Maglev Trains - Liu, Zhigang

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Résumé :
The motion of the train depends on the traction of linear motors in the vehicle. This book describes a number of essential technologies that can ensure the safe operation of Maglev trains, such as suspension and orientation technologies, network control and diagnosis technologies. This book is intended for researchers, scientists, engineers and graduate students involved in the rail transit industry, train control and diagnosis, and Maglev technology.

Biographie:
Yu Long, is a professor and doctoral supervisor at the School of Electrical Engineering, Southwest Jiaotong University. He has been engaged in teaching and research on intelligent operation and maintenance of traction power supply for a long time, and is a visiting scholar at the University of Birmingham, UK, between 2019 and 2020. Prof. Yu Long has a deep understanding of the theories of high-speed railroad bow network relationship and contact network RAMS assessment, and has successfully applied them in engineering practice, solving many technical problems in high-speed railroad bow network operation and maintenance, and has won one second prize of national scientific and technological progress, and one special prize of scientific and technological progress of the China Railway Society...

Sommaire:
Zhigang Liu (IEEE Fellow, IET Fellow, AAIA Fellow) received the Ph.D. degree in Power system and its Automation from Southwest Jiaotong University, China, in 2003. He is currently Full Professor of the School of Electrical Engineering, Southwest Jiaotong University, Chengdu. He is also Guest Professor of Tongji University. Shanghai. He has authored three books and published more than 200 peer-reviewed journal and conference articles. His research interests include the electrical relationship of EMUs and traction, detection, and assessment of pantograph-catenary in high-speed railway. Dr. Liu is Associate Editor-in-Chief of IEEE Transactions on Instrumentation and Measurement and Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, and IEEE Access. He received IEEE TIM's Outstanding Associate Editors for 2019, 2020, and 2021 and Outstanding Reviewer of IEEE Transactions on Instrumentation and Measurement in 2018. Siqi Wu (IEEE Graduate Student Member) received her Ph.D. degree in Electrical Engineering from the School of Electrical Engineering, Southwest Jiaotong University (SWJTU), Chengdu, China, in 2022. From 2021 to 2022, she was Visiting Ph.D. Student at the Department of Electrical and Computer Engineering, the University of British Columbia, Vancouver, Canada. She had also served as Chair of IEEE SWJTU Student Branch (STB11458) since 2021 and General Conference Chair and Technical Program Committee Chair of the 2nd China International Youth Conference on Electrical Engineering (IEEE CIYCEE 2021). She is currently Postdoc Researcher at the Department of Electrical Engineering, the Hong Kong Polytechnic University, Hong Kong, China. Her research interests include the control, modeling, and stability analysis of power electronics-based systems. She has published 14 SCI/EI journal papers and 5 conference papers. Xiangyu Meng (IEEE Student Member) received the B.S. degree in Electrical Engineering from Lanzhou Jiaotong University, Lanzhou, China, in 2019. He is currently pursuing the Ph.D. degree in electrical engineering from Southwest Jiaotong University. From 2021 to 2022, he served as Chair of the IEEE IAS Student Branch Chapter at Southwest Jiaotong University (SBC11458). He was also General Conference Chairman of the 2nd China International Youth Conference on Electrical Engineering (CIYCEE 2021) in 2021. His research interests include impedance model and stability analysis of railway vehicle-grid systems and design of large-scale renewable energy sources integration into power systems. He has published 8 SCI/EI journal papers and 2 conference papers. He received the Best Paper Award of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT), in 2021....