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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 missions for aerial photography for terrain feature documentation and surveillance. An aerial photography mechanism for camera gimbal control in conjunction with UAV autopilot system is proposed in this paper. A GPS-to-GPS target tracking is implemented into autopilot flight control system to aim at the assigned fixed point target. In order to properly control dynamic photography, coordinate conversion from airborne gimbal frame into the Earth frame via UAV body frame coordinates should be correctly aligned to the target. To avoid gimbal lock problem, the 3D quaternion-based attitude estimation from GPS and IMU is formulated. The UAV autopilot and target tracking control can be implemented on microcontroller with a reliable and stable performance. A UAV autopilot is designed and implemented mounting with 3D gimbal fixture for realization and flight tests. Flight experiment results show good system performance to accomplish the proposed objective.
机译:无人机(UAV)可以更好,更安全地执行航空摄影任务,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。 GPS到GPS的目标跟踪已实施到自动驾驶飞行控制系统中,以瞄准分配的定点目标。为了正确地控制动态摄影,应通过无人机机体坐标将机载万向架框架转换为地球框架的坐标与目标正确对齐。为避免万向节锁定问题,制定了基于GPS和IMU的基于3D四元数的姿态估计。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。设计和实施了无人机自动驾驶仪,并使用3D万向固定装置进行安装和飞行测试。飞行实验结果表明,该系统具有良好的性能,可以完成拟议的目标。

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