四旋翼弹性悬架系统的轨迹规划基于DDPG算法.
Zhikun Wang1, Sen Yang1, Tian Xie1
1School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, 300384, China.
ISA transactions
|November 10, 2025
概括
本研究引入了一种使用弹性悬挂系统控制无人机 (UAV) 的新方法. 这种方法减少了负载摆动和路径长度,提高了飞行效率和稳定性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 航空航天工程 航空航天工程
背景情况:
- 当前的研究往往忽视了无人机有效载荷系统中弹性绳的动态.
- 传统的控制算法可以导致低于最佳的性能,包括增加负载摆动和路径长度.
研究的目的:
- 开发和验证四旋翼无人机具有弹性悬挂有效载荷的先进控制策略.
- 通过考虑绳索弹性和优化飞行轨迹来解决现有方法的局限性.
主要方法:
- 建立了弹性悬挂系统的三维动态模型.
- 为深度决定性政策梯度 (DDPG) 算法设计了一个奖励函数.
- 利用长期短期记忆 (LSTM) 网络和优先重复经验进行训练.
主要成果:
- 与传统算法相比,复杂环境中的模拟显示出更高的性能.
- 减少了负载摆动角度和路径长度.
- 实时飞行实验验证实了拟议方法的有效性.
结论:
- 开发的基于DDPG的方法有效地控制了带有弹性悬挂系统的无人机.
- 这种方法在有效载荷稳定性和轨迹效率方面提供了显著的改进.
- 这些发现对先进的空中机器人和物流有影响.
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