火星降落伞开伞过程形态参数辨识与应用

doi:10.7527/S1000-6893.2022.27007

Abstract

Abstract:

Aiming at the difficulty in obtaining data for flexible targets under conditions such as significant changes in morphology， large variation in light intensity， poor regularity of motion， and existence of target occlusion during the parachute opening process， we propose a morphological parameter identification method based on vision measurement of multi-algorithm fusion. Firstly， we design a parachute pattern with the visual measurement function for targets， providing a wealth of distinguishable marker points to accurately track and measure the anchor points. The internal and external parameter calibration of binocular cameras is carried out. Then the application of the epipolar geometry principle is proposed. The image enhancement technology based on the dark channel is adopted to improve the image quality and effectively reduce the influence of various environmental factors such as noise and overexposure. The feature tracking of the extended Kalman filter algorithm is used to improve the accuracy and efficiency of feature matching tracking. The super-resolution reconstruction algorithm based on sparse coding is employed to improve the pixel-level extraction of feature points and achieve high precision sub-pixel level feature extraction. Finally the identification method is verified by a full-size high-altitude parachute opening experiment. The results show that the method can achieve high identification accuracy with good precision and robustness. This identification method is successfully applied to the circumlunar return and reentry spacecraft of China’s first Mars exploration mission – Tianwen -1 probe. The morphological parameters during the parachute opening process are accurately identified from binocular images， and the on-orbit results provide important technical reference and data accumulation for the design and analysis of parachute opening conditions.

Key words: Mars parachute, opening process, morphological parameter identification, super-resolution reconstruction based on sparse coding, feature tracking of extended Kalman filter

CLC Number:

V244.216

Xin ZOU, Minglei LI, Daiyin ZHU, Wei RAO, Chengzhi HAN, Ying LI. Application of morphological parameter identification for Mars parachute during opening process[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023, 44(6): 227007-227007.

Figures/Tables 18

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Application of morphological parameter identification for Mars parachute during opening process

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