MERL - Mitsubishi Electric Research Laboratories

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    MERL receives 33rd ARIB Radio Achievement Award
      Date: June 28, 2022
      Awarded to: Yukimasa Nagai, Jianlin Guo, Shoichi Kitazawa, Kazuto Yano.
      MERL Contacts: Jianlin Guo; Philip V. Orlik
      Research Areas: Communications, Electric Systems
      Brief
      • Mitsubishi Electric Corporation (Yukimasa Nagai), MERL (Jianlin Guo), Muroran Institute of Technology (Shoichi Kitazawa) and Advanced Telecommunications Research Institute International (Kazuto Yano) jointly won the 33rd ARIB Radio Achievement Award with "IEEE 802.19.3 Standardization and Development for Sub-1 GHz Wireless Frequency Coexistence". The ARIB is an organization similar to the FCC in the U.S. It is responsible for setting standards for all radio communications in Japan at the request of the Ministry of Internal Affairs and Communications (MIC). In order to promote the effective use of radio waves, the "Radio Achievement Award" is given annually to an individual or organization that has made a special achievement in the effective use of radio waves. This award is the most prestigious award in the field of wireless communications in Japan.
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    •  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: Daniel N. 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

    • EA1891: Electric machine monitoring technologies

      MERL is looking for a self-motivated intern to work on electric machine monitoring, fault detection, and predictive maintenance. The ideal candidate would be a Ph.D. candidate in electrical engineering or computer science with solid research background in electric machines, signal processing, and machine learning. Proficiency in MATLAB and Simulink is necessary. The intern is expected to collaborate with MERL researchers to perform simulations, analyze experimental data, and prepare manuscripts for scientific publications. The total duration is anticipated to be 3 months and the start date is flexible. This internship requires work that can only be done at MERL.


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  • Recent Publications

    •  Farakhor, A., Wang, Y., Wu, D., Fang, H., "Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach", American Control Conference (ACC), May 2023.
      BibTeX TR2023-054 PDF
      • @inproceedings{Farakhor2023may,
      • author = {Farakhor, Amir and Wang, Yebin and Wu, Di and Fang, Huazhen},
      • title = {Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach},
      • booktitle = {American Control Conference (ACC)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-054}
      • }
    •  Sakamoto, Y., Xu, Y., Wang, B., Yamamoto, T., Nishimura, Y., "Electric Motor Surrogate Model Combining Subdomain Method and Neural Network", Conference on the Computation of Electromagnetic Fields (COMPUMAG), May 2023.
      BibTeX TR2023-041 PDF
      • @inproceedings{Sakamoto2023may2,
      • author = {Sakamoto, Yusuke and Xu, Yihao and Wang, Bingnan and Yamamoto, Tatsuya and Nishimura, Yuki},
      • title = {Electric Motor Surrogate Model Combining Subdomain Method and Neural Network},
      • booktitle = {Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-041}
      • }
    •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., "Comparison of Learning-based Surrogate Models for Electric Motors", Conference on the Computation of Electromagnetic Fields (COMPUMAG), May 2023.
      BibTeX TR2023-042 PDF
      • @inproceedings{Xu2023may,
      • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki},
      • title = {Comparison of Learning-based Surrogate Models for Electric Motors},
      • booktitle = {Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-042}
      • }
    •  Anantaram, V., Goldsmith, A., Wang, Y., "Flying Start of Sensorless Synchronous Machines with Reactive Power Injection", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.
      BibTeX TR2023-037 PDF
      • @inproceedings{Anantaram2023may,
      • author = {Anantaram, Varatharajan and Goldsmith, Abraham and Wang, Yebin},
      • title = {Flying Start of Sensorless Synchronous Machines with Reactive Power Injection},
      • booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-037}
      • }
    •  Liu, D., Varatharajan, A., Goldsmith, A., Kong, C., Sigatapu, L., Wang, Y., "Broken-bar Fault Detection by Injecting a Frequency Modulated Continuous Wave Signal", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.
      BibTeX TR2023-039 PDF
      • @inproceedings{Liu2023may,
      • author = {Liu, Dehong and Varatharajan, Anantaram and Goldsmith, Abraham and Kong, Chuizheng and Sigatapu, Laxman and Wang, Yebin},
      • title = {Broken-bar Fault Detection by Injecting a Frequency Modulated Continuous Wave Signal},
      • booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-039}
      • }
    •  Sakamoto, Y., Xu, Y., Wang, B., Yamamoto, T., Nishimura, Y., "Multi-Objective Motor Design Optimization with Physics-Assisted Neural Network Model", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.
      BibTeX TR2023-038 PDF
      • @inproceedings{Sakamoto2023may,
      • author = {Sakamoto, Yusuke and Xu, Yihao and Wang, Bingnan and Yamamoto, Tatsuya and Nishimura, Yuki},
      • title = {Multi-Objective Motor Design Optimization with Physics-Assisted Neural Network Model},
      • booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-038}
      • }
    •  Xu, Y., Wang, B., Sakamoto, Y., Yamamoto, T., Nishimura, Y., Koike-Akino, T., Wang, Y., "Tandem Neural Networks for Electric Machine Inverse Design", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.
      BibTeX TR2023-040 PDF
      • @inproceedings{Xu2023may2,
      • author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Tandem Neural Networks for Electric Machine Inverse Design},
      • booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-040}
      • }
    •  Kelkar, V.A., Liu, D., Inoue, H., Kanemaru, M., "Sparsity-driven Joint Blind Deconvolution-demodulation with Application to Motor Fault Detection", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2023.
      BibTeX TR2023-026 PDF
      • @inproceedings{Kelkar2023may,
      • author = {Kelkar, Varun A. and Liu, Dehong and Inoue, Hiroshi and Kanemaru, Makoto},
      • title = {Sparsity-driven Joint Blind Deconvolution-demodulation with Application to Motor Fault Detection},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2023,
      • month = may,
      • url = {https://www.merl.com/publications/TR2023-026}
      • }
    See All Publications for Electric Systems

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