中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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); Jiang Z(姜哲); Zhao XG(赵新刚); Han JD(韩建达)
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
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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