面向空中—水面協(xié)作的自主起降系統(tǒng)設計及控制
[Abstract]:In recent years, the field mobile robot has made great progress. The autonomous control system of unmanned mobile platform represented by unmanned aerial vehicle, unmanned vessel and unmanned vehicle is becoming more and more mature, and the behavior planning of mobile robot is becoming more and more perfect. The main problem in mobile robot research is the lack of environmental perception. Small UAVs have been widely used in many fields because of their high speed, easy to carry and wide angle of view. But its shortcomings are also very prominent, such as poor endurance, the general multi-rotor UAV can only fly for about 20 minutes, the environmental perception accuracy is low, unable to obtain local accurate environmental information. Because of its heavy load and long duration, unmanned ship can install multiple sensors to obtain accurate local information, but it is difficult to obtain global environmental information because of its low sensor installation position. Therefore, we bring forward the concept of airborne and surface subrobot system, which is expected to combine the wide-area environmental perception and maneuverability of UAV with the local environment fine perception and long-lasting capability of surface robot. Improve the perception and autonomous behavior performance of the whole system in complex environment. Since unmanned aerial vehicles (UAVs) need to take off and land independently on unmanned ships many times, the autonomous take-off and landing system is an indispensable and crucial part in the sub-mother robot system. Only on the basis that autonomous take-off and landing can be successfully completed, can air surface cooperation become possible with subsequent environmental awareness. Aiming at the problems of UAV's autonomous take-off and landing, such as UAV positioning, communication between UAV and UAV, UAV tracking of UAV, autonomous take-off and landing control strategy, a set of solution is designed in this paper. The thesis mainly includes the following four parts: (1) firstly, differential GPS is used to locate the UAV, and the gyroscopes and accelerometers are fused by Kalman filter. Electronic compass and other sensor information to improve UAV positioning accuracy and frequency. This paper introduces the method of attitude calculation using quaternion pair UAV and the PID controller to realize position control. (2) the communication protocol between UAV and UAV is completed, including the control instruction of UAV. The position and attitude information of UAV and unmanned vessel are exchanged. (3) A set of auxiliary mechanism for take-off and landing is designed. The mechanism is composed of two harpoons and is mounted on both sides of the landing gear. It adopts passive anchoring, is simple and reliable, and can be used repeatedly. It can meet the need of UAV to take off and land on unmanned ship many times. (4) the tracking control algorithm of UAV to unmanned ship is designed at the same time, and part of the cooperative function is completed.
【學位授予單位】:沈陽理工大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:V249;TP242
【相似文獻】
相關博士學位論文 前4條
1 劉篤晉;面向植被識別的無人機圖像處理關鍵技術研究[D];成都理工大學;2016年
2 賈樹蔥;智能交通網(wǎng)絡中資源競爭與合作機制研究[D];北京郵電大學;2017年
3 穆悅;戈壁表面多尺度礫石特征參數(shù)估算及其空間分布規(guī)律研究[D];中國林業(yè)科學研究院;2017年
4 袁建清;基于多尺度遙感的寒地水稻稻瘟病信息提取與識別研究[D];東北農(nóng)業(yè)大學;2017年
相關碩士學位論文 前10條
1 張紀敏;面向空中—水面協(xié)作的自主起降系統(tǒng)設計及控制[D];沈陽理工大學;2017年
2 李洪向;基于無人車和無人機協(xié)作的動態(tài)降落研究[D];哈爾濱工業(yè)大學;2017年
3 麥貴林;電力巡線無人機的測向與定位技術研究[D];哈爾濱工業(yè)大學;2017年
4 雷雨默;多旋翼無人機堆狀體航空攝影測量[D];西安科技大學;2017年
5 魏江鵬;小型多功能無人機設計優(yōu)化與控制[D];長安大學;2017年
6 郭倩倩;無人機天線自動跟蹤系統(tǒng)的設計[D];杭州電子科技大學;2017年
7 劉見禮;基于無人機立體影像數(shù)據(jù)的森林結構參數(shù)調(diào)查研究[D];中國科學院大學(中國科學院遙感與數(shù)字地球研究所);2017年
8 王斌;八旋翼電動植保無人機的研制與試驗分析[D];吉林農(nóng)業(yè)大學;2017年
9 溫爾雅;無人機圖像處理關鍵技術的研究與實現(xiàn)[D];電子科技大學;2017年
10 莫德強;基于無人機平臺的道路車輛違章超速行為檢測算法研究[D];哈爾濱工業(yè)大學;2017年
,本文編號:2341966
本文鏈接:http://sikaile.net/kejilunwen/zidonghuakongzhilunwen/2341966.html