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	An effective trajectory planning heuristics for UAV-assisted vessel monitoring system 期刊论文 OAI收割 PEER-TO-PEER NETWORKING AND APPLICATIONS, 2024, 页码: 16 作者: Zhu, Jie; Guo, Kaiyu; He, Pengfei; Huang, Haiping; Malekian, Reza \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/12/06 UAV Heuristic algorithm Lin-Kernighan-Helsgaun Pollution detection Trajectory planning
	UAV Path Planning With Terrain Constraints for Aerial Scanning 期刊论文 OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1189-1203 作者: Yuan, Jinbiao; Liu, Zhenbao; Xiong, Xiaoyu; Ai, Yunfeng; Chen, Long \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2024/07/22 Autonomous aerial vehicles Optimization Task analysis Path planning Turning Kinematics Trajectory UAV DRSN SAC-PSO path planning terrain following
	Trajectory design and resource allocation for UAV energy minimization in a rotary-wing UAV-enabled WPCN 期刊论文 OAI收割 ALEXANDRIA ENGINEERING JOURNAL, 2021, 卷号: 60, 期号: 1, 页码: 10 作者: Wang, Zhen; Wen, Miaowen; Dang, Shuping; Yu, Lisu; Wang, Yuhao \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/12/01 Energy harvest (EH) Wireless powered communi-cation network (WPCN) Unmanned aerial vehicle (UAV) UAV trajectory Non-convex problem Iterative algorithm
	The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 9, 页码: 21 作者: Lei, Guangbin; Li, Ainong; Zhang, Zhengjian; Bian, Jinhu; Hu, Guyue \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2021/07/09 grazing intensity space-air-ground integrated monitoring unmanned aerial vehicle (UAV) trajectory data animal husbandry remote sensing
	The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 9, 页码: 21 作者: Lei, Guangbin; Li, Ainong; Zhang, Zhengjian; Bian, Jinhu; Hu, Guyue \| 收藏 \| 浏览/下载：56/0 \| 提交时间：2020/08/18 grazing intensity space-air-ground integrated monitoring unmanned aerial vehicle (UAV) trajectory data animal husbandry remote sensing
	The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 9, 页码: 21 作者: Lei, Guangbin; Li, Ainong; Zhang, Zhengjian; Bian, Jinhu; Hu, Guyue \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/07/09 grazing intensity space-air-ground integrated monitoring unmanned aerial vehicle (UAV) trajectory data animal husbandry remote sensing
	Trajectory tacking control of a quad-rotor based on active disturbance rejection control (EI CONFERENCE) 会议论文 OAI收割 2012 IEEE International Conference on Automation and Logistics, ICAL 2012, August 15, 2012 - August 17, 2012, Zhengzhou, China Gong X.; Tian Y.; Bai Y.; Zhao C. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 The objective of this paper is to deal with a trajectory tracking of a Quad-rotor unmanned aerial vehicle (UAV). For the model uncertainty the external disturbance and the coupling factor are considered an active disturbance rejection control (ADRC) algorithm is introduced into the designing procedure. The aircraft dynamic model is proposed in this article based on which the closed-loop control system is divided into four independent channels with the coupling factor compensated by the extended state observer (ESO). The nonlinear state error feedback (NLSEF) algorithm is designed in each channel to improve the closed-loop dynamics. In this article the ADRC controller is expressed in the discrete form. And finally the simulation results show that the proposed control algorithm achieves a favourable tracking performance. 2012 IEEE.
	Robust trajectory tracking control of autonomous quad-rotor UAV based on double loop frame (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Materials, Mechatronics and Automation, ICMMA 2011, January 15, 2011 - January 16, 2011, Melbourne, VIC, Australia 作者: Sun Q. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 This paper deals with the under-actuated characteristic of a quad-rotor unmanned aerial vehicle (UAV). By designing the double loop configuration the autonomous trajectory tracking is realized. The model uncertainty external disturbance and the senor noise are also taken into consideration. Then the H controller is put forward in the inner loop. An optimal stability augmentation control (SAC) method is used to stabilize the horizon position and keep it away from oscillation. By calculating the nonlinear decouple map control quantity is converted to the speeds of the four rotors. At last some simulation results and the prototype implementation prove that the control method is effective.