Fault Diagnosis of Cascaded H-Bridge Inverter Using Model Predictive Control

Yue Pan*, Zhituo Ni, Ahmed Abuelnaga, Mehdi Narimani, Jose Rodriguez

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper proposes a new fault detection and localization (FDL) algorithm based on modulated model predictive control (M2 PC) 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 M2 PC approach to calculate output voltage references with reduced computation burden in every sampling time. Also, M2 PC 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 M2 PC and FDL algorithms.

Idioma originalInglés
Título de la publicación alojada2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350396867
DOI
EstadoPublicada - 2023
Evento2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China
Duración: 20232023

Serie de la publicación

Nombre2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Conferencia

Conferencia2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
País/TerritorioChina
CiudadWuhan
Período16/06/2319/06/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

Áreas temáticas de ASJC Scopus

  • Control y optimización
  • Modelización y simulación
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Seguridad, riesgos, fiabilidad y calidad

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