Real-Time Fault Detection Approach for Nonlinear Systems and its Asynchronous T–S Fuzzy Observer-Based Implementation
Real-Time Fault Detection Approach for Nonlinear Systems and its Asynchronous T–S Fuzzy Observer-Based Implementation
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DOI：
10.1109/tcyb.2015.2513438
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发表时间：
2017-02
影响因子：
11.8
通讯作者：
Linlin Li;S. Ding;Jianbin Qiu;Ying Yang
中科院分区：
文献类型：
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作者：
Linlin Li;S. Ding;Jianbin Qiu;Ying Yang
针对一般类型的非线性系统，提出了一种基于观测器的实时故障检测方法。为此，在本文的第一部分，我们讨论了GB∞/GB 2类基于观测器的非线性FD系统的定义和设计条件。该分析框架是借助于一些成熟的技术开发实时非线性FD系统的基础。在第二部分中，我们采用T-S模糊动态建模技术作为求解工具，对GB∞/GB 2观测器的FD系统进行了集成设计。这种基于模糊观测器的FD方法是通过分段Lyapunov函数发展的，适用于FD系统的前提变量与被控对象模糊模型的前提变量不同步的情况。最后给出了一个三容水箱系统实验室设置的实例，验证了所提结果的有效性。
This paper is concerned with a real-time observer-based fault detection (FD) approach for a general type of nonlinear systems in the presence of external disturbances. To this end, in the first part of this paper, we deal with the definition and the design condition for an £∞/£2 type of nonlinear observer-based FD systems. This analytical framework is fundamental for the development of real-time nonlinear FD systems with the aid of some well-established techniques. In the second part, we address the integrated design of the £∞/£2 observer-based FD systems by applying Takagi-Sugeno (T-S) fuzzy dynamic modeling technique as the solution tool. This fuzzy observer-based FD approach is developed via piecewise Lyapunov functions, and can be applied to the case that the premise variables of the FD system is nonsynchronous with the premise variables of the fuzzy model of the plant. In the end, a case study on the laboratory setup of three-tank system is given to show the efficiency of the proposed results.