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However, traditional flush air data sensing (FADS) systems require complex tubing and fuselage openings. Herein this study, a flexible skin system integrated with a pressure and thermal flow sensor array, and a dual\u2010sensor fusion algorithm for determining the angle of attack (AOA) and airspeed (<jats:italic>V<\/jats:italic>\n<jats:sub>\n<jats:italic>\u221e<\/jats:italic>\n<\/jats:sub>), are proposed. By establishing an error back\u2010propagation neural network, the dual\u2010sensor fusion modality demonstrates higher estimation accuracy than other modalities that utilize only pressure data or only flow velocity data, achieving mean absolute errors of the AOA and <jats:italic>V<\/jats:italic>\n<jats:sub>\n<jats:italic>\u221e<\/jats:italic>\n<\/jats:sub> of less than 0.16\u00b0 and 0.37\u2009ms<jats:sup>\u22121<\/jats:sup>, respectively. Moreover, the simulation and experimental results show that sensors placed closer to the leading edge of the wing can provide higher estimation accuracy of the flight parameters. The flight parameters determined using the flexible air data sensing system and dual\u2010sensor fusion algorithm demonstrate potential application in the flight control of SUASs.<\/jats:p><\/jats:sec>","DOI":"10.1002\/aisy.202100276","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T07:10:34Z","timestamp":1647328234000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Flexible Skin for Flight Parameter Estimation Based on Pressure and Velocity Data Fusion"],"prefix":"10.1002","volume":"4","author":[{"given":"Xin","family":"Na","sequence":"first","affiliation":[{"name":"Institute of Bionic and Micro-Nano Systems School of Mechanical Engineering and Automation Beihang University  Beijing 100191 China"}]},{"given":"Zheng","family":"Gong","sequence":"additional","affiliation":[{"name":"Institute of Bionic and Micro-Nano Systems School of Mechanical Engineering and Automation Beihang University  Beijing 100191 China"}]},{"given":"Zihao","family":"Dong","sequence":"additional","affiliation":[{"name":"Institute of Bionic and Micro-Nano Systems School of Mechanical Engineering and Automation Beihang University  Beijing 100191 China"}]},{"given":"Dawei","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Bionic and Micro-Nano Systems School of Mechanical Engineering and Automation Beihang University  Beijing 100191 China"}]},{"given":"Deyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Bionic and Micro-Nano Systems School of Mechanical Engineering and Automation Beihang University  Beijing 100191 China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1979-996X","authenticated-orcid":false,"given":"Yonggang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Institute of Bionic and Micro-Nano Systems School of Mechanical Engineering and Automation Beihang University  Beijing 100191 China"}]}],"member":"311","published-online":{"date-parts":[[2022,3,15]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/qj.49712656409"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/214549"},{"key":"e_1_2_8_4_1","volume-title":"Flight Evaluation of The X-15 Ball-Nose Flow-Direction Sensor As An Air-Data System","author":"Cary J. 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