多个无人机的分散的三角相对定位基于相对范围和惯性测量
Meysam Alizad1, Hadi Nobahari1
1Department of Aerospace Engineering, Sharif University of Technology, Iran.
ISA transactions
|May 4, 2024
概括
本研究引入了一种新的算法,用于使用范围和惯性数据对多个无人机 (UAV) 的合作相对定位. 该方法通过形成三角形构造来提高准确度,以便更精确地估计位置和方向.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 航空航天工程 航空航天工程
- 控制系统 控制系统
背景情况:
- 准确的相对定位对于多无人机系统至关重要.
- 现有的方法通常在计算复杂性和对通信损失的稳定性方面面临局限性.
研究的目的:
- 提出一种新的,强大的算法,用于多个无人机的合作相对定位.
- 为了提高准确性和减少在相对定位中可观测性的限制性条件.
主要方法:
- 为三角形无人机阵列开发相对运动估计模型.
- 使用相对范围和惯性测量进行位置和方向估计.
- 对模型可观测性的分析和必要条件的推导.
主要成果:
- 拟议的算法通过利用三角形构造来证明准确的相对定位.
- 导出的可观测性条件比以前的方法更少限制.
- 与分散的基于共识的卡尔曼过器的性能比较显示了对噪音,干扰和断开的稳定性.
结论:
- 新的合作相对定位算法为多无人机系统提供了更高的准确性和稳定性.
- 该方法提供了一种更灵活,更不严格的方法,在相对本地化的可观测性.
- 该算法的有效性通过在具有挑战性的条件下进行模拟和比较来验证.
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