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System Level Six Sigma Robust Optimization of a Drive System With PM Transverse Flux Machine

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6 Author(s)
Gang Lei$^{1}$ College of Electrical and Electronic Engineering,, Huazhong University of Science and Technology, Wuhan,, China ; Y. G. Guo ; J. G. Zhu ; T. S. Wang
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From our previous study, permanent magnet (PM) transverse flux machine with soft magnetic composite material core is very promising. However, from the point of view of engineering application, at least two more aspects have to be considered. First, not only the machine but also its control system has to be investigated and optimized simultaneously. Second, robust design requirements must be included in the system level optimization, which is a very important issue in modern quality design. Therefore, to improve the applications of this type of machine, we present a system level six sigma robust optimization method to design a drive system with this motor and field-oriented control scheme. The optimal robust solutions obtained are compared with those from deterministic optimization method and initial design scheme. From the comparison, we can see that the system's reliabilities and robust levels are improved significantly by the proposed method, and the probability of system failure can be reduced a lot.

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IEEE Transactions on Magnetics  (Volume:48 ,  Issue: 2 )