改进了飞机控制器设计的数据驱动策略
Wang Jianhong1, Ricardo A Ramirez-Mendoza2,3, Julian C Pena-Bermudez3
1School of Electronic Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, 341000, Jiangxi, China. wangjianhong3624@126.com.
Scientific reports
|November 18, 2025
概括
本研究介绍了飞机控制系统的改进数据驱动策略,增强识别,控制和验证. 该方法优化了控制器性能,而不需要明确的飞机建模,确保可靠的飞行系统操作.
科学领域:
- 航空航天工程 航空航天工程
- 控制系统理论 控制系统理论
- 机器学习应用 机器学习应用
背景情况:
- 经典的飞机控制系统通常依赖于精确的模型,这些模型很难获得.
- 现有的方法可能涉及复杂的建模过程,限制了适应性.
- 在动态的航空航天环境中,对强大而适应性的控制策略的需求至关重要.
研究的目的:
- 为飞机控制系统提出一个改进的数据驱动战略.
- 通过数据驱动的识别,控制和验证来加强飞机控制.
- 为飞行系统中的数据驱动策略提供理论框架和实际应用.
主要方法:
- 数据驱动识别用于构建辅助模型,以取代未知的飞机模型.
- 数据驱动的控制使用梯度算法调整参数化的控制器,避免显式建模.
- 数据驱动的验证采用基于相关性的方法来评估控制器的性能.
主要成果:
- 开发一种新的数据驱动战略,整合识别,控制和验证.
- 成功地将战略应用于飞机飞行控制系统.
- 通过理论推导和实践示例来证明控制器的有效性.
结论:
- 拟议的数据驱动策略为飞机控制提供了一种强大而高效的方法.
- 该方法推进了在航空航天领域数据驱动技术的理论和应用.
- 综合战略提高了控制系统的性能和可靠性.
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