在不确定的非线性系统中,从非隐形攻击中被动隔离传感器故障
Mohamad Ramadan1, Farzaneh Abdollahi2
1Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
ISA transactions
|June 20, 2023
概括
本研究提出了一种新的非线性观察方法,用于区分复杂系统中的传感器故障与攻击. 该方法有效地识别异常行为,而不需要额外的硬件.
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
- 检测和诊断故障的检测和诊断.
背景情况:
- 传感器故障和非隐形攻击在非线性系统中构成重大挑战.
- 现有的方法通常需要冗余的硬件或与不确定性和干扰作斗争.
- 区分传感器故障和复杂的攻击对于系统完整性至关重要.
研究的目的:
- 开发一种基于非线性观察者的新方法,以隔离传感器故障与非隐形攻击.
- 为了提高故障检测对未知的不确定性和干扰的稳定性.
- 为了避免在故障隔离中需要冗余硬件.
主要方法:
- 一个使用多线传输机制和随机数发生器 (RNG) 的专用观察员计划.
- 在非线性坐标中相互连接的非线性Luenberger-Like观察者的设计.
- 实施两个检测观察员银行和一个用于决策的发病率矩阵.
- 适应强度的自适应值技术的应用.
主要成果:
- 在Lipschitz同源非线性系统中成功区分了传感器故障与非隐形攻击.
- 使用适应性值,证明了对模型不确定性和干扰的稳定性.
- 在不需要任何冗余硬件组件的情况下实现故障隔离.
- 验证了在持续动反应堆 (CSTR) 模型上的方法.
结论:
- 提出的基于非线性观察者的方法有效地将传感器故障与非隐形攻击隔离起来.
- 该方法为非线性系统的故障检测和诊断提供了硬件效率高的解决方案.
- 适应值技术在存在系统不确定性的情况下提高了可靠性.
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