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所属单位：能源与动力学院

发表刊物：2017 EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP)

关键字：turboshaft engine fault identification fractional-order sliding mode observer

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.

是否译文：否

发表时间：2017-01-01

通讯作者：He X, Xiao L, Chen Y, Zhu Y