基于性能的层次性容错控制,用于具有倍增故障的闭环系统:数据驱动的设计方法
IEEE transactions on cybernetics
|May 22, 2024
概括
本研究介绍了一种数据驱动的故障耐受性控制 (FTC) 策略,用于具有倍数故障的闭环系统. 它通过根据性能指数检测,估计和补偿故障来提高系统可靠性.
科学领域:
- 控制工程 控制工程 控制工程
- 系统可靠性 系统可靠性
- 数据驱动的方法 数据驱动的方法
背景情况:
- 容错控制 (FTC) 对自动化系统至关重要.
- 现有的FTC方法往往忽略了乘法故障和闭环动态.
- 复杂的系统建模对传统的FTC构成重大挑战.
研究的目的:
- 为具有倍数故障的闭环系统制定基于性能的FTC战略.
- 解决现有FTC方法在处理复杂系统和故障类型方面的局限性.
- 为了实现FTC的数据驱动实施,减少对精确系统模型的依赖.
主要方法:
- 一个名义控制器是为无故障系统设计的.
- 性能评估器是用来检测和分类使用稳定性和跟踪指数的倍数故障.
- 对于故障估计,使用coprime因子化和闭环数据.
- 基于性能退化水平的故障补偿开发了一个层次控制器.
主要成果:
- 拟议的FTC战略有效地检测,分类和估计闭环系统中的多重故障.
- 数据驱动的方法绕过了复杂系统建模的需要.
- 案例研究证明了开发的耐故障跟踪控制器的成功验证.
结论:
- 基于绩效的FTC策略为具有倍数故障的闭环系统提供了强大的解决方案.
- 数据驱动的方法提高了FTC在复杂的工业系统中的实用性和适用性.
- 层次控制器确保可靠的系统运行,尽管由故障引起的性能下降.
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