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题名: Fault detection design for RUAV with an adaptive threshold neural-network scheme
作者: Qi JT(齐俊桐) ; Jiang Z(姜哲) ; Zhao XG(赵新刚) ; Han JD(韩建达)
作者部门: 机器人学研究室
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
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
出版日期: 2007
页码: 3045-3050
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1-4244-0817-7
关键词: fault detection ; neural-network ; adaptive threshold ; rotorcraft UAV
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.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8709
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
齐俊桐; 姜哲; 赵新刚; 韩建达.Fault detection design for RUAV with an adaptive threshold neural-network scheme.见:IEEE .2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7,NEW YORK,2007,3045-3050
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