Tracking Control with Uncertainty Smoothing Estimation under Aggressive Maneuvers of Aerial Vehicles

Aggressive maneuvering is crucial for aerial vehicles to execute adversarial and penetration missions. However, this challenges the accurate tracking control of drones due to uncertainties induced by high-speed flight. Therefore, firstly, a highly dynamic tracking control framework is proposed to actualize the accurate tracking of aggressive trajectories with velocities up to 15 m/s (i.e., 54 km/h) and acceleration of 2 g. Secondly, in order to mitigate the impact of conjoint effects on uncertainty estimation during aggressive flights and to ensure that uncertainty is smoothly compensated, a novel adaptive nonlinear extended state observer (ANESO) with noise suppression and peak attenuation capabilities is designed. Finally, extensive comparative simulation and real-world practical experimental results certify the superiority of the proposed control strategy in tracking aggressive trajectories.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/iros58592.2024.10802393
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Tracking Control with Uncertainty Smoothing Estimation under Aggressive Maneuvers of Aerial Vehicles

Senqi Tan, Jianchuan Ye, Tao Jiang, Hao Zhang et al.
Adaptive Control of Nonlinear Systems
article

Tracking Control with Uncertainty Smoothing Estimation under Aggressive Maneuvers of Aerial Vehicles

Senqi Tan, Jianchuan Ye, Tao Jiang, Hao Zhang, Zhi Zheng
article en

Abstract

Aggressive maneuvering is crucial for aerial vehicles to execute adversarial and penetration missions. However, this challenges the accurate tracking control of drones due to uncertainties induced by high-speed flight. Therefore, firstly, a highly dynamic tracking control framework is proposed to actualize the accurate tracking of aggressive trajectories with velocities up to 15 m/s (i.e., 54 km/h) and acceleration of 2 g. Secondly, in order to mitigate the impact of conjoint effects on uncertainty estimation during aggressive flights and to ensure that uncertainty is smoothly compensated, a novel adaptive nonlinear extended state observer (ANESO) with noise suppression and peak attenuation capabilities is designed. Finally, extensive comparative simulation and real-world practical experimental results certify the superiority of the proposed control strategy in tracking aggressive trajectories.

Chongqing University (CN), Beijing Academy of Artificial Intelligence (CN), Tsinghua University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Research and Innovation Foundation
Climate action
Openalex Percentile: Top 71%
Adaptive Control of Nonlinear Systems
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Tracking Control with Uncertainty Smoothing Estimation under Aggressive Maneuvers of Aerial Vehicles — Senqi Tan, Jianchuan Ye, et al. · (2024) | TGRS Research Map | TGRS