@inproceedings{1cabf69e12294a8ab31200eb1806a02d,
title = "Optimal Acceleration Planning for Quadrotors in Its Formation Rotation",
abstract = "A new optimal desired acceleration planning method is developed for quadrotors in its formation rotation. The virtual structure method has been adopted for the formation, which provides different desired acceleration for every quadrotor in its flight. To hold a stable formation, it is necessary to plan the desired acceleration for every quadrotor within its limits. Therefore, an optimal method is developed to control the attitude and the angular velocity of the virtual structure within input limits during its flight, which ensures the desired acceleration for every quadrotor within limits. The proposed method{\textquoteright}s effectiveness is showcased through a numerical example.",
keywords = "Acceleration planning, Formation rotation, Quadrotor, Virtual structure",
author = "Muran Li and Longze Zhao and Kewei Xia and Jianan Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2248-1_24",
language = "English",
isbn = "9789819622474",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "249--257",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 13",
address = "Germany",
}