Abstract

Dynamic balance eliminates the fluctuating reaction forces and moments induced by high-speed robots that would otherwise cause undesired base vibrations, noise and accuracy loss. Many balancing procedures, such as the addition of counter-rotating inertia wheels, increase the complexity and motor torques. There exist, however, a small set of closed-loop linkages that can be balanced by a specific design of the links' mass distribution, potentially leading to simpler and cost-effective solutions. Yet, the intricacy of the balance conditions hinder the extension of this set of linkages. Namely, these conditions contain complex closed-form kinematic models to express them in minimal coordinates. This paper presents an alternative approach by satisfying all higher-order derivatives of the balance conditions, thus avoiding finite closed-form kinematic models while providing a full solution for arbitrary linkages. The resulting dynamic balance conditions are linear in the inertia parameters such that a null space operation, either numeric or symbolic, yield the full design space. The concept of inertia transfer provides a graphical interpretation to retain intuition. A novel dynamically balanced 3-RSR spatially moving mechanism is presented together with known examples to illustrate the method.

Highlights

  • Fluctuating reaction forces and moments generated by fast moving robots cause unwanted base vibrations and accuracy loss at the end-effector [1]

  • This paper presented a higher-order dynamic balancing method that yields and solves the necessary and sufficient dynamic balance conditions of open- or closed-chain, planar or spatial linkages in nonsingular configurations

  • In the parameter-linear form these higher-order derivatives furnish the dynamic balance conditions that arise from a rank deficiency of the regression matrix

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Summary

Introduction

Fluctuating reaction forces and moments generated by fast moving robots cause unwanted base vibrations and accuracy loss at the end-effector [1]. The higher-order kinematic and dynamic models are readily available through recursive application of the implicit function theorem [27], avoiding the use of closed-form kinematic models This method leads to the necessary and sufficient dynamic balance conditions, and an automatic and complete characterization of all dynamically balanced designs of any given nonsingular mechanism consisting of lower kinematic pairs. Thereafter the higher-order derivatives of kinematics is outlined (Section 3), followed by a recapitulation of the rigid body dynamics in the screw theory framework (Section 4) This leads to a recursive algorithm that yields the higher-order derivatives of the linear and angular momentum equations (the dynamic balancing conditions) of open and closed-chain linkages (Section 5).

Synopsis of the higher-order dynamic balance method
Kinematics
Higher-order derivatives of kinematics
Rigid body dynamics
Momentum wrench and mass matrix
Momentum wrench basis
Multipole-rod interpretation of the mass matrix
Derivatives of the mass matrix in a open chain
Derivatives of the momentum wrench in a open chain
Derivatives of the dynamic balance conditions of a open-chain linkages
Derivatives of the dynamic balance conditions of closed-chain linkages
Dynamic balance solution using the parameter-linear form
Parameter-linear form
Higher-order dynamic balance conditions in the parameter-linear form
Solving the dynamic balance condition
Partitioning and interpretation of the dynamic balance solution
Partitioning the design space of open-chain linkages
Partitioning the design space of closed-chain linkages
Interpretation of the design space via the concept of inertia transfer
Case studies
Serial 6-DOF robot
Planar four-bar linkage
Kinematics of the 3-RSR mechanism
General dynamic balance solution
Dynamic balance for 2-DOF motion on planes of symmetry
Feasibility conditions
Discussion
10. Conclusion
Full Text
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