Learning-Based Distortion Compensation for a Hybrid Simulator of Space Docking-Reference-Cited by-同舟云学术

Learning-Based Distortion Compensation for a Hybrid Simulator of Space Docking

Published:2023-06 Issue:6 Volume:8 Page:3446-3453
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Qi Chenkun¹^ORCID,Li Dongjin¹,Hu Yan¹^ORCID,Zheng Yi²^ORCID,Wang Weijun¹^ORCID,Shou Xing³,Gao Feng¹^ORCID

Affiliation:

1. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, Shanghai, China

3. Institute of Aerospace System Engineering Shanghai, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10102643/10101827.pdf?arnumber=10101827

Reference21 articles.

1. A Force Compensation Approach Toward Divergence of Hardware-in-the-Loop Contact Simulation System for Damped Elastic Contact

2. Compensation of Velocity Divergence Caused by Dynamic Response for Hardware-in-the-Loop Docking Simulator

3. Delay Time Compensation for a Hybrid Simulator

4. Force and Moment Compensation Method Based on Three Degree-of-Freedom Stiffness-Damping Identification for Manipulator Docking Hardware-In-The-Loop Simulation System

5. Smith predictor compensation and fuzzy incremental control for delay of space docking hardware-in-the-loop simulation system

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1. A Force- and Position-Based Distortion Compensation Method for a Hardware-in-the-Loop Simulator of Space Docking;Journal of Aerospace Engineering;2024-05

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3. Stiffness Design of Active Capture Claw-Type Docking Mechanism for Lunar Sample Return;Aerospace;2023-09-10

4. A Self-Attention Integrated Learning Model for Landing Gear Performance Prediction;Sensors;2023-07-07