DocumentCode :
3180930
Title :
Two numerical issues in simulating constrained dynamics
Author :
Ellis, R.E. ; Ricker, S.L.
Author_Institution :
Dept. of Comput. & Inf. Sci., Queen´´s Univ., Kingston, Ont., Canada
fYear :
1992
fDate :
12-14 May 1992
Firstpage :
312
Abstract :
A common approach to formulating the dynamics of closed-chain mechanisms requires finding the forces of constraint at the loop closures. However, there are indications that this approach leads to ill-conditioned systems that must be inverted and to numerically unstable differential equations of motion. The authors derive a sufficient condition for ill conditioning of augmented dynamical systems, namely, that the mechanism´s trajectory passes through, or very near, a kinematic singularity. In singular regions the equations of motion are also numerically stiff, and frequently require special numerical methods for computer solution. The authors propose a novel method of calculating closed-chain dynamics, based on the systematic elimination of variables that are both redundant and that may adversely affect the computations. This approach produces numerically stable solutions of the differential equations of motion, and the equations are apparently much less stiff than the equations produced by the traditional force-closure approach
Keywords :
control system analysis computing; differential equations; digital simulation; dynamics; kinematics; robots; closed-chain mechanisms; constrained dynamics; digital simulation; ill-conditioned systems; kinematic singularity; motion equation; robotics; sufficient condition; Computational modeling; Differential equations; Kinematics; Lagrangian functions; Manipulator dynamics; Numerical simulation; Robots; Stability; Symmetric matrices; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
Conference_Location :
Nice
Print_ISBN :
0-8186-2720-4
Type :
conf
DOI :
10.1109/ROBOT.1992.220245
Filename :
220245
Link To Document :
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