Fault Identification for Turboshaft Engines Based on Fractional-order Sliding Mode Observer

被引：0
|
作者：
He, Xiaocong [1 ]
Xiao, Lingfei [1 ]
Chen, Yusheng [1 ]
Zhu, Yue [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Agr Univ, Coll Engn, Nanjing, Jiangsu, Peoples R China
来源：
2017 EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP) | 2017年
关键词：
turboshaft engine; fault identification; fractional-order sliding mode observer; DIAGNOSIS;
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：
In this paper, a new fault identification scheme is proposed for turboshaft engines, in which a fractional-order sliding mode observer is designed to reconstruct the fault signal. A fractional-order sliding surface is adopted. The reachability of sliding mode and the convergence of fault reconstruction error are proven. Simulation on a turboshaft engine model demonstrate the excellent effect of the proposed fault identification scheme.
引用
收藏
页码：79 / 83
页数：5
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