Combined time and energy optimal trajectory planning with quadratic drag for mixed discrete-continuous task planning

Ayal Taitler, Ilya Ioslovich, Per Olof Gutman, Erez Karpas

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The problem of mixed discrete-continuous task planning for mechanical systems, such as aerial drones or other autonomous units, can be often treated as a sequence of point-to-point trajectories. In this work, the problem of optimal trajectory planning under a combined completion time and energy criterion, for a straight point to point path for a second-order system with quadratic under state (velocity) and control (acceleration) constraints is considered. The solution is obtained and proved to be optimal using the Pontryagin Maximum Principle. Simulation results for different cases are presented and compared with a customary numerical optimal control solver.

Original languageEnglish
Pages (from-to)125-143
Number of pages19
JournalOptimization
Volume68
Issue number1
DOIs
StatePublished - 2 Jan 2019
Externally publishedYes

Keywords

  • minimum energy
  • minimum time
  • Optimal control
  • Pontryagin Maximum Principle

ASJC Scopus subject areas

  • Control and Optimization
  • Management Science and Operations Research
  • Applied Mathematics

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