Summary of key technologies of combat intelligent unmanned aerial vehicle

Xin Sui; Zhao Yao; Xun Zhou; Yibo Wang; Kun Yang; Dawei Wang

doi:10.1117/12.2505597

31 August 2018 Summary of key technologies of combat intelligent unmanned aerial vehicle

Xin Sui, Zhao Yao, Xun Zhou, Yibo Wang, Kun Yang, Dawei Wang

Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 108351N (2018) https://doi.org/10.1117/12.2505597
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China

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.

Citation Download Citation

Xin Sui, Zhao Yao, Xun Zhou, Yibo Wang, Kun Yang, and Dawei Wang "Summary of key technologies of combat intelligent unmanned aerial vehicle", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 108351N (31 August 2018); https://doi.org/10.1117/12.2505597

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