Autonomous Trajectory Tracking Control Strategy of an Aerial Robot under Large Maneuver

Large maneuver flights of aerial robots are essential in practical missions, allowing them to avoid obstacles and perform tasks efficiently. This paper presents an autonomous trajectory tracking control strategy design of an aerial robot under large maneuver, ensuring the tacking accuracy and demonstrating effectiveness in real-flight tests. First, dynamics modeling and large maneuver trajectory design are presented. Next, the control strategy is developed with an inner-loop attitude controller and L1 control based outer-loop position controller. Finally, simulation experiment quantitively shows the designed strategy’s ability to achieve precise trajectory tracking under large maneuver, and real-flight tests further demonstrates the controller’s effectiveness in practical missions.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/icairc64177.2024.10900061
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Autonomous Trajectory Tracking Control Strategy of an Aerial Robot under Large Maneuver

Jie Zou, Ban Wang, Yifang Fu
Robotic Path Planning Algorithms
article

Autonomous Trajectory Tracking Control Strategy of an Aerial Robot under Large Maneuver

Jie Zou, Ban Wang, Yifang Fu
article en

Abstract

Large maneuver flights of aerial robots are essential in practical missions, allowing them to avoid obstacles and perform tasks efficiently. This paper presents an autonomous trajectory tracking control strategy design of an aerial robot under large maneuver, ensuring the tacking accuracy and demonstrating effectiveness in real-flight tests. First, dynamics modeling and large maneuver trajectory design are presented. Next, the control strategy is developed with an inner-loop attitude controller and L1 control based outer-loop position controller. Finally, simulation experiment quantitively shows the designed strategy’s ability to achieve precise trajectory tracking under large maneuver, and real-flight tests further demonstrates the controller’s effectiveness in practical missions.

Northwestern Polytechnical University (CN)
National Natural Science Foundation of China, Innovation Fund
Openalex Percentile: Top 72%
Robotic Path Planning Algorithms
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