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一个分层的PSMC-LQR控制框架,用于准确的四旋翼轨迹跟踪
Shiliang Chen1, Xinyu Zhu1, Yichao Fang1
1Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, 46 Nanchang Road, Guanghan 618307, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
这项研究引入了四旋翼无人机 (UAV) 的新型层次控制框架. 新方法显著提高了轨迹跟踪的准确性和对干扰的稳定性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 航空航天工程 航空航天工程
背景情况:
- 四旋翼无人机因非线性动力学,不确定性和外部干扰而面临准确轨迹跟踪的挑战.
- 在控制约束下同时实现精确的位置跟踪和稳定的 attitude 调节是很困难的.
研究的目的:
- 为增强四旋翼无人机轨迹跟踪开发一个层次控制框架.
- 提高对模型不确定性和外部干扰的稳定性.
- 确保精确的位置跟踪和稳定的姿态调节.
主要方法:
- 一个分层的控制框架,结合了粒子集群优化 (PSO) 补偿的模型预测控制器 (PSMC) 和增强的线性二次调节器 (LQR).
- 外环PSMC可自适应地减轻预测错误并提高稳定性.
- 带有增强调度和控制率放松的内环LQR加速了态度的融合,并确保了顺的控制.
主要成果:
- 与传统的MPC-LQR基线相比,在平静条件下,拟议的框架在x,y和z方向的平均追踪误差减少了超过13.2%,17.1%和28%.
- 在风力干扰下,该框架在x,y和z方向的平均跟踪误差减少了超过34%,26.2%和46.8%.
- 基于利亚普诺夫的稳定性分析证实了闭环趋同.
结论:
- 层次化的PSMC-LQR框架为四旋翼无人机提供了卓越的轨迹跟踪精度.
- 拟议的方法在应对外部干扰和模型不确定性方面表现出强大的稳定性.
- 该框架对现实世界四旋翼控制应用具有很高的实际可执行性.
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