一个基于模糊的系统,用于自主无人驾驶飞行器船甲板着陆.
Ioannis Tsitses1, Paraskevi Zacharia1, Elias Xidias2
1Department of Industrial Design and Production Engineering, University of West Attica, 12241 Egaleo, Greece.
Sensors (Basel, Switzerland)
|January 26, 2024
概括
本研究介绍了固定翼无人机 (UAV) 自主登陆船的模糊逻辑系统. 智能系统简化了具有挑战性的海上着陆,提高了运营安全和效率.
科学领域:
- 航空航天工程 航空航天工程
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
背景情况:
- 固定翼无人机的自主船着陆在海上环境中提出了重大挑战.
- 目前的方法需要密集的操作员控制,增加风险和工作量.
研究的目的:
- 开发和评估基于模糊逻辑的无人机舰甲板着陆自主系统.
- 为了简化在不利条件下将无人驾驶飞行器降落在移动船舶上的复杂任务.
主要方法:
- 一个模糊逻辑系统 (FLS) 设计了三个相互连接的子系统:速度,横向运动和高度.
- FLS使用五种输入 (距离,相对风,空速,高度) 和输出无人机速度,斜坡角度和下降角度.
- 使用MATLAB Fuzzy工具箱评估了系统的性能.
主要成果:
- 模糊逻辑着陆模型有效处理多个环境和飞行参数.
- 该系统为速度,斜坡角度和下降角度提供控制输出.
- 模拟演示了在具有挑战性的海上场景中自主着陆的潜力.
结论:
- 开发的模糊逻辑系统为自主无人机船甲板着陆提供了可行的解决方案.
- 这种智能系统可以减少操作员的负担,并在复杂的海上作业中提高着陆安全.
- 进一步的研究可以探索现实世界的实施和适应能力,以适应动态条件.
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