Fault detection design for RUAV with an adaptive threshold neural-network scheme
文献类型:会议论文
作者 | Qi JT(齐俊桐)![]() ![]() ![]() |
出版日期 | 2007 |
会议名称 | IEEE International Conference on Control and Automation |
会议日期 | May 30-June 1, 2007 |
会议地点 | Guangzhou, China |
关键词 | fault detection neural-network adaptive threshold rotorcraft UAV |
页码 | 3045-3050 |
中文摘要 | This paper describes recent research on system design of a small-scaled rotorcraft UAV (RUAV) system and a control scheme for model-scaled helicopter. The small-scaled UAV helicopter is to be designed as a test bed for the implementation of new nonlinear control theories. The full system has been tested successfully in the manual operation and obtained useful data, which is to be analyzed and used in identifying the RUAV model and design advanced control technologies. A control methodology for helicopter autopilot, which is based on nonlinear dynamic equations with a simplified thrust-torque generation model valid for hovering and non-aggressive flights, is presented. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | IEEE |
会议录 | 2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7
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会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISBN号 | 978-1-4244-0817-7 |
WOS记录号 | WOS:000257195302135 |
源URL | [http://ir.sia.cn/handle/173321/8709] ![]() |
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 | Qi JT,Jiang Z,Zhao XG,et al. Fault detection design for RUAV with an adaptive threshold neural-network scheme[C]. 见:IEEE International Conference on Control and Automation. Guangzhou, China. May 30-June 1, 2007. |
入库方式: OAI收割
来源:沈阳自动化研究所
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