Wavelet Filtered Regression as A Novel System Identification Method

摘要：

In this paper, a new method of the system identification to acquire flight characteristic of aircraft is proposed. The goal of this study is to expand the usage of flight characteristic of aircraft acquired by system identification, such as in safety mechanisms of defective aircraft. In order to do so, time-frequency information provided by wavelet transform and special filtering are introduced. This will enhance the robustness against disturbances than conventional methods. To evaluate the proposed method, a small unmanned aerial vehicle (UAV) is utilized. Small UAVs are more easily disturbed by wind gust than general aircraft. The effectiveness of the proposed method is highlighted by the success in acuiring flight characteristic of the small UAV.

关键词： Wavelet Transform System Identification Small UAV Stability Derivatives Time-Frequency Domain

作者: Masaru Naruoka Takuma Hino Takeshi Tsuchiya

作者单位: Department of Aeronautics and Astronautics, The University of Tokyo, Tokyo, Japan JSPS Research Fell Department of Aeronautics and Astronautics, The University of Tokyo, Tokyo, Japan

会议类型: 国际会议

会议名称: 2010 Asia-Pacific International Symposium on Aerospace Technology(2010 亚太航空航天技术研讨会 APISAT 2010)

会议地点: 西安

会议语种:英文

页码: 678-681

在线出版日期: 2010-09-01（万方平台首次上网日期，不代表论文的发表时间）