Volume 14, Issue 2 (Journal of Control, V.14, N.2 Summer 2020)                   JoC 2020, 14(2): 27-33 | Back to browse issues page

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Allahverdi F, Ramezani A, Forouzanfar M. Sensor Fault Detection for a class of Uncertain Nonlinear Systems Using Sliding Mode Observers. JoC. 2020; 14 (2) :27-33
URL: http://joc.kntu.ac.ir/article-1-583-en.html
Abstract:   (2276 Views)
This paper deals with the issues of sensor fault detection for a class of Lipschitz uncertain nonlinear system. By definition coordinate transformation matrix for system states and output system, at first the original system divided into two subsystems. The first subsystem includes uncertainties but without any sensor faults and the second subsystem has sensor faults but is free of uncertainties. Then sensor faults in second subsystem are formed as actuator faults. For the aim of fault detection (FD) two sliding mode observers are designed for two subsystems. Stability condition is obtained based on Lyapunov approach. The necessary matrices and parameters to design observers are obtained by solving linear matrix inequality (LMI) problem.  Finally, simulation example is given to illustrate the effectiveness proposed approach.
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Type of Article: Research paper | Subject: Special
Received: 2018/05/26 | Accepted: 2018/11/13 | Published: 2019/08/15

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