Open Circuit Fault Diagnosis in Five-Level Cascaded H-Bridge Inverter

Author:

Mehta Pavan1ORCID,Sahoo Subhanarayan2,Dhiman Harsh2ORCID

Affiliation:

1. Gujarat Technological University, Ahmedabad, Gujarat, India

2. Adani Institute of Infrastructure Engineering, Adalaj, Gujarat, India

Abstract

The development of power electronic converter, especially multilevel converter, is remarkable for several decades. The complex switching and increased power of semiconductor devices are prime reasons for faults in multilevel inverters and have raised question about reliability. To improve the reliability, a cost-effective solution in terms of fault diagnosis is essential. In this context, this study proposed an open circuit fault (OCF) diagnosis technique for a switching device in a five-level cascaded H-bridge multilevel inverter using fuzzy logic control. The OCF features like output voltage total harmonic distortion (THD) and normalized average output voltage are fuzzed as input variables of the fuzzy logic controller. These input variables are divided into various triangular antecedent membership function (MF). The output produced by the fuzzy controller as consequent MFs is divided into different levels to identify the faulty switch. In order to make a complete fault-tolerant structure, a reduced modulation index-based postfault control is suggested to get a balanced output voltage. The MATLAB/Simulink results and prototype results are the evidence to support the proposed fault diagnosis technique.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fault diagnosis method of a cascaded H‐bridge inverter based on a multisource adaptive fusion CNN‐transformer;IET Power Electronics;2024-01-30

2. A model-based power switch fault diagnosis strategy for cascaded H-Bridge converter;Microelectronics Reliability;2023-11

3. Open-Circuit Fault Analysis and Recognition in Three-Level Inverters Based on Recurrence Plot and Convolution Neural Network;International Transactions on Electrical Energy Systems;2023-10-03

4. Intelligent Detection of Circuit Board Faults based on Convolutional Neural Networks;2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2023-08-18

5. Reduced Switch Asymmetrical Multilevel Inverter with Switched DC Sources;2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM);2023-05-17

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