报告详情
Fault Diagnosis of Cascaded H-Bridge Inverter Using Model Predictive Control
编号：118
访问权限：公开
更新：2023-06-12 21:52:46
浏览：418次
张贴报告
摘要
This paper proposes a new fault detection and localization (FDL) algorithm based on modulated model predictive control (M2PC) method for Cascaded H-bridge (CHB) inverters. Model predictive control (MPC) algorithms have been widely applied in medium-voltage (MV) power converters for its advantages in dynamic performance and control of multiple objectives. However, it has some limits for multilevel topologies, including variable switching frequency and large computation burden. In addition, in cascaded H-bridge (CHB) multilevel inverters, fault detection and localization need to be incorporated into the control system to make it work normally when there is an open fault in power cells. This paper employs M2PC approach to calculate output voltage references with reduced computation burden in every sampling time. Also, M2PC features a fixed switching frequency in the system which helps improving harmonic spectrum and simplify filter design. Furthermore, FDL scheme can detect open switch fault in CHB multilevel inverter by comparing actual and predicted phase voltages. With the fault detection method, open switches can be localized through the fault matrix with the measurement of load currents and phase voltages in various open-fault scenarios. Simulation results verify the performance of proposed M2PC and FDL algorithms.
关键词
Cascaded H-Bridge inverter;modulated model predictive control;fault detection and localization;fixed switching frequency;open-fault scenarios
报告人
Yue Pan
McMaster University Zhituo Ni
Rockwell Automation Inc. Ahmed Abuelnaga
Mehdi Narimani
McMaster University Jose Rodriguez
Universidad San Sebastian全部评论
重要日期
-
会议日期
06月16日
2023
至06月19日
2023
-
06月15日 2023
报告提交截止日期
-
07月02日 2023
注册截止日期
主办单位
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
(IEEE PELS)
IEEE
联系方式
- Organizing Committee
- pr******@hust.edu.cn
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