Quadrotor fault-tolerant incremental nonsingular terminal sliding mode control

Quadrotor fault-tolerant incremental nonsingular terminal sliding mode control

Wang, Xuerui (TU Delft Control & Simulation)
van Kampen, E. (TU Delft Control & Simulation)
Chu, Q. P. (TU Delft Control & Simulation)

2019

This paper proposes incremental nonsingular terminal sliding mode control for a class of multi-input and multi-output nonlinear systems considering model uncertainties, external disturbances, and sudden actuator faults. This method is free from singularity because it does not involve any negative fractional power. The convergence time in both reaching and sliding phases are proved to be finite. Moreover, by fully exploiting sensor measurements, the proposed incremental control method simultaneously reduces model dependency and the uncertainty remaining in the closed-loop system. The reduction of model dependency simplifies the implementation process and reduces the computational load, while the reduction of uncertainty decreases the minimum possible sliding mode control gains, which is beneficial to chattering reduction. These merits are verified by a quadrotor trajectory tracking problem. Simulation results demonstrate that the proposed method has better robustness against model uncertainties, gusts, and actuator faults than the model-based nonsingular terminal sliding mode control in the literature.

Disturbance rejection
Fault-tolerant control
Nonsingular terminal sliding mode control
Quadrotor trajectory control
Sensor-based incremental control

http://resolver.tudelft.nl/uuid:f639b961-938a-4e4d-8569-0311d0e0f0aa

https://doi.org/10.1016/j.ast.2019.105514

2022-01-05

1270-9638

Aerospace Science and Technology, 95

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2019 Xuerui Wang, E. van Kampen, Q. P. Chu