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Robot dynamic models

  • Krzysztof Kozlowski
Part of the Advances in Industrial Control book series (AIC)

Abstract

This chapter describes dynamic models that are used for the identification of robot parameters. Considerations in this chapter apply to two types of robots: robots with gears (as an example see the description of the industrial robot IRp-6 [12]) and direct drive robots (DDA) without gears [9, 185]. These two classes of robots are the most common in industrial applications. We assume in this monograph that geometrical parameters of the robot are known; by geometrical parameters we mean parameters which are defined on the base of the modified Denavit—Hartenberg notation [10, 113]. Each link of a manipulator is characterised by dynamic parameters: mass, the centre of mass (which multiplied by mass represents a moment of the first order) and six parameters of the inertia tensor (which essentially are elements of a moment of the second order). The simplest way to measure these parameters is obviously to take the robot to pieces and then measure all the details thoroughly [1]. In most cases this is not possible, but when it is, it gives valuable benchmarks for other research. Therefore it is necessary to build a dynamic model for the robot itself. In practice these models are quite complicated and highly nonlinear with respect to joint positions, velocities, and accelerations. However, they are linear with respect to the dynamic parameters, which greatly simplifies the problem of identifying the dynamic parameters of the robot.

Keywords

Integral Model Dynamic Parameter Coordinate Frame Total Potential Energy Total Kinetic Energy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 1998

Authors and Affiliations

  • Krzysztof Kozlowski
    • 1
  1. 1.Faculty of Electrical EngineeringTechnical University of PoznanPoznanPoland

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