skip to main content
10.1145/3501409.3501663acmotherconferencesArticle/Chapter ViewAbstractPublication PageseitceConference Proceedingsconference-collections
research-article

A Low-Latency Control Path Design for Cloud Based Micro-Drones

Authors Info & Claims
Published:31 December 2021Publication History

ABSTRACT

Dynamic real-time control through a remote network is becoming a reality, given the drive of the latest generation of wireless networks. As cloud computing takes on an even stronger role in the industry, the desire to offload time critical processes into the network becomes a possibility. With the combination of cloud edge processing centers, and the UUL standardization for sub-millisecond delay over 5G networks, applications requiring dynamic time critical closed loop control is now an option. With the support of cloud edge processors, advanced complex analysis and processing algorithms, such deep learning engines or video-based approaches, miniature drones can achieve higher levels of capability without the weight or cost requirements. In this paper, we present wireless closed loop control system. The proposed framework is composed of a controller, drone flight receiver and motor control. The delay time from the issuance of the control command to the start of the execution of the control command is only about 4 ms. The proposed solution has been implemented and verified on the research UAV data link system.

References

  1. WU S B, WEN Y P, ZHANG J D. The Study of UAV M&C Link's Ultra Low Delay [J]. Measurement &Control Technology.2020, 39(11):52--56.Google ScholarGoogle Scholar
  2. ZHANG Ju, ZHU Xiao ping, Zhuo zhou. The Design of Delay Control System in UAV Based on Model Predictive Algorithm[J]. Journal of Projectiles, Missiles and Guidance, 2010, 30(04):48--50.Google ScholarGoogle Scholar
  3. TANG Bi-wei, DING Yong-fei, LIU Guo-liang, LI Jia. Analysis and Measurement of Time Delay on Unmanned Aerial Vehicle Ground Control Simulation System[A]. Measurement and Control Technology Editorial Department. Proceedings of 2015 Aeronautical Test and Test Technology Academic Exchange Conference[C].: Chinese.Google ScholarGoogle Scholar
  4. HUO Jing-wen. Research on abstract architecture design of UAV measurement and control link based on function hierarchy[J]. Electronic Design Engineering, 2020, 28(15):57--60.Google ScholarGoogle Scholar
  5. YANG Hongsheng, HUANG Huayuan. A General UAV TT&C System and Its Key Technology[J]. Telecommunication Engineering, 2018, 58(04):391--396.Google ScholarGoogle Scholar

Index Terms

  1. A Low-Latency Control Path Design for Cloud Based Micro-Drones

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering
      October 2021
      1723 pages
      ISBN:9781450384322
      DOI:10.1145/3501409

      Copyright © 2021 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 31 December 2021

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      EITCE '21 Paper Acceptance Rate294of531submissions,55%Overall Acceptance Rate508of972submissions,52%
    • Article Metrics

      • Downloads (Last 12 months)5
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader