基于EKF視覺組合導(dǎo)航方法的研究
[Abstract]:With the continuous development of navigation technology, the single navigation system can not meet the accuracy and stability of carrier navigation. Integrated navigation has become the mainstream direction of development. GPS / sins integration is one of the most popular navigation methods. It can provide the velocity, attitude and position information of the carrier, but the accuracy of GPS / sins integrated navigation will be disturbed and the stability will be reduced when the carrier is in the area where the GPS signal is interfered (such as streets, tunnels, canyons, etc.). In order to solve the influence caused by the lack of GPS signal, the optical flow visual navigation system is introduced in this paper, the GPS/SINS/ optical flow is integrated, and the related research is carried out. Firstly, the track generator of carrier is designed according to the principle of sins solution and the mathematical model of inertial navigation element. The matlab simulation of strapdown solution is carried out by using the velocity, attitude and position information of carrier provided by the locus generator, and the shortage of pure strapdown inertial navigation is obtained. In order to solve the problem of error divergence of strapdown inertial navigation system, a GPS/SINS combination method is proposed. Considering that the carrier is a micro four-rotor aircraft and the system is a nonlinear system, EKF is used instead of KF for data fusion filtering, and the experimental simulation is carried out. It shows that the GPS/SINS combination is superior to the pure strapdown inertial navigation system. Then, the optical flow visual navigation system is introduced, and the Hom-Schunck method is used to calculate the velocity information of the carrier. In order to improve the fault-tolerant ability of the navigation system, the federated filter integrated structure is selected. Two sub-filters, GPS/SINS and SINS/, are designed to form the integrated navigation system of the GPS/SINS/ optical flow, and the EKF is used to filter the data. The results show that the navigation effect of GPS/SINS/ optical flow combination is better than that of GPS/SINS combination.
【學(xué)位授予單位】:天津工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN967.2
【參考文獻(xiàn)】
相關(guān)期刊論文 前9條
1 楊天雨;賈文峰;賴際舟;鄧一民;;慣性/光流/磁組合導(dǎo)航技術(shù)在四旋翼飛行器中的應(yīng)用[J];傳感器與微系統(tǒng);2016年01期
2 趙海;陳星池;王家亮;曾若凡;;基于四軸飛行器的單目視覺避障算法[J];光學(xué)精密工程;2014年08期
3 沈?qū)?唐大全;李飛;;無人機(jī)視覺導(dǎo)航中的圖像處理及位姿解算[J];光電技術(shù)應(yīng)用;2012年06期
4 劉小明;陳萬春;邢曉嵐;殷興良;;光流/慣導(dǎo)多傳感器信息融合方法[J];北京航空航天大學(xué)學(xué)報;2012年05期
5 李建;李小民;錢克昌;;無人機(jī)GPS/SINS/Vision組合導(dǎo)航技術(shù)[J];中國慣性技術(shù)學(xué)報;2011年04期
6 邵瑋;祝小平;趙剛;;基于視覺/GPS/MEMS-INS數(shù)據(jù)融合的MUAV導(dǎo)航方案[J];系統(tǒng)仿真技術(shù);2011年01期
7 王小剛;郭繼峰;崔乃剛;;INS/Vision相對導(dǎo)航系統(tǒng)在無人機(jī)上的應(yīng)用[J];哈爾濱工業(yè)大學(xué)學(xué)報;2010年07期
8 李耀軍;潘泉;趙春暉;于盈;李軍偉;;基于INS/SMNS緊耦合的無人機(jī)導(dǎo)航[J];中國慣性技術(shù)學(xué)報;2010年03期
9 黃顯林;姜肖楠;盧鴻謙;李明明;;自主視覺導(dǎo)航方法綜述[J];吉林大學(xué)學(xué)報(信息科學(xué)版);2010年02期
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