DocumentCode :
2187775
Title :
Inverse kinematic solutions for parallel robots with singularity robustness
Author :
Hsiao, Lin ; Perng, Ming-Hwei
Author_Institution :
Dept. of Power Mech. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume :
1
fYear :
1997
fDate :
3-6 Aug 1997
Firstpage :
501
Abstract :
Two inverse kinematic solutions with singularity robustness for parallel robot manipulators are proposed in this paper using, respectively, velocity constraint and force constraint. They are unified in a general damped least-squares method with feedback corrections introduced to eliminate positioning error in resolved-rate control (ORRCFC). Both solutions are shown to be stable
Keywords :
feedback; least squares approximations; manipulator kinematics; robust control; damped least-squares method; feedback corrections; force constraint; inverse kinematic solutions; parallel robots; positioning error; resolved-rate control; robot manipulators; singularity robustness; stable solutions; velocity constraint; Cost function; Error correction; Feedback; Jacobian matrices; Kinematics; Manipulators; Mechanical engineering; Parallel robots; Robot sensing systems; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
Type :
conf
DOI :
10.1109/MWSCAS.1997.666183
Filename :
666183
Link To Document :
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