微分器
控制理论(社会学)
执行机构
观察员(物理)
状态向量
国家观察员
稳健性(进化)
断层(地质)
故障检测与隔离
计算机科学
控制工程
工程类
人工智能
控制(管理)
非线性系统
基因
物理
地质学
地震学
计算机网络
经典力学
化学
带宽(计算)
量子力学
生物化学
作者
Ming Liu,Lixiang Zhang,Wei Xing Zheng
出处
期刊:Automatica
[Elsevier]
日期:2017-11-01
卷期号:85: 339-348
被引量:50
标识
DOI:10.1016/j.automatica.2017.07.071
摘要
This paper investigates the state estimation and fault reconstruction problems for continuous-time Markovian jump systems, where unknown additive sensor and actuator faults, and actuator degradation are considered simultaneously. First, an augmented descriptor system is proposed where the extended vector is composed of state vector, additive sensor fault and actuator fault vectors. Then, an adaptive sliding mode observer is presented where a switching term is injected to eliminate the effect of actuator degradation. The developed robust observer can achieve estimation of state, additive sensor and actuator fault vectors simultaneously. Based on the observer technique, two methods, namely equivalent output error injection method and non-homogeneous differentiator method, are employed to reconstruct the actuator degradation. Finally, a practical example with an F-404 aircraft engine system is exploited to illustrate the effectiveness of the proposed observer approaches, and make comparisons on these two fault reconstruction schemes.
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