中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Wind Disturbance Rejection for Unmanned Aerial Vehicle Based on Acceleration Feedback Method

文献类型:会议论文

作者Gu F(谷丰)2; Xu WL(徐卫良)3; Dai B(代波)2,4; He YQ(何玉庆)1,2; Zhang GY(张广玉)2,4; Yang LY(杨丽英)2
出版日期2018
会议日期December 17-19, 2018
会议地点Miami Beach, FL, USA
页码4680-4686
英文摘要Wind disturbance has always been a critical issue for safety fiight of unmanned aerial vehicle (UAV) and increases the challenges for UAV system control. To this end, this paper presents an acceleration feedback (AF) method for UAV to enhance its ability of wind disturbance rejection. Compared with conventional AF control where only angular AF is used for precise attitude control, we further consider linear AF for precise position control. The proposed method was designed and implemented on a hex-rotor where a model free controller, cascaded PID, is used. In order to make it easy and fast to implement AF method on such model free system, a novel, effective and simple method for parameters identification of multi-rotor is proposed. The comparison results of trajectory tracking between PID and AF enhanced PID controller under continuous and gusty wind verify that the proposed method is not only robust but effective for both types of wind disturbances.
产权排序1
会议录2018 IEEE Conference on Decision and Control (CDC)
会议录出版者IEEE
会议录出版地New York
语种英语
ISSN号0743-1546
ISBN号978-1-5386-1395-5
WOS记录号WOS:000458114804053
源URL[http://ir.sia.cn/handle/173321/23865]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Dai B(代波)
作者单位1.Shenyang Institute of Automation (Guangzhou), Chinese Academy of Sciences, Guangdong 511458, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Department of Mechanical Engineering, the University of Auckland, Auckland 1010, New Zealand
4.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Gu F,Xu WL,Dai B,et al. Wind Disturbance Rejection for Unmanned Aerial Vehicle Based on Acceleration Feedback Method[C]. 见:. Miami Beach, FL, USA. December 17-19, 2018.

入库方式: OAI收割

来源:沈阳自动化研究所

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