Agile Flight Control Using Incremental Nonlinear Dynamic Inversion with Highly Realistic Model of Actuator

Zeliang Wu, Jianchuan Ye*, Tao Song

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aggressive flight is the central prerequisite to expanding the application of quadrotors into complex and agile tasks. However, it will introduce severe model uncertainty and significant interference, which poses significant challenges to flight control. This paper proposes a novel incremental nonlinear dynamic inversion (INDI)- based controller to address the urgent demand for response speed in aggressive flights without compromising the disturbances rejection and uncertainty tolerance ability. First, through mechanistic modeling theory and wind tunnel tests, a high-fidelity nonlinear dynamic representation of quadrotor thrust units was established, which provided a more precise depiction of UAV dynamics, thus markedly reducing the model uncertainty. Second, we theoretically analyzed and demonstrated that introducing a high-fidelity thrust unit model into the INDI algorithm could notably improve the system's dynamic response while maintaining excellent robustness simultaneously, and a control scheme was designed. Finally, we evaluated the performances of the proposed method in simulation and the results clearly showed the superiority of our method in terms of response and convergence speed, trajectory tracking accuracy.

Original languageEnglish
Title of host publication2024 8th International Conference on Robotics, Control and Automation, ICRCA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages278-289
Number of pages12
ISBN (Electronic)9798350344721
DOIs
Publication statusPublished - 2024
Event8th International Conference on Robotics, Control and Automation, ICRCA 2024 - Shanghai, China
Duration: 12 Jan 202414 Jan 2024

Publication series

Name2024 8th International Conference on Robotics, Control and Automation, ICRCA 2024

Conference

Conference8th International Conference on Robotics, Control and Automation, ICRCA 2024
Country/TerritoryChina
CityShanghai
Period12/01/2414/01/24

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