传感器故障检测和可靠的单一随机系统的可靠控制与时间变化的延迟
Yunling Shi1, Haosen Yang1, Gang Liu2
1School of Automation, Harbin University of Science and Technology, Harbin 150000, China.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了一种新的故障检测过器,用于复杂的无人系统,具有未知的非线性和时间延迟. 该方法确保了系统稳定性和有效的故障识别,这对于可靠的自动操作至关重要.
科学领域:
- 控制系统工程 控制系统工程
- 检测和诊断故障的检测和诊断.
- 随机系统分析 随机系统分析
背景情况:
- 无人驾驶系统面临着不可避免的传感器和通信故障,特别是在大型和复杂的操作中.
- 现有的故障检测方法与以未知的非线性,奇点状态,时间变化的延迟和马尔科夫跳动力学为特征的系统作斗争.
研究的目的:
- 开发一个强大的故障检测过器,用于未知非线性奇点不确定的变时延迟马尔科夫跳跃系统 (UNSUTVDMJS).
- 为了确保设计的故障检测过器的随机可接受性和H∞性能.
主要方法:
- 滑动模式控制器 (SMC) 的设计,通过修改系统输入来处理未知的非线性.
- 开发一个故障检测过器,以创建一个增强过器残留系统 (UNSSUAFRS) 模型.
- 利用一个弱无限小生成器和Lyapunov-Krasovskii函数来推导随机可接受性的条件.
- 应用利亚普诺夫原理和H∞性能分析,以建立在特定的H∞指数下系统可接受性的足够条件.
主要成果:
- 该研究成功地为UNSSUAFRS模型的随机可接受性得出了足够的条件.
- 设计的故障检测过器通过对直流伺服电机的模拟和数值示例来证明其有效性和实用性.
- 使用H∞性能指数 (γ) 来保证过器的强度.
结论:
- 拟议的故障检测过器对UNSUTVDMJS有效,解决了复杂的系统不确定性和延误.
- 该方法提供了一种可靠的方法,以确保无人系统的安全性和运行完整性.
- 模拟结果验证了故障检测过器在现实场景中的实际应用.
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