Network-based Fault Detection of Servomechanism Systems with Packet Dropouts

In this paper, we address the fault detection problem of the servomechanism systems with stochastic packet dropouts, where a fault detection filter is devised to generate the residual signal to detect the fault. Firstly, a switched system equation is used to model the dynamics of the position servom...

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Bibliographic Details
Published in2020 International Conference on Culture-oriented Science & Technology (ICCST) pp. 181 - 186
Main Authors Chen, Pengcheng, He, Zhitao, Zhang, Hang, Zhang, Dan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2020
Subjects
Automation
Average dwell time
Electrical fault detection
Fault detection
Lyapunov methods
Packet dropouts
Servomechanism systems
Servomechanisms
Switched systems
Switches
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DOI10.1109/ICCST50977.2020.00041

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Summary:In this paper, we address the fault detection problem of the servomechanism systems with stochastic packet dropouts, where a fault detection filter is devised to generate the residual signal to detect the fault. Firstly, a switched system equation is used to model the dynamics of the position servomechanism system, and the fault detection problem subject to packet dropouts is transformed into an exponential H ∞ filtering problem. Then, by applying Lyapunov stability theory and average dwell time approach, several sufficient criteria are proposed to ensure that the filtering error system is exponentially stable in the mean-square sense with a prescribed H ∞ performance level and the filter parameters of the servomechanism system are derived by solving some linear matrix inequalites(LMIs). Finally, a simulation case is presented to affirm the effectiveness of the proposed results.
DOI:10.1109/ICCST50977.2020.00041