Receding Horizon-based Fault-tolerant Control of QuadPlus: An Over-actuated Quadrotor

Mohit Mehndiratta, Karanjot Singh, Erdal Kayacan, Mir Feroskhan

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

    2 Citations (Scopus)

    Abstract

    Highly maneuverable, over-actuated aerial robots have gained increasing interest in various inspection applications. However, since these systems carry expensive equipment and must operate in the vicinity of humans, their fail-safe operation is paramount. Hence, we propose a centralized nonlinear model predictive control (NMPC) method to facilitate fault-tolerant control (FTC) of an over-actuated quadrotor against a propeller failure. Thanks to the novel mechanical design, the hyperdynamic quadrotor can independently command and control all 6-degrees-of-freedom (DoFs). Additionally, the underlying reconfigurability of the designed NMPC makes it appropriate for both nominal and faulty operations. Moreover, the centralized nature of the control framework fully exploits the actuator redundancy, thereby ensuring complete system control without losing any DoF. The efficacy of the proposed FTC framework is elaborated via intensive simulations utilizing a realistic model over two different trajectories. From the considered sequential failure cases, it is shown that - even with fault detection delay up to 1s - the aerial robot satisfactorily tracks the reference trajectory.

    Original languageEnglish
    Title of host publication2021 IEEE 17th International Conference on Automation Science and Engineering, CASE 2021
    Number of pages7
    PublisherIEEE
    Publication dateAug 2021
    Pages853-859
    ISBN (Electronic)9781665418737
    DOIs
    Publication statusPublished - Aug 2021
    Event17th IEEE International Conference on Automation Science and Engineering, CASE 2021 - Lyon, France
    Duration: 23 Aug 202127 Aug 2021

    Conference

    Conference17th IEEE International Conference on Automation Science and Engineering, CASE 2021
    Country/TerritoryFrance
    CityLyon
    Period23/08/202127/08/2021
    SeriesIEEE International Conference on Automation Science and Engineering
    Volume2021-August
    ISSN2161-8070

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