Premium
Incipient sensor fault estimation and accommodation for inverter devices in electric railway traction systems
Author(s) -
Zhang Kangkang,
Jiang Bin,
Yan XingGang,
Mao Zehui
Publication year - 2017
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2730
Subject(s) - control theory (sociology) , inverter , traction (geology) , observer (physics) , voltage , ellipsoid , fault (geology) , computer science , engineering , electrical engineering , physics , control (management) , mechanical engineering , quantum mechanics , artificial intelligence , astronomy , seismology , geology
Summary This paper proposes an incipient sensor fault estimation and accommodation method for three‐phase PWM inverter devices in electric railway traction systems. First, the dynamics of inverters and incipient voltage sensor faults are modeled. Then, for the augmented system formed by original inverter system and incipient sensor faults, an optimal adaptive unknown input observer is proposed to estimate the inverter voltages, currents and the incipient sensor faults. The designed observer guarantees that the estimation errors converge to the minimal invariant ellipsoid. Moreover, based on the output regulator via internal model principle, the fault accommodation controller is proposed to ensure that the v o d and v o q voltages track the desired reference voltages with the tracking error converging to the minimal invariant ellipsoid. Finally, simulations based on the traction system in CRH2 (China Railway High‐speed) are presented to verify the effectiveness of the proposed method. Copyright © 2016 John Wiley & Sons, Ltd.