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Summary of key technologies of combat intelligent unmanned aerial vehicle
Author(s): Xin Sui; Zhao Yao; Xun Zhou; Yibo Wang; Kun Yang; Dawei Wang
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Paper Abstract

In the first place, this paper has introduced the types of domestic and international main current combat intelligent unmanned aerial vehicle. Secondly, the main system composition and function of unmanned aerial vehicle is presented. Additionally, the key technologies of unmanned aerial vehicle are discussed respectively, including autonomous control technology, path planning technology, navigation and positioning technology. Moreover, the related algorithms of unmanned aerial vehicle are summarized, including the PID control algorithm and fuzzy controller for flight control, the Kalman filter algorithm based on the analysis of gyroscope, accelerometer and magnetometer for improving the accuracy of attitude information, group intelligent optimization algorithm, the bionic intelligent optimization algorithm and the Neural network intelligent algorithm based on machine learning for unmanned aerial vehicle route planning,. Finally, the research areas are proposed to address development tendency and challenges of combat intelligent unmanned aerial vehicle.

Paper Details

Date Published: 31 August 2018
PDF: 7 pages
Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 108351N (31 August 2018); doi: 10.1117/12.2505597
Show Author Affiliations
Xin Sui, Changchun Engineering Technology College (China)
Zhao Yao, Changchun Engineering Technology College (China)
Xun Zhou, Changchun Engineering Technology College (China)
Yibo Wang, Changchun Engineering Technology College (China)
Kun Yang, Changchun Engineering Technology College (China)
Dawei Wang, Changchun Engineering Technology College (China)

Published in SPIE Proceedings Vol. 10835:
Global Intelligence Industry Conference (GIIC 2018)
Yueguang Lv, Editor(s)

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