Development and Testing of a Reliability Performance Index for Modular Robotic Systems

Abstract

Using a probabilistic representation of manipulator kinematics and a reliability block diagram model of the manipulator system, a Reliability Performance Index (RPI) representing the probability of no hardware or software failure and the manipulator achieving a specified position and orientation is developed. The RPI is tested with a case study consisting of a three degree-of- freedom planar manipulator assembled from a choice of six joint modules of varying reliability and precision and a choice of six link module combinations of varying lengths and machining tolerances. A straight-line, square trajectory is specified and the RPI is calculated for each combination of joint modules and links, a total of 1296 different combinations. Using statistical testing, a 70% reduction in the module design space is achieved using the RPI. Optimization using other appropriate manipulator criteria can then be performed to generate the final configuration. Additional extensive case studies are needed to fully develop the RPI to a stage necessary for implementation into a computer-aided design system for modular robot configuration design. The RPI may also be useful in the quantification of the overall system reliability and performance of any system based upon measured error, such as control systems.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1993
Accession Number
ADA271901

Entities

People

  • Dean L. Schneider
  • Delbert Tesar
  • J. W. Barnes

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Case Studies
  • Classification
  • Computers
  • Control
  • Control Systems
  • Engineering
  • Engineers
  • Errors
  • Kinematics
  • Mechanical Engineering
  • Optimization
  • Precision
  • Probability
  • Probability Distributions
  • Random Variables

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Space
  • Space - Spacecraft Maneuvers