WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 16, 2021
Networked Iterative Learning Fault Diagnosis Algorithm for Systems with Sensor Random Packet Losses, Time-varying Delays, Limited Communication and Actuator Failure : Application to the Hydroturbine Governor System
Authors: , , ,
Abstract: An iterative learning fault diagnosis (ILFD) algorithm for networked control systems (NCSs) subject to
random packet losses, time-varying delays, limited communication and actuator failure is proposed in this paper.
Firstly, in order to evaluate the effect of fault on system between every iteration, the information of state error
and information of fault tracking estimator from the preceding iteration are used to improve the fault estimation
achievement in the actual iteration. The state variable, the Bernoulli process of random packet losses, network
communication delay, limited communication and actuator failure are introduced to establish an extended statespace model of the system. Secondly combining Lyapunov stability theory for linear repetitive processes and
linear matrix inequality (LMI) technique, new sufficient condition for the existence of an iterative learning fault
diagnosis is established. Finally, the feasibility and effectiveness of the proposed design method is illustrated on
a dynamic hydroturbine governing system model based on Matlab/Simulink and TrueTime toolbox.
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Keywords: Iterative learning , fault diagnosis, networked control systems , packet losses, limited
communication, hydroturbine governing system
Pages: 244-252
DOI: 10.37394/23203.2021.16.20