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
[1] H. Wang, M. Liserre, and F. Blaabjerg, "Toward reliable power electronics-challenges, design tools and opportunities", IEEE Industrial Electronics Magazine, vol. 7, no. 2, pp. 17-26, Jun. 2013.
[2] E. Wolfgang, "Examples for failures in power electronics systems", ECPE Tutorial on Reliability Power Electronic System, Nuremberg, Germany, Apr. 2007.
[3] F. W. Fuchs, "Some diagnosis methods for voltage source inverters in variable speed drives with induction machines-A survey", IEEE Industrial Electronics Society Annual Conference, pp. 1378-1385, Nov. 2003.
[4] Friednch W. Fuchs, "Some Diagnosis Methods for Voltage Source Inverters in Variable Speed Drives with Induction Machines A Survey", the 29th Annual Conference of the IEEE Industrial Electronics Society, IECON 2003.
[5] Ui-Min Choi, Frede Blaabjerg, Kyo-Beum Lee, "Study and Handling Methods of Power IGBT Module Failures in Power Electronic Converter Systems", IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 30, NO. 5, MAY 2015.
[6] L.Mohammadian, E .Babaei, M.B.Bannae Sharifian, "A New Method for Modeling Bidirectional Buck-boost Converter by using a New Form of Signal Flow Graph in order to Employ in Energy Management System of an Electric Vehicle", Tabriz Journal of Electrical Eng., vol.  46, no. 2, summer 2016.
[7] S. Saeidabadi, A. Ashraf Gandomi, S. H. Hosseini, M. Sabahi, "A New Improved Three Phase Hybrid Multilevel Inverter", Tabriz Journal of Electrical Engineering, vol. 47, no. 2, summer 2017.
[8] Chengguang Huang, Jin Zhao, Gen Tao, and Wu Chaorong, "Data-based Inverter Multiple Fault Diagnosis for Vector Control Induction Motor Drives", 25th Chinese Control and Decision Conference (CCDC), 2013.
[9] M. Aktas V. Turkmenoglu, "Wavelet-based switching faults detection in direct torque control induction motor drives", IET Science, Measurement & Technology Volume: 4, Issue: 6, November 2010.
[10] Chengguang Huang , Jin Zhao , Chaorong Wu, "Data-based inverter IGBT open-circuit fault diagnosis in vector control induction motor drives", IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013.
[11] Tianzhen Wang , Jie Qi , Hao Xu , Yide Wang , Lei Liu , Diju Gao, "Fault diagnosis method based on FFT-RPCA-SVM for Cascaded-Multilevel Inverter", ISA Transactions, Volume 60, Pages 156–163, January 2016.
[12] Sherif M. Dabour, Mahmoud I. Masoud, "Open-Circuit Fault Detection of Five-Phase Voltage Source Inverters", 8th IEEE GCC Conference and Exhibition, Muscat, Oman, 1-4 February, 2015.
[13] Milad Falahi, Hung-Ming Chou, Mehrdad Ehsani, Le Xie, and Karen L. Butler-Purry, "Potential Power Quality Benefits of Electric Vehicles", IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 4, NO. 4, OCTOBER 2013.
[14] Omar Hegazy, Joeri Van Mierlo and Philippe Lataire, "Analysis, Control and Comparison of DC/DC Boost Converter Topologies for Fuel Cell Hybrid Electric Vehicle Applications", 14th European Conference on Power Electronics and Applications, 2011.
[15] Mario Marchesoni, and Camillo Vacca, "New DC–DC Converter for Energy Storage System Interfacing in Fuel Cell Hybrid Electric Vehicles" IEEE TRANSACTIONS ON POWER ELECTRONICS,VOL.22, 08 January 2007.
[16] Zedong Zheng, Kui Wang, Lie Xu, Yongdong Li, "A Hybrid Cascaded Multi-level Converter for Battery Energy Management Applied in Electric Vehicles", IEEE Transactions on Power Electronics, VOL.29, 2013.
[17] Omar Hegazy, Joeri Van Mierlo and Philippe Lataire, "Modeling and Control of Interleaved Multiple-Input Power Converter for Fuel Cell Hybrid Electric Vehicles", International Aegean Conference on  Electrical Machines and Power Electronics and Electromotion, ACEMP), 2011.
[18] A. DI Napoli, F. Crescimbini, F. Giulii Cappon, L. Solero, "Control Strategy for Multiple Input DC-DC Power Converters Devoted to Hybrid Vehicle Propulsion Systems", International Symposium on Industrial Electronics, ISIE 2002.
[19] A. Di Napoli, F. Crescimbini, S. Rodo, L. Solero, "Multiple Input DC-DC Power Converter for Fuel-Cell Powered Hybrid Vehicles", Power Electronics Specialists Conference, PESC 2002.
[20] A. Haddoun, M.E.H. Benbouzid, D. Diallo, R. Abdessemed, J. Ghouili5 and K. Srairi, "Design and Implementation of an Electric Differential for Traction Application", IEEE Vehicle Power and Propulsion Conference (VPPC), 2010.
[21] Bekheira Tabbache, Abdelaziz Kheloui, and Mohamed El Hachemi Benbouzid, "An Adaptive Electric Differential for Electric Vehicles Motion Stabilization", IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 60, NO. 1, JANUARY 2011.
[22] A. Haddoun, M.E.H. Benbouzid, D. Diallo, R. Abdessemed, J. Ghouili5 and K. Srairi, Comparative Analysis of Control Techniques for Efficiency Improvement in Electric Vehicles", IEEE Vehicle Power and Propulsion Conference, VPPC 2007.
[23] Ahmad Asri, Dahaman Ishak, Shahid Iqbal, Mohamad Kamarol, "A Speed Sensorless Field Oriented Control of Parallel- Connected Dual PMSM",  IEEE International Conference on Control System, Computing and Engineering, 2011.
[24] Matheus Alexandre Bevilaqua, Ademir Nied, José de Oliveira, "Labview FPGA FOC Implementation for Synchronous Permanent Magnet Motor Speed Control", 11th IEEE/IAS International Conference on Industry Applications (INDUSCON), 2014.
[25] Fatih Korkmaz, smail Topalolu, M.Faruk Çakr, Rza Gürbüz, "Comparative Performance Evaluation of FOC and DTC Controlled PMSM Drives", Fourth International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), 2013.
[26] D. E. Rumelhart, E. Hinton, and J. Williams, "Learning internal representation by error propagation," Parallel Distributed Processing, vol. 1, 318-362, 1986.