Reduced-order observer-based robust fault estimation for a class of uncertain nonlinear systems

被引：0
|
作者：
Peng, Yu [1 ]
Xiang, Gang [1 ,2 ]
机构：
[1] Beijing Aerosp Automat Control Inst, Beijing, Peoples R China
[2] Beijing Univ Aeronaut & Astronaut, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
来源：
2018 EIGHTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2018) | 2018年
关键词：
nonlinear continuous-time systems; reduced-order fault estimation observer; TOLERANT CONTROL-SYSTEMS; CONTROLLER-DESIGN; ACCOMMODATION;
D O I：
10.1109/IMCCC.2018.00269
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study focuses on a challenging issue of reduced-order observer-based fault estimation for a class of nonlinear continuous-time systems with both unknown inputs and model uncertainties. By introducing a nonsingular coordinate transformation, a new nonlinear reduced-order fault estimation observer (RFEO) is proposed, which not only expands the application range of existing fault estimation observers, but also to achieve the accurate estimation of both states and faults. Simulation results of an aircraft application are presented to validate the effectiveness of the proposed methods.
引用
收藏
页码：1297 / 1302
页数：6
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