Modeling and dynamic performance of distributed force in high-temperature superconducting pinning magnetic levitation
Physica Scripta, ISSN: 1402-4896, Vol: 99, Issue: 10
2024
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Article Description
High-temperature superconducting (HTS) pinning magnetic levitation (maglev) systems are highly promising for future applications in rail transportation. Through the interaction between onboard HTS bulks and the permanent magnet guideway (PMG), this system generates levitation and guidance forces, known as the HTS-PMG relationship. Under practical conditions, this interaction manifests itself as a distributed force. However, past models have only considered concentrated forces. This study aims to design experiments to investigate the HTS-PMG relationship and propose a more realistic discretized lateral-vertical coupling HTS-PMG relationship to accurately reflect torques in dynamic simulations. Based on this, a dynamic model is established to analyze the Sperling index and the five-degree-of-freedom dynamic response of the HTS pinning maglev vehicle system under different HTS-PMG relationship models. The results indicate that the proposed discretized lateral-vertical coupling HTS-PMG relationship accurately characterizes the torque generated by the HTS levitator, influencing lateral, roll, pitch, and yaw motions to some extent. Compared with the concentrated force model, the discrete force model exhibits superior dynamic performance, particularly in terms of lateral dynamics and the lateral Sperling index. This study provides valuable insights into the field of HTS maglev, particularly regarding investigating HTS-PMG relationships and their impact on HTS maglev system dynamic performance.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85203271223&origin=inward; http://dx.doi.org/10.1088/1402-4896/ad723a; https://iopscience.iop.org/article/10.1088/1402-4896/ad723a; https://dx.doi.org/10.1088/1402-4896/ad723a; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=c1e5fdd4-5f1e-43ce-b8e4-eea2e5fef897&ssb=03680284835&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1402-4896%2Fad723a&ssi=14087823-cnvj-4a88-ab38-e96bce205401&ssk=botmanager_support@radware.com&ssm=16379952901750851249679199330156856&ssn=0fff4aadcf0b0471cc9c40364f719290a4903460dc2c-6ee3-420f-b2536f&sso=ca6221ed-b2e6616f70ebb46a42b4565268063f8d5d3aa80ccb6c14a2&ssp=63684004331725346810172600040661450&ssq=05680585073471151095718888562358782342756&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJfX3V6bWYiOiI3ZjYwMDA1ZGE5MzUzMS1kNzliLTQ1MWEtYWMwNi00OTFhYzQxOWZjNGYxNzI1MzE4ODg4NTM3NzMxODQ1ODEyLTMwZGMyMWRkMjZlNzg5MWUyNDk2NCIsInJkIjoiaW9wLm9yZyIsInV6bXgiOiI3ZjkwMDAwYzMzYzZiYi1mMzAyLTQ4NmQtODgzNi01OTAyYThhYWVhZGUxMC0xNzI1MzE4ODg4NTM3NzMxODQ1ODEyLThiYzVmMjY5Nzk4YjEwYjcyNDk2NCJ9
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