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西安电子科技大学 空间科学与技术学院,陕西 西安,710118
收稿日期:2017-06-01,
修回日期:2017-06-22,
纸质出版日期:2017-11-25
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张桢浩, 孙伟, 赵春宇. 多传感器融合的无人机动态自主着陆系统[J]. 光学精密工程, 2017,25(10s): 151-159
ZHANG Zhen-hao, SUN Wei, ZHAO Chun-yu. Multi-sensor fusion UAV dynamic landing system[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 151-159
张桢浩, 孙伟, 赵春宇. 多传感器融合的无人机动态自主着陆系统[J]. 光学精密工程, 2017,25(10s): 151-159 DOI: 10.3788/OPE.20172513.0151.
ZHANG Zhen-hao, SUN Wei, ZHAO Chun-yu. Multi-sensor fusion UAV dynamic landing system[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 151-159 DOI: 10.3788/OPE.20172513.0151.
为了实现无人机在无GPS信号下的引导和高精度动态自主着陆,提出了一种多传感器融合的无人机动态自主着陆系统。首先该系统使用超宽带(Ultra Wideband,UWB)设备对无人机三维定位,利用定位信息将其引导至着陆标签附近;接着利用视觉处理算法快速精确解算出无人机和着陆标签的相对三维信息;然后分析了着陆标签的动态匀速模型后,利用卡尔曼滤波预估和矫正水平方向上的视觉信息,提升着陆精度,最后基于位置控制的PID控制器利用滤波后的相对三维信息,实现无人机的高精度动态自主着陆控制。实验结果表明:无人机能被准确引导至着陆标签附近,着陆精度在5 cm之内。基本解决了无人机在无GPS信号下的引导问题,满足动态自主着陆的高精度要求。
In order to achieve the UAV without GPS guidance and high-precision dynamic landing
a dynamic and autonomous landing system for UAVs with multi-sensor fusion was established.UWB (Ultra Wideband) equipment was used to achieve three-dimensional positioning of UAVs
the landing near the labelwas guided by using position information. Then the visual processing algorithm was designed to quickly and accurately calculate the relative three-dimensional information of the UAV and landing label. Then
after analyzing the dynamic uniform model of the landing tag
Kalman filter was designed to estimate and correct the visual information in the horizontal direction and improve the landing accuracy. Finally
the filtered three-dimensional informations were utilized by the PID controller based on position control to realize the high-precision dynamic autonomous landing control of UAV.The experimental results show that the unmanned aerial machine can be guided to near the landing label and the landing accuracy within 5 cm.UAV in the absence of GPS signal guidance problem is resolved basically
the requirements of high precision dynamic and automatic landing is met.
SARRIS Z. Survey of UAV applications in civilmarkets[C]. IEEE Mediterranean Conference onControl and Automation, 2012:283-288.
李劲澎, 姜挺, 肖达, 等. 基于关系图的无人机影像三维重建[J]. 光学精密工程,2016, 24(6):1501-1509. LI J P, JIANG T, XIAO D, et al.. On diagram-based three-dimensional reconstruction of UAV image[J].Opt. Precision Eng.,2016, 24(6):1501-1509.(in Chinese)
徐东甫, 白越,宫勋, 等. 多旋翼无人机在变控制量下的三轴磁罗盘校正[J]. 光学精密工程,2016, 24(8):1940-1947. XU D F, BAI Y, GONG X, et al.. Correction of 3-axis magnetic compass in multi-rotor UAV under variable control amounts[J]. Opt. Precision Eng.,2016, 24(8):1940-1947.(in Chinese)
VOOS H, BOU-AMMAR H. Nonlinear trackingand landing controller for quadrotor aerialrobots[C].2010 IEEE International Conferenceon Control Applications, 2010, 58(8):2136-2141.
GHOMMAM J, SAAD M. Autonomous Landing of a Quadrotor on a Moving Platform[J]. IEEE Transactions on Aerospace &Electronic Systems, 2017:PP (99):1-1.
WANG C, LI W, CHEN W, et al.. Autonomous landing control of quadrotor UAVs[C]. IEEE International Conference on Cyber Technology in Automation, 2015:276-280.
GAUTAM A, SUJIT P B, SARIPALLI S. A survey of autonomous landing techniques for uavs[C]. 2015 IEEEInternational Conference on Unmanned Aircraft System. 2015:1210-1218.
JIN S,ZHANG J, SHEN L, et al..On-board vision autonomous landing techniques for quadrotor:A survey[C]. Chinese Control Conference, 2016:10284-10289.
邓平,李莉,范平志. 一种TDOA/AOA混合定位算法及其性能分析[J]. 电波科学学报,2002,17(6):633-636. DENG P, LIU L, FAN P Z. A hybrid TDOA/AOA location algorithm andits performance analysis[J]. The Chinese Journal of Radio Science, 2002,17(6):633-636.(in Chinese)
张保峰,刘同佩,韩燕. 基于TOA的三维空间定位算法研究[J]. 计算机工程与设计,2007,14:3364-3366. ZHANG B F,LIU T P, HAN Y. 3-Dimension location algorithm research based on TOA[J]. Computer Engineering and Design, 2007,14:3364-3366. (in Chinese)
Olson E.AprilTag:A robust and flexible visual fiducial system[C].2011 IEEE International Conference on Robotics and Automation, ICRA 2011. 2011:3400-3407.
WELCH G, BISHOP G. An Introduction to the Kalman Filter[J]. University of North Carolina at Chapel Hill,1995, 8(7):127-132.
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