Quick diagnosis of short circuit faults in cascaded H-bridge multilevel inverters using FPGA

Ouni, S ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.6113/JPE.2017.17.1.56
  3. Publisher: Korean Institute of Power Electronics , 2017
  4. Abstract:
  5. Fast and accurate fault detection is the primary step and one of the most important tasks in fault tolerant converters. In this paper, a fast and simple method is proposed to detect and diagnosis the faulty cell in a cascaded H-bridge multilevel inverter under a short circuit fault. In this method, the reference voltage is calculated using switching control pulses and DC-Link voltages. The comparison result of the output voltage and the reference voltage is used in conjunction with active cell pulses to detect the faulty cell. To achieve this goal, the cell which is active when the Fault signal turns to “0” is detected as the faulty cell. Furthermore, consideration of generating the active cell pulses is completely described. Since the main advantage of this method is its simplicity, it can be easily implemented in a programmable digital device. Experimental results obtained with an 11-level inverter prototype confirm the effectiveness of the proposed fault detection technique. In addition, they show that the diagnosis method is unaffected by variations of the modulation index. © 2017 KIPE
  6. Keywords:
  7. Cascaded H-bridge multilevel inverter ; Fault diagnosis ; Field-programmable gate array (FPGA) ; Bridge circuits ; Cells ; Cytology ; Digital devices ; Electric inverters ; Failure analysis ; Field programmable gate arrays (FPGA) ; Timing circuits ; Cascaded h-bridge multilevel inverters ; Comparison result ; Diagnosis methods ; Fault detection techniques ; Fault-tolerant converters ; Reference voltages ; Short-circuit fault ; Switching Control ; Fault detection
  8. Source: Journal of Power Electronics ; Volume 17, Issue 1 , 2017 , Pages 56-66 ; 15982092 (ISSN)
  9. URL: http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=E1PWAX_2017_v17n1_56