定制无人机具有模型预测控制,用于在农田中自主静态和动态轨迹跟踪.
Veera Venkata Ram Murali Krishna Rao Muvva1, Kunjan Theodore Joseph2, Yogesh Chawla2
1Department of Biological Systems Engineering, School of Computing, University of Nebraska-Lincoln, Lincoln, NE, United States.
Frontiers in robotics and AI
|January 1, 2026
概括
本研究介绍了一种可定制的无人驾驶飞行器 (UAV),用于精密农业. 自主无人机实现了精确的导航和与地面车辆的实时协调,为商业系统提供了灵活的替代方案.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 农业工程 农业工程
- 控制系统 控制系统
背景情况:
- 商业无人机 (UAV) 通常具有专有系统,限制了针对特定应用的定制,例如精密农业.
- 现代农业需要适应性强,经济实惠,高度自主化的空中平台.
研究的目的:
- 推出一个定制的无人机平台,专为精准农业设计.
- 在空中系统中展示先进的自主性,模块化和可负担性.
- 为有限的商业无人机系统提供灵活的替代方案.
主要方法:
- 集成一个Cube Blue飞行控制器和Raspberry Pi 4伴侣计算机.
- 实施模型预测控制 (MPC) 用于轨迹优化和卡尔曼过用于自适应任务规划.
- 在模拟和户外现场环境中进行测试,包括静态/动态路点跟踪和与移动的无人地面车辆 (UGV) 进行协调.
主要成果:
- 实现了精确的自主导航,各种轨迹的平方平均误差在8-20厘米之间.
- 成功地与沿着非线性路径移动的UGV协调.
- 经过证明,能够处理风力扰乱和复杂的飞行路径.
结论:
- 定制的无人机平台提供精确的自主导航和实时协调能力.
- 该系统适用于现实世界的农业应用.
- 模块化和适应性设计为商业无人机解决方案提供了可行的替代方案.
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