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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)
作者部门机器人学研究室
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
会议主办者IEEE Robotics and Automation Society
会议录名称Advances in Intelligent Systems and Computing
出版者Springer Verlag
出版地Heidelberg, Germany
2012
页码693-703
收录类别EI ; CPCI(ISTP)
EI收录号20130515952945
WOS记录号WOS:000313842700066
产权排序1
ISSN号2194-5357
关键词Neural Network Unmanned Helicopter Learning Flight Test
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.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10189
专题机器人学研究室
作者单位State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
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]//IEEE Robotics and Automation Society. Heidelberg, Germany:Springer Verlag,2012:693-703.
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