Real time fault tolerant control of robot manipulators

  • Authors:
  • A. Noore

  • Affiliations:
  • Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown, WV 26506, U.S.A.

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 2003

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Abstract

The complexity of computing the generalized forces or torques acting at the joints of a robot manipulator with n degrees of freedom directly effects the speed and accuracy of control. For real-time robust control, the large number of mathematical computations performed must satisfy the speed requirements and must also be error-free. In this paper, a combination of parallel and distributed processing techniques are proposed to compute the generalized forces using the Lagrangian formulation. The complexity of computation is reduced from the order @q(n^3) to @q(n). It is shown that with minor modification in the architecture, all single errors that occur during computation can be detected, located, and corrected for robust control.