中国科学院机构知识库网格
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Identification of landing sites for rescue helicopters in mountains with use of Geographic Information Systems 期刊论文  OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 2, 页码: 261-270
作者:  
Kroh, Pawel
  |  收藏  |  浏览/下载:24/0  |  提交时间:2020/11/11
Optimal Output Regulation for Model-Free Quanser Helicopter With Multistep Q-Learning 期刊论文  OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 6, 页码: 4953-4961
作者:  
Luo, Biao;  Wu, Huai-Ning;  Huang, Tingwen
  |  收藏  |  浏览/下载:45/0  |  提交时间:2018/10/10
Active Model-Based Predictive Control and Experimental Investigation on Unmanned Helicopters in Full Flight Envelope 期刊论文  OAI收割
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 卷号: 21, 期号: 4, 页码: 1502-1509
作者:  
Song DL(宋大雷);  Han JD(韩建达);  Liu GJ(刘光军)
收藏  |  浏览/下载:20/0  |  提交时间:2013/10/05
Modelling a small-size unmanned helicopter using optimal estimation in the frequency domain 期刊论文  OAI收割
Intelligent Systems Technologies and Applications, 2010, 卷号: 8, 期号: 1-4, 页码: 70-85
作者:  
Song DL(宋大雷);  Qi JT(齐俊桐);  Dai L(戴磊);  Han JD(韩建达);  Liu GJ(刘光军)
收藏  |  浏览/下载:16/0  |  提交时间:2012/05/29
模型直升机自动驾驶系统地面站设计与自动升降控制 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2009
胡勇强
收藏  |  浏览/下载:50/0  |  提交时间:2015/09/02
小型无人直升机的模型辨识和系统构成 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2008
作者:  
周超
收藏  |  浏览/下载:63/0  |  提交时间:2015/09/02
Modeling a Small-size Unmanned Helicopter Using Optimal Estimation in The Frequency Domain 会议论文  OAI收割
15th International Conference on Mechatronics and Machine Vision in Practice, Auckland, NEW ZEALAND, December 2-4, 2008
作者:  
Song DL(宋大雷);  Qi JT(齐俊桐);  Dai L(戴磊);  Han JD(韩建达);  Liu GJ(刘光军)
收藏  |  浏览/下载:38/0  |  提交时间:2012/06/06
Enhanced LQR control for unmanned helicopter in hover 会议论文  OAI收割
1st International Symposium on Systems and Control in Aerospace and Astronautics, Harbin, China, January 19-21, 2006
作者:  
Jiang Z(姜哲);  Han JD(韩建达);  Wang YC(王越超);  Song Q(宋崎)
收藏  |  浏览/下载:27/0  |  提交时间:2012/06/06
Real time adaptability is of central importance for the control of Unmanned Helicopter flying under different circumstances. In this paper  an active model is employed to handle the time varying uncertainties involved in the helicopter dynamics during flight. In the scheme  a normal LQR control designed from a simplified model at hovering is enhanced by means of Unscented-Kalman-Filter (UKF) based estimation  which tries to online capture the error between the simplified model and the full dynamics. This is intended to achieve adaptive performance without the need of adjusting the controller modes or parameters along with the changing dynamics of helicopter. Simulations with respect to a model helicopter are conducted to verify both the UKF-based estimation and the enhanced LQR control. Results are also demonstrated with the normal LQR control with the active model enhancement.