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基于FFRLS的空间机械臂手眼关系在轨标定方法

郑果 徐超凡 李中衡 王少凡 王耀兵

南京航空航天大学学报(自然科学版)2026,Vol.58Issue(3):589-597,9.
南京航空航天大学学报(自然科学版)2026,Vol.58Issue(3):589-597,9.DOI:10.16356/j.2097-6771.2026.03.012

基于FFRLS的空间机械臂手眼关系在轨标定方法

An Online Hand-Eye Calibration Approach for Space Manipulators Based on FFRLS

郑果 1徐超凡 1李中衡 1王少凡 1王耀兵1

作者信息

  • 1. 北京空间飞行器总体设计部空间智能机器人系统技术与应用北京市重点实验室,北京 100094
  • 折叠

摘要

Abstract

With the deepening of space exploration missions,space manipulators have become the core execution mechanisms for strategic tasks such as on-orbit servicing and deep space exploration.However,vibrations during launch,temperature fluctuations in a microgravity environment in space,and component aging caused by cosmic radiation can lead to dynamic drift in the hand-eye relationship of on-orbit manipulators,thereby reducing performance and increasing mission risk.To address these issues,this paper proposes an efficient and high-precision online hand-eye calibration approach suitable for the limited satellite computing environment.First,this paper derives a linear equation system for simultaneously solving the rotation and translation components of the hand-eye relationship,transforming the AX=XB problem into a one-step calculation,and derives the least squares solution.Subsequently,utilizing configuration from the manipulator controller(i.e.,A)and visual measurement data from the camera(i.e.,B)acquired during the execution of routine tasks by the on-orbit manipulator,the forgetting factor recursive least squares(FFRLS)algorithm is employed to achieve online hand-eye calibration.Finally,comparative experiments are conducted using a dataset constructed to simulate the on-orbit dynamic changes of the hand-eye relationship.Results show that,under the same computing power conditions,the proposed method requires only 0.75%of the computation time of the Tsai method combined with a sliding window,while achieving comparable calibration accuracy and demonstrating stronger robustness to measurement noise.

关键词

空间机器人/手眼标定/在线标定/遗忘因子递归最小二乘法

Key words

space robotics/hand-eye calibration/online calibration/forgetting factor recursive least squares(FFRLS)

分类

信息技术与安全科学

引用本文复制引用

郑果,徐超凡,李中衡,王少凡,王耀兵..基于FFRLS的空间机械臂手眼关系在轨标定方法[J].南京航空航天大学学报(自然科学版),2026,58(3):589-597,9.

基金项目

国家自然科学基金(U22B2080). (U22B2080)

南京航空航天大学学报(自然科学版)

1005-2615

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