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Design, Modeling and Control for a Tilt-rotor VTOL UAV in the Presence of Actuator Failure

Authors :
Mousaei, Mohammadreza
Geng, Junyi
Keipour, Azarakhsh
Bai, Dongwei
Scherer, Sebastian
Source :
Proceedings of 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4310-4317
Publication Year :
2022

Abstract

Enabling vertical take-off and landing while providing the ability to fly long ranges opens the door to a wide range of new real-world aircraft applications while improving many existing tasks. Tiltrotor vertical take-off and landing (VTOL) unmanned aerial vehicles (UAVs) are a better choice than fixed-wing and multirotor aircraft for such applications. Prior works on these aircraft have addressed aerodynamic performance, design, modeling, and control. However, a less explored area is the study of their potential fault tolerance due to their inherent redundancy, which allows them to tolerate some degree of actuation failure. This paper introduces tolerance to several types of actuator failures in a tiltrotor VTOL aircraft. We discuss the design and modeling of a custom tiltrotor VTOL UAV, which is a combination of a fixed-wing aircraft and a quadrotor with tilting rotors, where the four propellers can be rotated individually. Then, we analyze the feasible wrench space the vehicle can generate and design the dynamic control allocation so that the system can adapt to actuator failures, benefiting from the configuration redundancy. The proposed approach is lightweight and is implemented as an extension to an already-existing flight control stack. Extensive experiments validate that the system can maintain the controlled flight under different actuator failures. To the best of our knowledge, this work is the first study of the tiltrotor VTOL's fault-tolerance that exploits the configuration redundancy. The source code and simulation can be accessed at https://theairlab.org/vtol.<br />Comment: 8 pages

Details

Database :
arXiv
Journal :
Proceedings of 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4310-4317
Publication Type :
Report
Accession number :
edsarx.2205.05533
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/IROS47612.2022.9981806