L1 Adaptive Augmentation for Geometric Tracking Control of Quadrotors
Not on the map. Why?
Abstract (arXiv)
This paper introduces an L1 adaptive control augmentation for geometric tracking control of quadrotors. In the proposed design, the L1 augmentation handles nonlinear (time- and state-dependent) uncertainties in the quadrotor dynamics without assuming or enforcing parametric structures, while the baseline geometric controller achieves stabilization of the known nonlinear model of the system dynamics. The L1 augmentation applies to both the rotational and the translational dynamics. Experimental results demonstrate that the augmented geometric controller shows consistent and (on average five times) smaller trajectory tracking errors compared with the geometric controller alone when tested for different trajectories and under various types of uncertainties/disturbances.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Sep 2021.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 3; 2023: 0; 2024: 1.
4 papers.
- 2022Online Dynamics Learning for Predictive Control with an Application to Aerial Robotscited by 17
- 2022Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Controlcited by 13
- 2022Neural Moving Horizon Estimation for Robust Flight Controlcited by 5
- 2024Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Windscited by 0
- 2024Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds27 Jan 2024
- 2022Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control23 Oct 2022
- 2022Online Dynamics Learning for Predictive Control with an Application to Aerial Robots19 Jul 2022
- 2022Neural Moving Horizon Estimation for Robust Flight Control21 Jun 2022