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)![]() ![]() ![]() ![]() |
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
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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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