使用非线性名义系统的滑动模式观察器进行强大的故障重建.
Pedro Gasga1, Daniel Quintana2, Samuel Goḿez-Peñate1
1Dept. of Electronics Engineering at Tecnológico Nacional de México, Tuxtla Gutiérrez, TURIX-Dynamics Diagnosis and Control Group, Carr. Panamericana km 1080, 29050, Tuxtla Gutiérrez, Mexico.
ISA transactions
|October 18, 2023
概括
这项研究引入了一种新的非线性滑动模式观察器,用于可靠的断层重建,克服了以前方法的局限性. 该方法使用凸式表达式和线性矩阵不等式来改进复杂系统中的故障诊断.
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
背景情况:
- 滑动模式观察器对于动态系统中的故障重建至关重要.
- 现有的方法经常面临诸如等级限制和线性输出要求等局限性.
研究的目的:
- 为非线性系统开发一种新的滑动模式观察器.
- 构建一个强大的断层重建方案,解决先前方法的局限性.
主要方法:
- 设计了一个非线性滑动模式观察器,放松了传统的约束.
- 非线性以凸表达式表示.
- 设计条件是使用线性矩阵不等式 (LMI) 来得出的.
主要成果:
- 拟议的观察者成功地重建了非线性系统中的故障.
- 新方案克服了等级限制,线性输出和保守边界的限制.
- 通过比较实例证明了强度和有效性.
结论:
- 开发的滑动模式观察器和故障重建方案为非线性系统提供了显著的进步.
- 该方法为故障诊断提供了更普遍和更强大的方法.
- 使用LMI简化了实际实施的设计条件.
相关概念视频
Linear Approximation in Frequency Domain
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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