NDLI: Fault diagnosis and adaptive reconfiguration control for actuator loop in aeronautic propulsion system

Content Provider	IEEE Xplore Digital Library
Author	Kailong Cai Wuwen Yao Ping Zou
Copyright Year	2010
Description	Author affiliation: The First Aeronautic Institute of the Air Force, Xinyang 464000, China (Kailong Cai; Wuwen Yao; Ping Zou)
Abstract	A method of fault diagnosis and adaptive reconfiguration control based on dynamical recurrent neural network was presented for actuator loop in aeronautic propulsion system. Network weighted values were modified on-line to compensate for zero-deflection and uncertainty of actuator loop. The threshold-value differentiate method was applied for real-timely watching and diagnosing the actuator loop fault. After that, adaptive reconfiguration control was realized with the output of dynamical recurrent neural network model substituting for fault sensor output to closed loop. Through digital simulation research for the actuator fault mode, the results show that the method put forward can exactly diagnose the fault of actuator loop in time and effectively realize adaptive reconfiguration control.
Starting Page	5546
Ending Page	5551
File Size	792210
Page Count	6
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554263
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Actuators Adaptive systems Recurrent neural networks Fault diagnosis Propulsion Adaptation model Digital simulation Adaptive reconfiguration control Aeronautic propulsion system Dynamical recurrent neural network Actuator loop Fault Diagnosis
Content Type	Text
Resource Type	Article

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