文章基本信息

标题：Sliding Mode Observer Based Robust Fault Reconstruction for Modular Multilevel Converter with Actuator and Sensor Fault ⁎
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作者：Yong Zhang ; Xiaobin Cheng ; Zhenxing Liu 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：13365-13370
DOI：10.1016/j.ifacol.2020.12.172
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a design method of sliding mode observer (SMO) is proposed to solve the problem of robust fault reconstruction for modular multilevel converter (MMC) with actuator and sensor fault. A state space model of MMC system is established to consider simultaneously actuator fault, sensor fault and uncertainty. Based on the obtained system model, a SMO is introduced to reconstruct the fault and an augmented system is obtained. Especially, the fault can be detected and the fault dynamics can be reconstructed by controlling the sliding mode motion with the equivalent output. Moreover, the SMO gain can be designed via the semi-definite program method. Finally, the effectiveness and feasibility of this method can be verified by using a MMC simulation example.
关键词：KeywordsFault reconstructionModular multilevel converterSliding mode observerLinear matrix inequality