DocumentCode :
1379002
Title :
A decomposition of the manipulator inertia matrix
Author :
Saha, Subir Kumar
Author_Institution :
Dept. of Mech. Eng., Indian Inst. of Technol., New Delhi, India
Volume :
13
Issue :
2
fYear :
1997
fDate :
4/1/1997 12:00:00 AM
Firstpage :
301
Lastpage :
304
Abstract :
A decomposition of the manipulator inertia matrix is essential, for example, in forward dynamics, where the joint accelerations are solved from the dynamical equations of motion. To do this, unlike a numerical algorithm, an analytical approach is suggested in this paper. The approach is based on the symbolic Gaussian elimination of the inertia matrix that reveal recursive relations among the elements of the resulting matrices. As a result, the decomposition can be done with the complexity of order n, O(n), where n being the degrees of freedom of the manipulator, as opposed to an O(n3) scheme, required in the numerical approach. In turn, O(n) inverse and forward dynamics algorithms can be developed. As an illustration, an O(n) forward dynamics algorithm is presented
Keywords :
computational complexity; manipulator dynamics; matrix algebra; motion control; symbol manipulation; Kalman filtering; articulated body inertia; computational complexity; forward dynamics; inertia matrix; inverse dynamics; joint accelerations; reverse Gaussian elimination; serial manipulator; symbolic decomposition; Automatic control; Books; Capacitive sensors; Friction; Gravity; Manipulator dynamics; Matrix decomposition; Nails; Robotics and automation; Service robots;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.563652
Filename :
563652
Link To Document :
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