对于具有量子化信号的非线性随机分布控制系统的最小合理容错误控制
Lifan Li1, Lina Yao1, Yaoqiang Wang1
1School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
ISA transactions
|July 18, 2025
概括
本研究介绍了量子化非线性随机分布控制 (SDC) 系统的容错控制 (FTC) 策略. 该方法有效地诊断和补偿执行器和传感器故障,确保系统稳定性.
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
- 故障诊断和耐受性控制
背景情况:
- 量子化非线性随机分布控制 (SDC) 系统面临着执行器和传感器故障的挑战.
- 现有的故障诊断 (FD) 和故障耐受性控制 (FTC) 方法可能会与量子化效应和同时故障估计作斗争.
研究的目的:
- 为量子化非线性随机分布控制 (SDC) 系统开发一个强大的容错控制 (FTC) 策略.
- 解决执行器和传感器故障的同时估计和补偿.
- 确保系统稳定性和性能,尽管发生故障和量子化.
主要方法:
- 使用两步模糊建模方法创建静态和动态系统模型.
- 一个自适应的增强观察器被设计用于同时估计故障,并考虑量子化.
- 一个全面的FTC战略集成了一个虚拟传感器补偿器与一个最小合理 (MRE) 控制器.
主要成果:
- 适应性增强观察器在量子化下成功估计了执行器和传感器故障.
- 拟议的FTC战略有效地弥补了故障,并保持了系统稳定性.
- 该方法在分子重量分布系统中证明了实际的有效性.
结论:
- 开发的FTC策略为具有同时故障的量子化非线性SDC系统提供了强大的解决方案.
- 模糊建模,自适应观察员和MRE控制的整合为故障补偿提供了一个强大的框架.
- 经过验证的应用程序强调了这种方法在现实世界工程系统中的潜力.
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