DocumentCode :
3587098
Title :
Friction identification and control for Chinese large-scale space end-effector´s dragging subsystem
Author :
Fenglei Ni ; Qian Zhang ; Shipeng Xie ; Hong Liu ; Dangyang Jie
Author_Institution :
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol. (HIT), Harbin, China
fYear :
2014
Firstpage :
2426
Lastpage :
2430
Abstract :
In order to achieve large tolerance capture and high stiffness connection for space payload operations, a Chinese large-scale space end-effector (EER) was developed. Friction is a kind of strong nonlinear factor that severely degrades performance of EER. To predict the friction amplitude and compensate the dynamic error, the friction model based Generalized Maxwell-Slip model (GMS) is built. In order to improve the parameters identification accuracy of friction model, and overcome the error effects of the low speed velocity measurement, the full-order speed observer is designed as feedback speed information. Experiments platform has been built and some dragging experiments on the EER have been done. Results of the experiments show that the precision of the position tracking can reach ±0.02mm by GMS compensation, increased more than 30% compared with Stribeck friction model.
Keywords :
aerospace robotics; elastic constants; end effectors; feedback; friction; observers; velocity measurement; Chinese large-scale space end-effector dragging subsystem control; EER; GMS compensation; dynamic error compensation; feedback speed information; friction amplitude prediction; friction identification; full-order speed observer design; generalized Maxwell-Slip model; low-speed velocity measurement; nonlinear factor; parameter identification accuracy improvement; position tracking; space payload operations; stiffness connection; tolerance capture; Aerospace electronics; Friction; Mathematical model; Observers; Payloads; Robots; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBIO.2014.7090703
Filename :
7090703
Link To Document :
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