Multiplicative Fault Estimation Using Sliding Mode Observer with Application

被引：0
|
作者：
Wu, Chen [1 ]
机构：
[1] Beijing Inst Tracking & Commun Technol, Beijing, Peoples R China
来源：
2015 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS ICCAR 2015 | 2015年
关键词：
state estimation; fault estimation; sliding mode observer; linear matrix inequality (LMI); UNCERTAIN SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Sliding mode observer (SMO) plays an important role in system states or faults estimation, where mostly additive faults are considered. Few papers consider multiplicative faults. The paper proposed an approach for multiplicative fault estimation based on SMO, where linear matrix inequality technique is used to calculate the observer gain. A wind turbine fault detection example shows the design procedure of proposed SMO and its usefulness.
引用
收藏
页码：163 / 167
页数：5
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