基于n-gap指标的MIMO系统的故障诊断和宽容策略
Shufeng Zhang1, Changan Liu2, Yuntao Shi3
1School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China.
ISA transactions
|November 14, 2024
概括
本研究介绍了使用n-gap指标的多输入多输出 (MIMO) 系统的故障诊断和故障耐受性控制策略. 它有效地分类故障并调整控制,确保系统稳定,无需进行复杂的在线计算.
科学领域:
- 控制系统工程 控制系统工程
- 系统识别系统识别系统
- 检测和诊断故障的检测和诊断.
背景情况:
- 多输入多输出 (MIMO) 系统面临复杂的故障诊断 (FD) 和故障耐受性控制 (FTC) 挑战,原因是合动态和乘数不确定性.
- 对等因子的不确定性有效地模拟了MIMO系统中的这些乘法不确定性.
研究的目的:
- 为MIMO系统制定一个集成的FD和FTC战略.
- 为了提高系统管理,利用在 coprime 分因子框架内的 ν-gap 度量.
- 通过避免在线故障耐受控制器解决方案来减少计算负载.
主要方法:
- 使用基于n-gap指标的层次聚类来对线下故障样本进行分类.
- 计算每个故障类别的核心和边界系统,以设计残余补偿控制器.
- 采用在线 ν-gap 度量计算来确定故障严重程度并识别类似的动态核心系统.
主要成果:
- 成功分类故障样本和设计故障特定的残余补偿控制器.
- 实时确定故障严重程度和通过在线n-gap度量分析识别核心系统.
- 通过切换剩余补偿控制器来证明FTC的实现,确保系统的稳定性和稳定性.
结论:
- 提出的基于v-gap指标的策略有效地将故障诊断和故障耐受性控制集成到MIMO系统中.
- 该方法通过消除对在线故障耐受控制器解决方案的需求,显著降低了计算要求.
- 通过对三相电压源逆变器系统的模拟验证证实了该策略的有效性和稳定性.
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