Sliding Mode Observer Based Robust Fault Reconstruction for Modular Multilevel Converter with Actuator and Sensor Fault

被引：2

作者：

Zhang, Yong ^{[1
]}

Cheng, Xiaobin ^{[1
]}

Liu, Zhenxing ^{[1
]}

Zheng, Ying ^{[2
]}

Cheng, Cheng ^{[2
]}

机构：

[1] Wuhan Univ Sci & Technol, Sch Informat Sci & Engn, Wuhan 430081, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Peoples R China

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Fault reconstruction; Modular multilevel converter; Sliding mode observer; Linear matrix inequality; OPEN-CIRCUIT FAULT; DIAGNOSIS;

D O I：

10.1016/j.ifacol.2020.12.172

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In 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. Copyright (C) 2020 The Authors.

引用

页码：13365 / 13370

页数：6

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