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
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Awards
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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 SystemsBrief- 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, OptimizationBrief- 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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NEWS MERL researchers presented four papers and organized a special session at The 14th IEEE International Electric Machines and Drives Conference Date: May 15, 2023 - May 18, 2023
Where: San Francisco, CA
MERL Contacts: Dehong Liu; Yusuke Sakamoto; Anantaram Varatharajan; Bingnan Wang
Research Areas: Applied Physics, Control, Electric Systems, Machine Learning, Optimization, Signal ProcessingBrief- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
Bingnan Wang presented four papers at IEMDC 2023 held May 15-18 in San Francisco, CA. The topics of the four oral presentations range from electric machine design optimization, to fault detection and sensorless control. Bingnan Wang organized a special session at the conference entitled: Learning-based Electric Machine Design and Optimization. Bingnan Wang and Yusuke Sakamoto together chaired the special session, as well as a session on: Condition Monitoring, Fault Diagnosis and Prognosis.
The 14th IEEE International Electric Machines and Drives Conference: IEMDC 2023, is one of the major conferences in the area of electric machines and drives. The conference was established in 1997 and has taken place every two years thereafter.
- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
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EVENT MERL's Virtual Open House 2022 Date & Time: Monday, December 12, 2022; 1:00pm-5:30pm ET
Location: Mitsubishi Electric Research Laboratories (MERL)/Virtual
Research Areas: Applied Physics, Artificial Intelligence, Communications, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Electric Systems, Electronic and Photonic Devices, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & Audio, Digital VideoBrief- Join MERL's virtual open house on December 12th, 2022! Featuring a keynote, live sessions, research area booths, and opportunities to interact with our research team. Discover who we are and what we do, and learn about internship and employment opportunities.
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Internships
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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
- "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
, - "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}
- }
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- "Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach", American Control Conference (ACC), May 2023.
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