu, Hesheng Zhang, Xiaojin Zhu, Zhiyuan Gao, Yijia Zhou

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引用次数: 1

Abstract

Researches on the morphological sensing and reconstruction methods for key long board structure of aerospace vehicles are of great significance to the safe and reliable operation of these spacecraft. Therefore, a method for morphological reconstruction of flexible long board structure based on the segmentation calibration of resistance strain gauges is proposed in this paper. The morphological reconstruction algorithm of long board structure based on strain information is introduced at first. Then, a long board model morphology visualization experiment platform is constructed, and an optimized arrangement and segmented calibration method for the resistance strain gauges array is explained. Finally, the verification of real-time sensing and reconstruction experiments of the long board structure is performed. The results show that the morphological perception and reconstruction effect of long board structure experimental model is expected, which verifies the feasibility and effectiveness of the proposed method.

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基于电阻应变片分段校准的长板结构形态重建方法

航天飞行器关键长板结构形态感知与重构方法的研究对航天飞行器安全可靠运行具有重要意义。为此，本文提出了一种基于电阻应变片分割标定的柔性长板结构形态重建方法。首先介绍了基于应变信息的长板结构形态重建算法。然后，构建了长板模型形态学可视化实验平台，阐述了电阻应变片阵列的优化布置和分段校准方法。最后，对长板结构进行了实时传感和重构实验验证。结果表明，长板结构实验模型的形态感知和重构效果达到预期，验证了所提方法的可行性和有效性。

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2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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