悬挂重力卸载系统具有事件触发的基于ESO的强大的MPC
Huixing Yan1, Hongqian Lu1, Yefeng Yang2
1School of Astronautics, Harbin Institute of Technology, Harbin, China.
ISA transactions
|September 9, 2025
概括
本研究介绍了悬浮重力卸载 (SGO) 系统的自适应控制策略,增强了航天器测试和宇航员培训. 新方法通过解决微低重力模拟中的模型不确定性和干扰来提高控制精度.
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:
- 太空任务需要可靠的微型低重力仿真系统.
- 悬浮重力卸载 (SGO) 系统对于测试航天器和训练宇航员至关重要.
- 由于模型不确定性和外部干扰,现有的SGO系统在控制准确性方面扎.
研究的目的:
- 开发SGO系统的先进控制策略.
- 为了提高微低重力模拟的精度和可靠性.
- 为了克服当前SGO系统控制精度的局限性.
主要方法:
- 提出了一个基于自适应扩展状态观察者 (ESO) 的动态事件触发的强大模型预测控制 (MPC) 策略.
- 利用ESO估计未建模的动态和外部干扰.
- 实现了一个动态事件触发 (ET) 机制,以减少MPC计算负载.
主要成果:
- 适应式ESO有效估计了系统的不确定性和干扰.
- 综合方法为SGO系统提供了改进的预测模型.
- 动态ET机制显著降低了MPC的计算负担.
结论:
- 拟议的控制框架显示出卓越的有效性和性能.
- 通过比较数值模拟和实验结果验证.
- 提供了一个强大的解决方案,用于在太空探索环境中精确的微低重力模拟.
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