TY - GEN
T1 - Modeling and Control of PADUAV
T2 - 2024 IEEE International Conference on Robotics and Automation, ICRA 2024
AU - Sun, Jiali
AU - Wang, Kaidi
AU - Shi, Chuanbeibei
AU - Li, Xiujia
AU - Yi, Xiaojian
AU - Yu, Yushu
AU - Sun, Fuchun
AU - Dong, Yiqun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In this paper, we introduce PADUAV, a novel 5-DOF aerial platform designed to overcome the limitations of traditional tiltrotor vehicles. PADUAV features a unique mechanical design that incorporates two off-the-shelf quadrotors passively articulated to a rigid frame. This innovation enables free pitch rotation without mechanical constraints like cable winding, significantly enhancing its capabilities for various tasks. To control PADUAV's 5 degrees of freedom, we propose a versatile and straightforward 5-DOF geometric tracking control strategy that generates 2D force and 3D torque. A decomposition approach is designed to distribute the output to the torque and thrust commands for each subplane, with no need for complex optimization. We validate our approach through three simulation experiments conducted in the Gazebo environment, leveraging the utilities provided by the RotorS simulator. These experiments not only demonstrate the feasibility of our platform but also provide new perspectives for future aerial platform development, particularly in terms of simulation-based approaches.
AB - In this paper, we introduce PADUAV, a novel 5-DOF aerial platform designed to overcome the limitations of traditional tiltrotor vehicles. PADUAV features a unique mechanical design that incorporates two off-the-shelf quadrotors passively articulated to a rigid frame. This innovation enables free pitch rotation without mechanical constraints like cable winding, significantly enhancing its capabilities for various tasks. To control PADUAV's 5 degrees of freedom, we propose a versatile and straightforward 5-DOF geometric tracking control strategy that generates 2D force and 3D torque. A decomposition approach is designed to distribute the output to the torque and thrust commands for each subplane, with no need for complex optimization. We validate our approach through three simulation experiments conducted in the Gazebo environment, leveraging the utilities provided by the RotorS simulator. These experiments not only demonstrate the feasibility of our platform but also provide new perspectives for future aerial platform development, particularly in terms of simulation-based approaches.
UR - http://www.scopus.com/inward/record.url?scp=85202438448&partnerID=8YFLogxK
U2 - 10.1109/ICRA57147.2024.10610094
DO - 10.1109/ICRA57147.2024.10610094
M3 - Conference contribution
AN - SCOPUS:85202438448
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 6159
EP - 6165
BT - 2024 IEEE International Conference on Robotics and Automation, ICRA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 May 2024 through 17 May 2024
ER -