title: Pose measurement method and experiments for high-speed rolling targets in a wind tunnel.
abstract: High-precision wind tunnel simulation tests play an important role in aircraft design and manufacture. In this study, a high-speed pose vision measurement method is proposed for high-speed and rolling targets in a supersonic wind tunnel. To obtain images with high signal-to-noise ratio and avoid impacts on the aerodynamic shape of the rolling targets, a high-speed image acquisition method based on ultrathin retro-reflection markers is presented. Since markers are small-sized and some of them may be lost when the target is rolling, a novel markers layout with which markers are distributed evenly on the surface is proposed based on a spatial coding method to achieve highly accurate pose information. Additionally, a pose acquisition is carried out according to the mentioned markers layout after removing mismatching points by Case Deletion Diagnostics. Finally, experiments on measuring the pose parameters of high-speed targets in the laboratory and in a supersonic wind tunnel are conducted to verify the feasibility and effectiveness of the proposed method. Experimental results indicate that the position measurement precision is less than 0.16 mm, the pitching and yaw angle precision less than 0.132° and the roll angle precision 0.712°.
authors.affiliation: Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, Dalian University of Technology, Dalian 116024, China. Jzyxy@dlut.edu.cn.
authors.forename: Zhenyuan
authors.initials: Z
authors.lastname: Jia
authors.affiliation: Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, Dalian University of Technology, Dalian 116024, China. maxin2000@mail.dlut.edu.cn.
authors.forename: Xin
authors.initials: X
authors.lastname: Ma
authors.affiliation: Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, Dalian University of Technology, Dalian 116024, China. Lw2007@dlut.edu.cn.
authors.forename: Wei
authors.initials: W
authors.lastname: Liu
authors.affiliation: AVIC Aerodynamics Research Institute, Shenyang 116024, China. F13py@163.com.
authors.forename: Wenbo
authors.initials: W
authors.lastname: Lu
authors.affiliation: Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, Dalian University of Technology, Dalian 116024, China. me_lix@163.com.
authors.forename: Xiao
authors.initials: X
authors.lastname: Li
authors.affiliation: Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, Dalian University of Technology, Dalian 116024, China. 200961803@mail.dlut.edu.cn.
authors.forename: Ling
authors.initials: L
authors.lastname: Chen
authors.affiliation: AVIC Aerodynamics Research Institute, Shenyang 116024, China. wzqnwpu@126.com.
authors.forename: Zhengqu
authors.initials: Z
authors.lastname: Wang
authors.affiliation: AVIC Aerodynamics Research Institute, Shenyang 116024, China. cui_xiaochun@163.com.
authors.forename: Xiaochun
authors.initials: X
authors.lastname: Cui
mesh_terms: D000401:Aircraft; D001185:Artificial Intelligence; D006801:Humans; D059629:Signal-To-Noise Ratio; D014919:Wind