Estimation of Airflow Parameters for Tail-Sitter UAV through a 5-Hole Probe Based on an ANN.

Li, Xiaoda; Wu, Yongliang; Shan, Xiaowen; Zhang, Haofan; Chen, Yang

Li, Xiaoda; Wu, Yongliang; Shan, Xiaowen; Zhang, Haofan; Chen, Yang.

Afiliación

Li X; Department of Mechanics and Aerospace Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Wu Y; School of Aeronautics and Astronautics, Xihua University, Chengdu 610039, China.
Shan X; Department of Mechanics and Aerospace Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Zhang H; College of Innovation and Entrepreneurship, Southern University of Science and Technology, Shenzhen 518055, China.
Chen Y; School of Physics and Mechatronics Engineering, Longyan University, Longyan 364012, China.

Sensors (Basel) ; 23(1)2022 Dec 30.

Article en En | MEDLINE | ID: mdl-36617021

Palabras clave

5-hole probe; estimation of airflow parameters; large angle of attack; neural network; tail-sitter VTOL

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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