基于传感器融合机制的非线性系统类别的自适应输出反容错控制
Chen Sun1, Yan Lin2, Qingrui Meng2
1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.
ISA transactions
|November 30, 2024
概括
本研究介绍了非线性系统的自适应性故障耐受性跟踪控制,使用传感器融合来处理传感器故障和干扰. 拟议的控制方案确保了系统的稳定性,并尽量减少跟踪错误,尽管存在不确定性.
科学领域:
- 控制系统工程 控制系统工程
- 非线性系统分析 非线性系统分析
- 耐故障控制控制的控制方式
背景情况:
- 非线性系统容易受到传感器故障和外部干扰的影响,影响控制性能.
- 传感器冗余对于提高关键应用中的测量可靠性至关重要.
- 现有的容错控制策略经常与复杂的非线性和同时存在的不确定性作斗争.
研究的目的:
- 为非线性系统开发输出反自适应式故障耐受性跟踪控制器.
- 设计一个强大的传感器融合机制,能够处理传感器故障.
- 为了确保系统的稳定性,并在存在非线性,干扰和传感器故障时,尽量减少跟踪错误.
主要方法:
- 一个新的基于历史的加权平均算法用于传感器融合.
- 适应式控制器的设计包括动态增益和状态观察器.
- 将传感器融合输出与自适应控制策略的整合.
主要成果:
- 拟议的方案保证了闭环系统的稳定性.
- 传感器融合机制有效地减轻了故障传感器的影响.
- 追踪错误仅限于一小部分,主要受到融合精度的影响.
结论:
- 开发的适应性故障耐受性跟踪控制方案对非线性系统有效.
- 传感器融合显著提高了系统的稳定性,防止传感器故障.
- 实验验证证证实了拟议的控制策略的有效性.
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