1995
DOI: 10.1115/1.2895905
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On First-Order Decoupling of Equations of Motion for Constrained Dynamical Systems

Abstract: In this paper we present a method for obtaining first-order decoupled equations of motion for multirigid body systems. The inherent flexibility in choosing generalized velocity components as a function of generalized coordinates is used to influence the structure of the resulting dynamical equations. Initially, we describe how a congruency transformation can be formed that represents the transformation between generalized velocity components and generalized coordinate derivatives. It is shown that the proper c… Show more

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Cited by 63 publications
(75 citation statements)
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“…From the above derivation arises that Herman (2005b;2006) is an extension of the method Loduha & Ravani (1995) and it is based on the NGVC with M(θ)=Φ T Φ. Hence the two first-order equations (the diagonalized equation of motion and the velocity transformation equation) for rigid manipulator can be rewritten in the form:…”
Section: Equations Of Motionmentioning
confidence: 99%
See 3 more Smart Citations
“…From the above derivation arises that Herman (2005b;2006) is an extension of the method Loduha & Ravani (1995) and it is based on the NGVC with M(θ)=Φ T Φ. Hence the two first-order equations (the diagonalized equation of motion and the velocity transformation equation) for rigid manipulator can be rewritten in the form:…”
Section: Equations Of Motionmentioning
confidence: 99%
“…The first of here considered decomposition methods is based on the generalized velocity components (GVC) Loduha & Ravani (1995). In this method M(θ)=Υ −T NΥ −1 .The equations were proposed by Loduha & Ravani (1995).…”
Section: Equations Of Motionmentioning
confidence: 99%
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“…There are various decomposition methods of the matrix M . In this paper, we refer to the method described in [14] which is based on generalized velocity components introduced in [19] and applied for robotics manipulators in [15]. The decomposition strategy is easy comprehensible and convenient for numerical implementation.…”
Section: Remarkmentioning
confidence: 99%