Although modular linear flux-reversal permanent magnet motors are widely attractive for high reliability urban rail transit because of their advantages such as high power density, high reliability, low permanent magnet flux leakage problem, and improved fault-tolerant capability, they suffer from high thrust ripples. In this article the authors use a layer model for defining different optimization problems to improve thrust density, efficiency, and thrust ripples, independently and simultaneously. Design variables are chosen based on the sensitivity analysis of different objective functions relative to motor different geometrical parameters and some constraints are taken into account to avoid undesirable results. Then the proposed analytical model and optimization process are verified by time-stepping finite-element method.
Electromagnetic Design Optimization of a Modular Linear Flux-reversal Motor
Electric power components and systems ; 44 , 18
2016
Aufsatz (Zeitschrift)
Englisch
Design optimization , thrust density , multi-objective optimization , efficiency , modular linear flux-reversal permanent magnet motor , layer model , time-stepping finite-element analysis , sensitivity analysis , imperialist competitive algorithm , Sensitivity analysis , Electromagnetics , Magnetism , Motors , geometrical parameters , thrust ripple , Algorithms
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