An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping Mechanism

The space target capturing task using the spacecraft-manipulator system (SMS) has special significance in on-orbit servicing due to its theoretical challenges and practical value. The contact force between the end effector (gripper) and the target exerted by the tumbling motion of the space target d...

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Main Authors: Rui Chang, Qingxuan Jia, Ming Chu, Xiaodong Zhang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/9/11/726
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author Rui Chang
Qingxuan Jia
Ming Chu
Xiaodong Zhang
author_facet Rui Chang
Qingxuan Jia
Ming Chu
Xiaodong Zhang
author_sort Rui Chang
collection DOAJ
description The space target capturing task using the spacecraft-manipulator system (SMS) has special significance in on-orbit servicing due to its theoretical challenges and practical value. The contact force between the end effector (gripper) and the target exerted by the tumbling motion of the space target destabilizes the spacecraft base. A full-dimensional controllable damping mechanism (FDCDM) with a cross-axis structure was designed to buffer the transient impact force on the end joint. The introduction of a damping mechanism gives the space robot a variable stiffness and damping system, and a stiffness estimation algorithm is proposed to calibrate the system stiffness, as stiffness cannot be measured directly. The full-dimensional controllable damping mechanism (FDCDM) with a cross-axis structure is equivalent to a four-DOF tandem joint, and the whole-body dynamic model of the SMS endowed with a full-dimensional controllable damping mechanism (FDCDM) was established using the Kane equation. Then, an unknown input observer (UIO)-based identification theory is proposed to precisely estimate the internal flexibility torque and the corresponding joint stiffness. A model-based neural learning algorithm is proposed to update the variable parameter matrix of the observer. The simulation experiment results demonstrate that the flexibility torque and joint stiffness could be accurately estimated within the expected error, illustrating the feasibility and effectiveness of the proposed method.
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spelling doaj.art-c364e231178f42f4941be1ba9ba27a602023-11-24T07:24:36ZengMDPI AGAerospace2226-43102022-11-0191172610.3390/aerospace9110726An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping MechanismRui Chang0Qingxuan Jia1Ming Chu2Xiaodong Zhang3School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSchool of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaBeijing Key Laboratory of Intelligent Space Robotic Systems Technology and Application, Beijing Institute of Spacecraft System Engineering, Beijing 100876, ChinaThe space target capturing task using the spacecraft-manipulator system (SMS) has special significance in on-orbit servicing due to its theoretical challenges and practical value. The contact force between the end effector (gripper) and the target exerted by the tumbling motion of the space target destabilizes the spacecraft base. A full-dimensional controllable damping mechanism (FDCDM) with a cross-axis structure was designed to buffer the transient impact force on the end joint. The introduction of a damping mechanism gives the space robot a variable stiffness and damping system, and a stiffness estimation algorithm is proposed to calibrate the system stiffness, as stiffness cannot be measured directly. The full-dimensional controllable damping mechanism (FDCDM) with a cross-axis structure is equivalent to a four-DOF tandem joint, and the whole-body dynamic model of the SMS endowed with a full-dimensional controllable damping mechanism (FDCDM) was established using the Kane equation. Then, an unknown input observer (UIO)-based identification theory is proposed to precisely estimate the internal flexibility torque and the corresponding joint stiffness. A model-based neural learning algorithm is proposed to update the variable parameter matrix of the observer. The simulation experiment results demonstrate that the flexibility torque and joint stiffness could be accurately estimated within the expected error, illustrating the feasibility and effectiveness of the proposed method.https://www.mdpi.com/2226-4310/9/11/726compliant capturestiffness estimationdamping optimizationflexible jointimpact buffer
spellingShingle Rui Chang
Qingxuan Jia
Ming Chu
Xiaodong Zhang
An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping Mechanism
Aerospace
compliant capture
stiffness estimation
damping optimization
flexible joint
impact buffer
title An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping Mechanism
title_full An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping Mechanism
title_fullStr An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping Mechanism
title_full_unstemmed An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping Mechanism
title_short An Observer-Based Stiffness Estimation for Space Target Capture by Space Robot with Controllable Damping Mechanism
title_sort observer based stiffness estimation for space target capture by space robot with controllable damping mechanism
topic compliant capture
stiffness estimation
damping optimization
flexible joint
impact buffer
url https://www.mdpi.com/2226-4310/9/11/726
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