3-D Performance Analysis and Multiobjective Optimization of Coreless-Type PM Linear Synchronous Motors

This paper presents a three-dimensional (3-D) performance analysis and multiobjective design optimization of coreless-type permanent magnet linear synchronous motors. The average of open circuit magnetic field distribution is analytically predicted by solving two Laplace's equations. The windin...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2018-02, Vol.65 (2), p.1855-1864
Main Authors: Seun Guy Min, Sarlioglu, Bulent
Format: Article
Language:English
Subjects:
Air gaps
Average magnetic field
coreless-type motor
Design optimization
differential evolution (DE)
end effect
experiment
Finite element method
Global optimization
magnet linear synchronous motor
Magnetic circuits
Magnetic cores
Magnetic fields
Mathematical model
Multiple objective analysis
optimization
Pareto front
Permanent magnet motors
Permanent magnets
permanent thrust ripple
Synchronous motors
Three dimensional analysis
Two dimensional analysis
winding factor
Windings
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Summary:This paper presents a three-dimensional (3-D) performance analysis and multiobjective design optimization of coreless-type permanent magnet linear synchronous motors. The average of open circuit magnetic field distribution is analytically predicted by solving two Laplace's equations. The winding factor calculation, which requires an approach different from conventional slotted motors, is provided to evaluate the motor performances. As a result, average thrust and thrust ripple can be obtained without loss of accuracy compared with results of 2-D finite element analysis (FEA). The 3-D leakage influences are subsequently incorporated into the analysis using lumped parameter magnetic circuit model because end effects are not neglected due to a relatively large air gap. Consequently, two meaningful contributions of this paper are summarized as follows: first, 3-D electromagnetic performances can be accurately predicted by the proposed analytical method. Second, with no need for the time-consuming 3-D FEA, differential evolution, a practical approach to global optimization, can simply be employed to search for solutions which belong to the Pareto optimal set. Finally, the validity of the analytical results is confirmed with the experimental results.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2017.2745475