重型无人机的推力向量控制,采用冗余通信系统
Mohammad Sadeq Ale Isaac1,2, Ahmed Refaat Ragab3,4,5, Marco Andrés Luna1,6
1Computer Vision and Aerial Robotics Group, Centre for Automation and Robotics (CAR), Universidad Politécnica de Madrid (UPM-CSIC), 28006 Madrid, Spain.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
这项研究引入了一个新的强大的推力向量控制 (RTVC) 重型无人机 (UAV). RTVC增强了通信传感器集成和系统稳定性,性能与传统控制器相提并论.
科学领域:
- 航空航天工程 航空航天工程
- 控制系统 控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 通信传感器对于无人机系统 (UAS) 的控制至关重要.
- 通过整合多余的传感器和执行器,可以提高系统可靠性.
- 现有的控制方法可能面临挑战在重型无人机与特定的推进系统.
研究的目的:
- 为重型无人机 (UAV) 整合多个传感器和执行器提出一种新的方法.
- 设计和评估强大的推力向量控制 (RTVC) 技术,以提高无人机通信和稳定性.
- 评估RTVC的性能与传统的控制方法相比.
主要方法:
- 为重型无人机集成各种传感器和执行器.
- 开发一个强大的推力向量控制 (RTVC) 算法.
- 对RTVC与级联PID控制器进行比较分析.
主要成果:
- 拟议的RTVC有效地控制通信模块并稳定无人机态度.
- RTVC的性能与级联PID控制器相美,特别是在带有板的多旋转机中.
- RTVC显示了在具有热发动机的无人机中增加自主性的潜力.
结论:
- 强大的推力向量控制 (RTVC) 为无人机控制系统提供了可行的替代方案.
- 在重型无人机中,RTVC方法提高了系统可靠性和性能.
- RTVC特别适用于无人机,其中螺旋不能用作控制面.
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