@inproceedings{ec3a7ba042bd4fa6aa472f132f487b21,
title = "Tail-MAV: Design and Control of a Perching Micro Aerial Vehicle Inspired by the tail-suspended behavior of primates",
abstract = "To address the challenge of achieving rapid, stable, and passively triggered perching in complex environments without requiring precise alignment, a bioinspired micro air vehicle named Tail-MAV is developed. The system features a bistable mechanism that mimics the tail-hanging behavior of primates, enabling attachment within 100 milliseconds. An adaptive back- stepping controller integrated with a dual-time-scale disturbance observer (AB-DTDO) is then designed to enhance control performance during dynamic flight and perching through real-time disturbance estimation and compensation. Experimental results demonstrate that Tail-MAV achieves reliable perching across diverse substrates and exhibits improved trajectory tracking during agile flight. Compared with the LADRC and PID controllers respectively, the AB-DTDO method reduces the average tracking error by 22.3\% and 47.6\% respectively, significantly improving the control accuracy and robustness.",
keywords = "MAV, adaptive backstepping controller, disturbance observe, dual-time-scale, perching",
author = "Ye Li and Dongyang Li and Yitian Zhang and Liewei Huang and Siqi Wang and Bo Cai",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 7th International Symposium on Robotics and Intelligent Manufacturing Technology, ISRIMT 2025 ; Conference date: 12-12-2025 Through 14-12-2025",
year = "2025",
doi = "10.1109/ISRIMT67769.2025.11413171",
language = "英语",
series = "2025 7th International Symposium on Robotics and Intelligent Manufacturing Technology, ISRIMT 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "372--376",
booktitle = "2025 7th International Symposium on Robotics and Intelligent Manufacturing Technology, ISRIMT 2025",
address = "美国",
}