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Camera Gimbal Control from UAV Autopilot Target Tracking

机译:无人机自动驾驶目标跟踪的相机云台控制

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摘要

Unmanned Aerial Vehicle (UAV) is better and safer to carry missionsrnfor aerial photography for terrain feature documentation and surveillance. Anrnaerial photography mechanism for camera gimbal control in conjunctionrnwith UAV autopilot system is proposed in this paper. A GPS-to-GPS targetrntracking is implemented into autopilot flight control system to aim at thernassigned fixed point target. In order to properly control dynamic photography,rncoordinate conversion from airborne gimbal frame into the Earth frame viarnUAV body frame coordinates should be correctly aligned to the target. Tornavoid gimbal lock problem, the 3D quaternion-based attitude estimation fromrnGPS and IMU is formulated. The UAV autopilot and target tracking controlrncan be implemented on microcontroller with a reliable and stablernperformance. A UAV autopilot is designed and implemented mounting withrn3D gimbal fixture for realization and flight tests. Flight experiment resultsrnshow good system performance to accomplish the proposed objective.
机译:无人机(UAV)更好,更安全地进行航空摄影任务,以进行地形特征记录和监视。结合无人机自动驾驶系统,提出了一种用于相机云台控制的航空摄影机构。在自动驾驶飞行控制系统中实现了GPS到GPS的目标跟踪,以瞄准热定点目标。为了正确控制动态摄影,应通过UAV人体框架坐标将机载万向架框架向地球框架的坐标转换正确对准目标。提出了Tornavoid万向节锁定问题,提出了基于GPS和IMU的基于四元数的3D姿态估计。无人机自动驾驶和目标跟踪控制可以在微控制器上以可靠和稳定的性能实现。设计并实施了无人机自动驾驶仪,并安装了3D万向固定装置,用于实现和飞行测试。飞行实验结果表明,该系统具有良好的系统性能,可以完成拟议的目标。

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