Aerial Robot Control in Close Proximity to Ceiling: A Force Estimation-based Nonlinear MPC

Basaran Bahadir Kocer, Mehmet Efe Tiryaki, Mahardhika Pratama, Tegoeh Tjahjowidodo, Gerald Gim Lee Seet

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    21 Citations (Scopus)

    Abstract

    Being motivated by ceiling inspection applications via unmanned aerial vehicles (UAVs) which require close proximity flight to surfaces, a systematic control approach enabling safe and accurate close proximity flight is proposed in this work. There are two main challenges for close proximity flights: (i) the trust characteristics varies drastically for the different distance from the ceiling which results in a complex nonlinear dynamics; (ii) the system needs to consider physical and environmental constraints to safely fly in close proximity. To address these challenges, a novel framework consisting of a constrained optimization-based force estimation and an optimization-based nonlinear controller is proposed. Experimental results illustrate that the performance of the proposed control approach can stabilize UAV down to 1 cm distance to the ceiling. Furthermore, we report that the UAV consumes up to 12.5% less power when it is operated 1 cm distance to ceiling, which is promising potential for more battery-efficient inspection flights.

    Original languageEnglish
    Title of host publication2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages2813-2819
    Number of pages7
    ISBN (Electronic)9781728140049
    DOIs
    Publication statusPublished - Nov 2019
    Event2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 - Macau, China
    Duration: 3 Nov 20198 Nov 2019

    Publication series

    NameIEEE International Conference on Intelligent Robots and Systems
    ISSN (Print)2153-0858
    ISSN (Electronic)2153-0866

    Conference

    Conference2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019
    Country/TerritoryChina
    CityMacau
    Period3/11/198/11/19

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT The authors wish to thank for conducting the research work with support from the Energy Research Institute @ NTU (ERI@N) and NTU internal grant for the project on Large Vertical Take-Off and Landing (VTOL) Research Platform: Prototype development and demonstration (NTU internal funding).

    Publisher Copyright:
    © 2019 IEEE.

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