Analysis of UAV/UGV control strategies in a DDDAMS-based surveillance system

Amirreza M. Khaleghi, Dong Xu, Sara Minaeian, Yifei Yuan, Jian Liu, Young-Jun Son

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper presents a novel method for selecting efficient and robust control strategies required for collaborative operations of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in performing crowd surveillance missions. In this work, a dynamic data driven adaptive multi-scale simulation (DDDAMS) framework is adopted, where a fast running agent-based simulation is used as the strategy maker. Different control strategies are devised during the planning stage for each of 1) team formation, 2) information aggregation, and 3) motion planning of UAVs and UGVs. The devised strategies are then used in the control stage to determine 1) the assignment of different numbers of UAVs and UGVs as a team, 2) the aggregation of low fidelity data from UAVs with high fidelity data from UGVs, and 3) the balance among different objectives (e.g. minimizing the traveling distance, minimizing a change in altitude/elevation) in choosing vehicles' paths. To test, demonstrate, and validate the performance of the method for selecting control strategies, a testbed containing various hardware and software components has been developed. The preliminary results reveal the efficiency and robustness of the proposed approach in terms of the crowd coverage percentage as the system performance.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2015
PublisherInstitute of Industrial Engineers
Pages2283-2291
Number of pages9
ISBN (Electronic)9780983762447
StatePublished - 2015
EventIIE Annual Conference and Expo 2015 - Nashville, United States
Duration: May 30 2015Jun 2 2015

Other

OtherIIE Annual Conference and Expo 2015
CountryUnited States
CityNashville
Period5/30/156/2/15

Keywords

  • Control strategy
  • Information aggregation
  • Motion planning
  • Team formation
  • UAV
  • UGV

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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