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动态模型识别不同飞行状态期间旋翼无人机的动力学和能源消耗
Krzysztof Falkowski1, Michał Duda2
1Avionics Department, Institute of Aviation Technology, Faculty of Mechatronics, Armament and Aerospace, Military University of Technology, 00-908 Warsaw, Poland.
Sensors (Basel, Switzerland)
|December 9, 2023
概括
本研究介绍了一种用于模拟无人驾驶飞行器 (UAV) 动态模型的方法. 这些模型准确地代表了真实世界的飞行状态,没有复杂的数学,有助于可靠的无人机开发.
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:
- 开发精确的动态模型对于可靠的无人机 (UAV) 模拟至关重要.
- 物理无人机模型的原型设计往往是有问题的和昂贵的.
- 模拟是开发无人机系统的关键第一步.
研究的目的:
- 提出一种用于识别各种飞行状态的旋翼无人机动态模型的方法.
- 为了在模拟中准确地表示现实世界UAV行为.
- 为无人机模型识别提供实用方法.
主要方法:
- 与现实无人机进行实验飞行,以收集飞行数据.
- 在Matlab R2022b中使用时间序列分析方法进行模型识别.
- 验证了已识别的动态模型的准确性和有效性.
主要成果:
- 成功确定了旋翼无人机不同飞行状态的动态模型.
- 证明识别的模型可以在模拟中可靠地代表现实世界无人机行为.
- 通过验证和应用证实了所介绍的方法的有效性.
结论:
- 提出的方法提供了一种有效的方式来识别无人机动态模型用于模拟目的.
- 这种方法简化了建模过程,因为不需要对无人机构造或复杂衍生方法的知识.
- 识别的模型对于通过模拟可靠的无人机系统开发至关重要.
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