DocumentCode :
1400121
Title :
Analysis and implementation of a neuromuscular-like control for robotic compliance
Author :
Wu, Chi-Haur ; Hwang, Kao-Shing ; Chang, Shih-Lang
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
Volume :
5
Issue :
6
fYear :
1997
fDate :
11/1/1997 12:00:00 AM
Firstpage :
586
Lastpage :
597
Abstract :
In comparison with robot manipulators, primate limbs excel robots in facile movements requiring compliance control. Based on this fact, this paper will extend our findings in modeling the muscle-reflex mechanism of primate limbs to robotic control. After some salient properties of the neuromuscular system were identified, a neuromuscular-like model that can accurately emulate different involuntary and voluntary movements was developed. To link the findings from the biological system to robotic control, the developed neuromuscular-like controller was implemented on a PUMA 560 robot. The experimental results demonstrated that the emulated spindle-reflex model in the neuromuscular-like controller acts as an impedance to any changing displacement and will comply and enhance the needed compliant forces or torques for the changing motion. Due to this force-enhancement property, no external force sensor is required for sensing force feedback in this control. The capability in performing various free and constrained movements demonstrated that a neuromuscular-like control is very useful for robotic applications requiring adaptation
Keywords :
biocontrol; biocybernetics; compliance control; control system CAD; force control; manipulators; PUMA 560 robot; biological system; compliance control; compliant forces; facile movements; force sensor; force-enhancement property; muscle-reflex mechanism; neuromuscular-like control; primate limbs; robotic compliance; salient properties; spindle-reflex model; voluntary movements; Biological control systems; Biological system modeling; Biological systems; Control systems; Displacement control; Force control; Manipulators; Neuromuscular; Robot control; Robot sensing systems;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/87.641403
Filename :
641403
Link To Document :
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