تشخیص و آشکارسازی خطای اتصال باز در مبدل DC/AC مبتنی بر IGBT به‌کارگرفته‌شده در خودروی الکتریکی

نویسندگان

1 دانشکده مهندسی برق - دانشگاه تخصصی فناوری‌های نوین آمل

2 دانشکده مهندسی برق - مؤسسه آموزش عالی کاوش

چکیده

امروزه مبدل‌های الکترونیک قدرت نقش بسیار مهم و غیرقابل انکاری در سیستم پیش‌رانش خودروهای الکتریکی ایفا می‌کنند. یکی از انواع مبدل‌ها، اینورتر منبع ولتاژ می‌باشد که کاربرد بسیار زیادی در درایو موتور الکتریکی دارد. در خودروهای برقی، به‌دلیل محیط پرتنش که با اغتشاش نیز همراه است، اینورترها همواره در معرض خرابی قرار دارند که گاهی اوقات باعث بروز خسارات جبران‌ناپذیری می‌شود. ازاین‌رو شناسایی و تشخیص خطا در اینورترها از اهمیت بسیار بالایی برخوردار است و سبب افزایش ایمنی سیستم خواهد شد. این مقاله، به آشکارسازی خطای اتصال باز در اینورتر منبع ولتاژ مبتنی بر IGBT پرداخته است. نوع خطاهایی که مورد بررسی قرار خواهندگرفت از نوع خطای تک و چندگانه IGBT می‌باشد. به‌منظور استخراج شاخص خطا، یک الگوی شناسایی خطای اتصال باز در این کار معرفی شده است و نتایج به‌دست‌آمده، رضایت‌بخش بوده است. در ادامه برای آشکارسازی و کلاسه‌بندی خطا، از الگوریتم شبکه عصبی پرسپترون چندلایه استفاده شده است. سیستم موردمطالعه در حالت استاتیک با ۵ سطح گشتاور و ۵ سطح سرعت مختلف در حالت ایستا موردبررسی قرار گرفته است که تمامی حالات خطا، به کمک الگوریتم شبکه عصبی، با موفقیت مورد شناسایی قرار گرفته است.

کلیدواژه‌ها

عنوان مقاله [English]

Open Phases Fault Diagnosis of IGBT-based DC-AC Inverter of Electric Vehicle

نویسندگان [English]

  • S. S. Moosavi 1
  • A. Kazemi 2
  • H. Akbari 2
1 Faculty of Electrical Engineering, Amol University of Special Modern Technologies, Iran
2 Faculty of Electrical Engineering, Kavosh Institute of Higher Education, Iran
چکیده [English]

Nowadays, the power electronic converters play a crucial and undeniable role on electric vehicles propulsion system. One type of this converters are voltage source inverter (VSI) that use a lot in electric motor drives. In electric vehicles, due to the tense environment that is also associated with turbulence, Inverters are always at risk of failure that occasionally caused to irreparable damages. This paper focuses on diagnosis and detection of open phases fault on IGBT based VSI inverter. In order to extract the fault index, an open-circuit fault detection model presented in this work and the results obtained have been satisfactory. In continue, for fault diagnosis and classification, it is used a multilayer perceptron artificial neural network (MPANN) algorithm. The system is investigated under 5 different torque and speed level in static state, that all fault conditions have been identified successfully with the help of MPANN.

کلیدواژه‌ها [English]

  • Power electronic converter
  • voltage source inverter
  • fault diagnosis and detection
  • hybrid-electric vehicle
  • open phase fault
  • multilayer perceptron artificial neural network

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