防无人机平台的复合控制,用于在干扰下稳定跟踪
1Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing 210039, China.
The Review of scientific instruments
|September 15, 2023
概括
这项研究引入了一种用于无人飞行器 (UAV) 追踪的新型坐标转换,提高了指向精度. 基于歇斯底里的模式切换和复合控制方法提高了跟踪稳定性和干扰排斥.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 航空航天工程 航空航天工程
- 计算机视觉 计算机视觉
背景情况:
- U 形的追踪框架难以确定无人机目标的指向角度.
- 现有的目标定位和跟踪方法经常受到高频动和不良干扰排斥的影响.
研究的目的:
- 开发一种新的坐标转换方法,以准确地获得无人机目标指向角度.
- 设计基于hysteresis的模式切换策略,以便在目标指向和跟踪之间进行无过渡.
- 通过复合控制方法增强跟踪平台的干扰拒绝能力.
主要方法:
- 建立了一个统一的坐标系统,以推断中间链路之间的固定转换关系,简化算法.
- 采用利用歇斯底里间隔的模式切换方法来实现,以确保顺的过渡和减轻动.
- 建议采用综合控制方案,将陀螺仪和圆形格子数据集成在一起,以提高反干扰性能.
主要成果:
- 坐标转换方法的准确性在理论和实验上得到了验证.
- 与传统的值方法相比,基于歇斯底里的切换方法有效地克服了高频动.
- 复合控制方法显著改善了干扰排斥,性能优于现有方法.
结论:
- 提出的方法为准确的无人机目标跟踪提供了强大的解决方案,解决了角度采集,运动平滑性和干扰排斥方面的局限性.
- 综合方法提高了跟踪系统的整体性能和可靠性.
- 实验验证证证实了开发技术的实际有效性和优越性.
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