U.S.-UK Cooperative Research: Advanced Modeling Techniques for Brushless Doubly-Fed Electrical Machines

该奖项将支持电子领域的合作研究 艾伦·华莱士博士，俄勒冈州州立大学， 和剑桥大学的斯蒂芬威廉姆森教授， 英格兰 拟议项目的目标是 研究无刷电机的先进建模技术 双馈电机（BDFM），一种新的发展 在可调速驱动和变速发电中 系统. 在俄勒冈州州立大学， 已经建立了线性数学模型， 它给出了性能预测， 与特定条件下的测试结果相关。 然而，BDFM旨在在宽范围内运行， 速度、频率和磁负载的范围。 根据该等 条件，磁性材料的饱和和磁滞， 大截面导体中的集肤效应使线性 模型不适合设计目的。 最先进的 技术来处理非线性分析和设计 传统的笼型转子是由教授 剑桥大学的威廉姆森。 这些技术， 定期利用有限元分析内部 确定线性模型修正值的机器字段 参数，似乎提供了最佳的修改机会 以涵盖独特的BDFM转子配置。 美国 一位首席研究员建议将剑桥 纳入俄勒冈州州立大学模型的技术 BDFM的详细设计，以制定具体的 目前正在申请在OSU。的结果 这项研究将为 BDFM的潜在商业可行性。

This award will support cooperative research in electrical engineering between Dr. Alan Wallace, Oregon State University, and Professor Stephen Williamson, Cambridge University, England. The objective of the proposed project is to investigate advanced modelling techniques for brushless doubly-fed electrical machines (BDFM's), a new development in adjustable-speed drive and variable-speed generation systems. At Oregon State University, two proof-of-concept machines have already been built and linear mathematical models have been developed, which give performance predictions which correlate with test results at specific conditions. However, the BDFM is intended for operation over a wide range of speed, frequency, and magnetic loading. Under such conditions, saturation and hysteresis in magnetic materials, and skin-effects in large sectional conductors make linear models inadequate for design purposes. The most advanced techniques to handle nonlinear analysis and design of conventional-cage rotors have been developed by Professor Williamson of Cambridge University. These techniques, which periodically utilize finite element analyses of internal machine fields to determine revised values of linear model parameters, appear to offer the best chance of modification to cover the unique BDFM rotor configurations. The US principal investigator proposes to adapt the Cambridge techniques for inclusion in Oregon State University's models of BDFM in order to develop detailed design for specific applications currently being selected at OSU. The results of this research will make an important contribution to the potential commercial viability of BDFM's.