Aggressive Manuevering of Unmanned Helicopters: Learning from Human Based on Neural Networks

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	Aggressive Manuevering of Unmanned Helicopters: Learning from Human Based on Neural Networks
	Song DL(宋大雷); Wu C(吴冲); Qi JT(齐俊桐); Han JD(韩建达)
	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
内容类型	会议论文
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.