Development of the vision-based augmentation for automatic landing system of an unmanned aerial vehicle (UAV)

• Main Authors: Wu,Zong-Chun, 吳宗錞
• Other Authors: Chen,Chii-Chuan
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/5rge4m

碩士 === 逢甲大學 === 航太與系統工程學系 === 107 === The main purpose of this paper is to build a vision-based augmentation automatic landing system for any type of unmanned aerial vehicle (UAV). It is capable of capturing images and picking up the target by hue-based color filtering algorithm integrated into the onboard camera while the UAV is at final approach segment. The UAV is not on the centerline of the runway or glide slope if the target is not at the center of the image. The pitching and heading correction angles of the UAV will be calculated immediately based on the positioning offset from the center of the image. NI myRIO will send the control signals to the control surfaces of UAV and trim its attitude to land. Finally, the system will let this vehicle flare and touch down safely. To determine the feasibility of this system, features such as: the selection of various components of subsystems, the color choices of the target, the concept of the control law for landing, the construction of the ground monitoring station, the final integration with the ground simulation scenarios of the approach segment, the reactions of control surfaces on UAV, etc. will be included in this thesis.