中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Aggressive Manuevering of Unmanned Helicopters: Learning from Human Based on Neural Networks

文献类型:会议论文

作者Song DL(宋大雷); Wu C(吴冲); Qi JT(齐俊桐); Han JD(韩建达)
出版日期2012
会议名称2012 12th International Conference on Intelligent Autonomous System
会议日期June 26-29, 2012
会议地点Jeju Island, Korea
关键词neural network unmanned helicopter learning flight test
页码693-703
中文摘要“Teaching by Showing” control of a small helicopter’s aggressive maneuvering often needs inner aided controllers based on helicopter's dynamics, which is very complex to identify. In this paper, a neural network based control is proposed, based on the identification of the relationship between the pilot’s control and flight states, and it is a model-free control method. Flight test is done in simulation environment based on real flight data. The results show the effectiveness of the neural network based controller for aggressive flight control.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Robotics and Automation Society
会议录Advances in Intelligent Systems and Computing
会议录出版者Springer Verlag
会议录出版地Heidelberg, Germany
语种英语
ISSN号2194-5357
WOS记录号WOS:000313842700066
源URL[http://ir.sia.cn/handle/173321/10189]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Song DL,Wu C,Qi JT,et al. Aggressive Manuevering of Unmanned Helicopters: Learning from Human Based on Neural Networks[C]. 见:2012 12th International Conference on Intelligent Autonomous System. Jeju Island, Korea. June 26-29, 2012.

入库方式: OAI收割

来源:沈阳自动化研究所

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