@inproceedings{c115c04185374467b7ff5ad06125bffe,
title = "Optimal Prediction Control Allocation Algorithm for Tiltrotor Aircraft",
abstract = "This paper proposes a control framework using optimal prediction control allocation method (PM) and active disturbance rejection controller. First, the PM algorithm is adopted to extend the Attainable Moment Set compared with Pseudo-Inverse method (PI). By compensating the solution with null space vector, the saturation problem is solved while outputting the desired moments. Second, active disturbance rejection controller is adopted to observe and compensate the complex disturbance during the transition of tiltrotor aircraft. Numerical simulations demonstrate that PM can output optimal control allocation solution to generate larger moments under the same desired moments input compared with PI. The 6-DOF flight simulation shows that the overall control frame has better performance.",
keywords = "Control allocation, Optimal prediction, Tiltrotor aircraft",
author = "Yingxun Wang and Tang Xuyang and Cai Zhihao and Jiang Zhao",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7\_98",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1183--1193",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
address = "德国",
}