Pose measurement and assembly of spacecraft components based on assembly features and a consistent coordinate system

被引:6
作者
Chen, Shuqing [1 ]
Li, Tiemin [1 ]
Jiang, Yao [1 ]
机构
[1] Tsinghua Univ, Dept Mech Engn, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Spacecraft component; Precision assembly; Pose measurement; Assembly features; Consistent coordinate system; CAMERA CALIBRATION; ALIGNMENT; TASK;
D O I
10.1007/s00170-022-08864-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To assemble spacecraft automatically and precisely, it is vital to measure the relative spatial pose (position and orientation) of the assembly features of the spacecraft components before assembly. For large-scale spacecraft components, the global measurement method is mainly utilized to guide assembly control, and its accuracy and efficiency have ultimately failed to meet requirements. To address this issue, a novel measurement method is proposed. Since the goal is to measure the relative spatial pose of the assembly features of the spacecraft components, the proposed method measures it directly to ensure the consistency of the measurement and assembly coordinate system. This method has the advantage of high precision because it can reduce the influence of structural parameter errors and is not limited by the scale of the spacecraft components. In addition, it requires only one offline calibration, which significantly improves the efficiency of online measurement and assembly. Taking the control moment gyroscope (CMG) assembly task as an example, a measurement system and its corresponding calibration device are designed and developed. After calibration by the calibration device, the measurement system is mounted on the assembly features of the CMG to measure the relative spatial pose between the assembly features of the CMG and the assembly features of the mounted base (MB). Finally, six assembly experiments are completed according to the measurement results. The experimental results show that this method has high accuracy and can guide the robot to achieve high assembly accuracy, satisfying the assembly requirements of typical spacecraft components.
引用
收藏
页码:2429 / 2442
页数:14
相关论文
共 31 条
[1]   The Yale human grasping dataset: Grasp, object, and task data in household and machine shop environments [J].
Bullock, Ian M. ;
Feix, Thomas ;
Dollar, Aaron M. .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2015, 34 (03) :251-255
[2]   Robotic assembly of smartphone back shells with eye-in-hand visual servoing [J].
Chang, Wen-Chung .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2018, 50 :102-113
[3]   A comprehensive review of robotic assembly line balancing problem [J].
Chutima, Parames .
JOURNAL OF INTELLIGENT MANUFACTURING, 2022, 33 (01) :1-34
[4]   Construction and uncertainty evaluation of large-scale measurement system of laser trackers in aircraft assembly [J].
Gai, Yuhang ;
Zhang, Jiwen ;
Guo, Jiuming ;
Shi, Xunlei ;
Wu, Dan ;
Chen, Ken .
MEASUREMENT, 2020, 165 (165)
[5]   Engineering Challenges Ahead for Robot Teamwork in Dynamic Environments [J].
Geihs, Kurt .
APPLIED SCIENCES-BASEL, 2020, 10 (04)
[6]   Joint Depth and Color Camera Calibration with Distortion Correction [J].
Herrera, Daniel C. ;
Kannala, Juho ;
Heikkila, Janne .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 34 (10) :2058-2064
[7]   Performance Evaluation of Optical Motion Capture Sensors for Assembly Motion Capturing [J].
Hu, Haopeng ;
Cao, Zhiqi ;
Yang, Xiansheng ;
Xiong, Hao ;
Lou, Yunjiang .
IEEE ACCESS, 2021, 9 :61444-61454
[8]   Development of Multibody Marine Robots: A Review [J].
Kang, Shuai ;
Yu, Jiancheng ;
Zhang, Jin ;
Jin, Qianlong .
IEEE ACCESS, 2020, 8 :21178-21195
[9]   Hole Detection Algorithm for Chamferless Square Pegin-Hole based on Shape Recognition using F/T Sensor [J].
Kim, Young-Loul ;
Song, Hee-Chan ;
Song, Jae-Sok .
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2014, 15 (03) :425-432
[10]   Calibration of the laser displacement sensor and integration of on-site scanned points [J].
Kou, Meng ;
Wang, Gang ;
Jiang, Cheng ;
Li, Wen-long ;
Mao, Jin-cheng .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2020, 31 (12)