Time-energy optimal control of articulated systems with geometric path constraints

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Abstract

A method is presented for optimizing the motions of articulated systems along specified paths, minimizing a time-energy cost function. Using a transformation to path variables, the optimization problem is formulated in a reduced two dimensional state space. The necessary conditions for optimality, stated for the reduced problem, lead to a compact two point boundary value problem that requires the iterations of only one boundary condition. The optimal control obtained for this problem is smooth, as opposed to the typically discontinuous time optimal control. The method is demonstrated numerically for a two link planar manipulator, and experimentally for the UCLA Direct Drive Arm. The smoother time-energy optimal trajectory is shown to result in smaller tracking errors than the time optimal trajectory.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
Pages2680-2685
Number of pages6
Editionpt 4
StatePublished - 1994
Externally publishedYes
EventProceedings of the 1994 IEEE International Conference on Robotics and Automation - San Diego, CA, USA
Duration: 8 May 199413 May 1994

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Numberpt 4
ISSN (Print)1050-4729

Conference

ConferenceProceedings of the 1994 IEEE International Conference on Robotics and Automation
CitySan Diego, CA, USA
Period8/05/9413/05/94

Keywords

  • Acceleration
  • Boundary value problems
  • Errors
  • Iterative methods
  • Manipulators
  • Mathematical transformations
  • Motion control
  • Optimization
  • State space methods
  • Tracking (position)
  • Velocity
  • Articulated systems
  • Geometric path constraints
  • Optimal trajectory
  • Optimality
  • Pontryagin's maximum principle
  • Time energy cost function
  • Time energy optimal control
  • Tracking error
  • Two dimensional state space
  • Two link planar manipulator
  • Optimal control systems

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