MERL - Mitsubishi Electric Research Laboratories

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Electric Systems

Modeling & optimization of power systems and electromagnetic machines.

Our research in this area includes flexible and resilient power system design and operational optimization; modeling and analysis of electric machines for applications such as fault detection of motors, power efficiency improvement and design complexity reduction.

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  • Researchers

  • Awards

    •  AWARD   Best conference paper of IEEE PES-GM 2020
      Date: June 18, 2020
      Awarded to: Tong Huang, Hongbo Sun, K.J. Kim, Daniel Nikovski, Le Xie
      MERL Contacts: Kyeong Jin (K.J.) Kim; Daniel Nikovski; Hongbo Sun
      Research Areas: Data Analytics, Electric Systems, Optimization
      Brief
      • A paper on A Holistic Framework for Parameter Coordination of Interconnected Microgrids Against Natural Disasters, written by Tong Huang, a former MERL intern from Texas A&M University, has been selected as one of the Best Conference Papers at the 2020 Power and Energy Society General Meeting (PES-GM). IEEE PES-GM is the flagship conference for the IEEE Power and Energy Society. The work was done in collaboration with Hongbo Sun, K. J. Kim, and Daniel Nikovski from MERL, and Tong's advisor, Prof. Le Xie from Texas A&M University.
    •  

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  • News & Events


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  • Internships

    • MD1377: Adaptive Optimal Control of Electrical Machines

      MERL is seeking a motivated and qualified individual to conduct research in control of electrical machines. The ideal candidate should have solid backgrounds in adaptive dynamic programming and state/parameter estimation for electrical machines, demonstrated capability to publish results in leading conferences/journals, and experience with real-time control experiments involving high power devices. Senior Ph.D. students are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.


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  • Recent Publications

    •  Zhang, S., Ye, F., Wang, B., Habetler, T.G., "Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning", IEEE Transactions on Industry Applications, DOI: 10.1109/​TIA.2021.3091958, June 2021.
      BibTeX TR2021-081 PDF
      • @article{Zhang2021jun,
      • author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
      • title = {Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning},
      • journal = {IEEE Transactions on Industry Applications},
      • year = 2021,
      • month = jun,
      • doi = {10.1109/TIA.2021.3091958},
      • url = {https://www.merl.com/publications/TR2021-081}
      • }
    •  Zhou, L., Guo, F., Wang, H., Wang, B., "High-Torque Direct-Drive Machine with Combined Axial- and Radial-flux Out-runner Vernier Permanent Magnet Motor", International Electric Machine & Drives Conference (IEMDC), DOI: 10.1109/​IEMDC47953.2021.9449499, May 2021, pp. 1-8.
      BibTeX TR2021-050 PDF
      • @inproceedings{Zhou2021may,
      • author = {Zhou, Lei and Guo, Feng and Wang, Hongyu and Wang, Bingnan},
      • title = {High-Torque Direct-Drive Machine with Combined Axial- and Radial-flux Out-runner Vernier Permanent Magnet Motor},
      • booktitle = {2021 IEEE International Electric Machines Drives Conference (IEMDC)},
      • year = 2021,
      • pages = {1--8},
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/IEMDC47953.2021.9449499},
      • url = {https://www.merl.com/publications/TR2021-050}
      • }
    •  Chen, D., Danielson, C., Masahiro, I., "Improving Passenger Comfort by Exploiting Hub Motors in Electric Vehicles: Suspension Modeling", ASME Dynamic Systems and Control Conference (DSCC), DOI: 10.1115/​DSCC2020-3167, January 2021.
      BibTeX TR2021-019 PDF
      • @inproceedings{Chen2021jan,
      • author = {Chen, Di and Danielson, Claus and Masahiro, Iezawa},
      • title = {Improving Passenger Comfort by Exploiting Hub Motors in Electric Vehicles: Suspension Modeling},
      • booktitle = {ASME Dynamic Systems and Control Conference (DSCC)},
      • year = 2021,
      • month = jan,
      • doi = {10.1115/DSCC2020-3167},
      • url = {https://www.merl.com/publications/TR2021-019}
      • }
    •  Zhang, S., Ye, F., Wang, B., Habetler, T.G., "Semi-Supervised Bearing Fault Diagnosis and Classification using Variational Autoencoder-Based Deep Generative Models", IEEE Sensors Journal, DOI: 10.1109/​JSEN.2020.3040696, Vol. 21, No. 5, pp. 6476-6486, January 2021.
      BibTeX TR2021-002 PDF
      • @article{Zhang2021jan,
      • author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
      • title = {Semi-Supervised Bearing Fault Diagnosis and Classification using Variational Autoencoder-Based Deep Generative Models},
      • journal = {IEEE Sensors Journal},
      • year = 2021,
      • volume = 21,
      • number = 5,
      • pages = {6476--6486},
      • month = jan,
      • doi = {10.1109/JSEN.2020.3040696},
      • url = {https://www.merl.com/publications/TR2021-002}
      • }
    •  Xiao, D., Sun, H., Nikovski, D.N., Shoichi, K., Mori, K., Hashimoto, H., "CVaR-constrained Stochastic Bidding Strategy for a Virtual Power Plant with Mobile Energy Storages", IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), DOI: 10.1109/​ISGT-Europe47291.2020.9248799, November 2020, pp. 1171-1175.
      BibTeX TR2020-142 PDF
      • @inproceedings{Xiao2020nov,
      • author = {Xiao, Dongliang and Sun, Hongbo and Nikovski, Daniel N. and Shoichi, Kitamura and Mori, Kazuyuki and Hashimoto, Hiroyuki},
      • title = {CVaR-constrained Stochastic Bidding Strategy for a Virtual Power Plant with Mobile Energy Storages},
      • booktitle = {IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)},
      • year = 2020,
      • pages = {1171--1175},
      • month = nov,
      • doi = {10.1109/ISGT-Europe47291.2020.9248799},
      • url = {https://www.merl.com/publications/TR2020-142}
      • }
    •  Zhang, S., Ye, F., Wang, B., Habetler, T.G., "Few-Shot Bearing Anomaly Detection via Model-Agnostic Meta-Learning", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/​ICEMS50442.2020.9291099, November 2020, pp. 1341-1346.
      BibTeX TR2020-151 PDF
      • @inproceedings{Zhang2020nov2,
      • author = {Zhang, Shen and Ye, Fei and Wang, Bingnan and Habetler, Thomas G},
      • title = {Few-Shot Bearing Anomaly Detection via Model-Agnostic Meta-Learning},
      • booktitle = {2020 23rd International Conference on Electrical Machines and Systems (ICEMS)},
      • year = 2020,
      • pages = {1341--1346},
      • month = nov,
      • doi = {10.23919/ICEMS50442.2020.9291099},
      • url = {https://www.merl.com/publications/TR2020-151}
      • }
    •  Sun, H., Shoichi, K., Nikovski, D.N., Mori, K., Hashimoto, H., "Illegitimate Trade Detection for Electricity Energy Markets", International Conference on Smart Grids and Energy Systems (SGES), DOI: doi: 10.110910.1109/​SGES51519.2020.00066, November 2020.
      BibTeX TR2020-147 PDF
      • @inproceedings{Sun2020nov,
      • author = {Sun, Hongbo and Shoichi, Kitamura and Nikovski, Daniel N. and Mori, Kazuyuki and Hashimoto, Hiroyuki},
      • title = {Illegitimate Trade Detection for Electricity Energy Markets},
      • booktitle = {International Conference on Smart Grids and Energy Systems (SGES)},
      • year = 2020,
      • month = nov,
      • doi = {doi: 10.110910.1109/SGES51519.2020.00066},
      • url = {https://www.merl.com/publications/TR2020-147}
      • }
    •  Huang, T., Sun, H., Kim, K.J., Nikovski, D.N., Xie, L., "A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters", IEEE Power & Energy Society General Meeting (PES), DOI: 10.1109/​PESGM41954.2020.9281628, June 2020.
      BibTeX TR2020-082 PDF
      • @inproceedings{Huang2020jun,
      • author = {Huang, Tong and Sun, Hongbo and Kim, Kyeong Jin and Nikovski, Daniel N. and Xie, Le},
      • title = {A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters},
      • booktitle = {IEEE Power & Energy Society General Meeting (PES)},
      • year = 2020,
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.1109/PESGM41954.2020.9281628},
      • url = {https://www.merl.com/publications/TR2020-082}
      • }
    See All Publications for Electric Systems