Choosing Sampling Rates for Robot Control.

Abstract

In previous research, the author experimentally implemented and evaluated the effect of dynamics compensation in model-based control algorithms. In this paper, he evaluates the effect of changing the control sampling period on the performance of the computed-torque and independent joint control schemes. While the former utilizes the complete dynamics model of the manipulator, the latter assumes a decoupled and linear model of the manipulator dynamics. The author discusses the design of controller gains for both the computed-torque and the independent joint control schemes and establishes a framework for comparing their trajectory tracking performance. The experiments show that within each scheme the trajectory tracking accuracy varies slightly with the change of the sampling rate. However, at low sampling rates the computed-torque scheme outperforms the independent joint control scheme. Based on experimental results, also conclusively established is the importance of high sampling rates as they result in an increased stiffness of the system.

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1987
Accession Number
ADA179447

Entities

People

  • Pradeep K. Khosla

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Compensation
  • Control
  • Control Systems
  • Dynamics
  • Manipulators
  • Sampling
  • Stiffness
  • Trajectories

Readers

  • Regression Analysis.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy