UAV payload transportation via RTDP based optimized velocity profiles

Abdullah Mohiuddin, Tarek Taha, Yahya Zweiri, Dongming Gan

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

This paper explores the application of a real-time dynamic programming (RTDP) algorithm to transport a payload using a multi-rotor unmanned aerial vehicle (UAV) in order to optimize journey time and energy consumption. The RTDP algorithm is developed by discretizing the journey into distance interval horizons and applying the RTDP sweep to the current horizon to get the optimal velocity decision. RTDP sweep requires the current state of the UAV to generate the next best velocity decision. To the best of the authors knowledge, this is the first time that such real-time optimization algorithm is applied to multi-rotor based transportation. The algorithm was first tested in simulations and then experiments were performed. The results show the effectiveness and applicability of the proposed algorithm.

Original languageBritish English
Article number3049
JournalEnergies
Volume12
Issue number16
DOIs
StatePublished - 8 Aug 2019

Keywords

  • Aerial transportation
  • Dynamic programming
  • Energy optimization
  • UAV

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