DocumentCode
1227134
Title
Dynamics computation of closed-link robot mechanisms with nonredundant and redundant actuators
Author
Nakamura, Yoshihiko ; Ghodoussi, M.
Author_Institution
Center for Robotic Syst. in Microelectron. & Mech. & Environ. Eng., California Univ., Santa Barbara, CA, USA
Volume
5
Issue
3
fYear
1989
fDate
6/1/1989 12:00:00 AM
Firstpage
294
Lastpage
302
Abstract
The authors discuss a general and systematic computational scheme of the inverse dynamics of closed-link mechanisms. It is derived by using d´Alembert´s principle and obtained without computing the Lagrange Multipliers. To account for the constraints, only the Jacobian matrix of the passive joint angles in terms of actuated ones is required. Given a nonredundant actuator system, this allows a unique representation of the constraints even for complicated multiloop closed-link mechanisms. The inverse dynamics of closed-link mechanisms that contain redundant actuators and their redundancy optimization are also discussed. For a redundant actuation system that contains N r redundant actuators, the passive joint angles are represented by N r+1 independent ways as functions of actuated joints. Using their Jacobian matrices, the actuation redundancy of a closed-link mechanism is parameterized by an N r-dimensional arbitrary vector in a linear equation. Numerical examples are given to show the computational efficiency of inverse dynamics computation and the potential of closed-link manipulators with actuation redundancy
Keywords
dynamics; matrix algebra; redundancy; robots; Jacobian matrix; closed-link robot mechanisms; computational efficiency; d´Alembert´s principle; inverse dynamics; nonredundant actuators; redundancy optimization; redundant actuators; Actuators; Computational efficiency; Equations; Jacobian matrices; Lagrangian functions; Manipulator dynamics; Robotics and automation; Service robots; Torque; Vectors;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/70.34765
Filename
34765
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