A Fault Detection Scheme for Time-delay Systems using Minimum-order Functional Observers
Author(s) -
H. M. Tran,
Hieu Trinh
Publication year - 2015
Publication title -
proceedings of the 15th international conference on informatics in control, automation and robotics
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0005506300640071
Subject(s) - residual , actuator , parametric statistics , fault detection and isolation , computer science , control theory (sociology) , scheme (mathematics) , sylvester matrix , fault (geology) , mathematical optimization , algorithm , mathematics , control (management) , artificial intelligence , mathematical analysis , statistics , matrix polynomial , polynomial matrix , seismology , polynomial , geology
This paper presents a method for designing residual generators using minimum-order functional observers to detect actuator and component faults in time-delay systems. Existence conditions of the residual generators and functional observers are first derived, and then based on a parametric approach to the solution of a generalized Sylvester matrix equation, we develop systematic procedures for designing minimum-order functional observers to detect faults in the system. The advantages of having minimum-order observers are obvious from the economical and practical points of view as cost saving and simplicity can be achieved, particularly when dealing with high-order complex systems. Extensive numerical examples are given to illustrate the proposed fault detection scheme. In all the numerical examples, we design minimum-order residual generators and functional observers to detect faults in the system
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