Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/35587
Title: A novel sequential strategy for multivariable optimization in designing of PM motor
Authors: Liu, X
Fu, WN 
Keywords: Multivariable optimization
Particle swarm optimization
Permanent magnet motor
Random search
Sequential strategy
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2015 IEEE International Magnetics Conference, INTERMAG 2015, 2015, 7156997 How to cite?
Abstract: This paper presents a novel sequential strategy which is based on finite element method (FEM) and optimization methodology. It is proposed to deal with the multivariable designing of the permanent magnet (PM) motor. In this paper, the property variables are divided into groups by a key factor, each group only involves one or two variables. Then the optimization process will be obtained sequentially by the groups. After obtains the optimal result for one group of property variables, next group of variables will be employed in the optimization. This process will continue until the designing maximizes its power efficiency. This method distributes the multivariable optimization into single variable and bi-variables optimizations. It can reduce the computing complexity and save a lot of working time. In order to check the efficiency of this method, this project compares this new strategy with a normal optimal FEM method.
Description: 2015 IEEE International Magnetics Conference, INTERMAG 2015, 11-15 May 2015
URI: http://hdl.handle.net/10397/35587
ISBN: 9781479973231
DOI: 10.1109/INTMAG.2015.7156997
Appears in Collections:Conference Paper

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