The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied for Mini Motion Package Electro-Hydraulic Actuator

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Abstract

In this paper presents a sliding mode observer (SMO) method to detect and isolate the actuator faults for a linear system. A proposed SMO method for the stability of the system has been derived and explained based on the Lyapunov’s stability condition and linear matrix inequality (LMI) optimization algorithm. The constraint conditions of the switch gain for the proposed SMO to obtain the error dynamic system is asymptotically stable performed. In addition, the mathematical model is constructed for the electro-hydraulic actuator (EHA). The effectiveness of the actuator fault in the proposed SMO construction has been applied for numerical simulation of the mini motion package system (MMPs).

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APA

Van Nguyen, T., & Ha, C. (2019). The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied for Mini Motion Package Electro-Hydraulic Actuator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11645 LNAI, pp. 257–270). Springer Verlag. https://doi.org/10.1007/978-3-030-26766-7_24

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