Fast Path Planning for Fixed-Wing Unmanned Aerial Vehicle with Multiple Constraints

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Fast Path Planning for Fixed-Wing Unmanned Aerial Vehicle with Multiple Constraints

Zhong, Gang / Mao, Yi / Zhang, Liandong / Yang, Shangwen / Liu, Hao

Aiming at the problem of fixed-wing unmanned aerial vehicle (UAV) path planning, considering the actual flight conditions and flight performance of UAV, a multi-constraint UAV path planning model is constructed with the minimum flight range and correction times as the objective function. The improved A* algorithm is used to solve the problem: in order to adapt to the model, the objective function of the model is used as the evaluation function; in order to speed up the search efficiency, the branch and bound method is used for iterative search. The simulation results show that: the model can achieve bi-objective optimization, and it is reasonable. Compared with the traditional A* algorithm, the improved algorithm can better balance the optimization flight range and correction times, and save the algorithm planning time, and effectively complete the fast path planning of fixed-wing UAV with multiple constraints.

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Dokumentinformationen

Titel :

Fast Path Planning for Fixed-Wing Unmanned Aerial Vehicle with Multiple Constraints

Weitere Titelangaben:

Lect. Notes Electrical Eng.

Beteiligte:

Wang, Wuhong (Herausgeber:in) / Wu, Jianping (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Li, Ruimin (Herausgeber:in) / Zhang, Haodong (Herausgeber:in) / Zhong, Gang (Autor:in) / Mao, Yi (Autor:in) / Zhang, Liandong (Autor:in) / Yang, Shangwen (Autor:in) / Liu, Hao (Autor:in)

Kongress:

International Conference on Green Intelligent Transportation System and Safety ; 2021 November 19, 2021 - November 21, 2021

Erschienen in:

Green Transportation and Low Carbon Mobility Safety ; Kapitel : 6 ; 101-113

Lecture Notes in Electrical Engineering ; 944

Erscheinungsdatum :

2022-10-28

Format / Umfang :

13 pages

ISBN :

978-981-19-5615-7 , 978-981-19-5614-0

ISSN :