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Lookup NU author(s): Zheng Tan,
Dr Nick BakerORCiD,
Dr Wenping Cao
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Institute of Engineering and Technology (IET), 2016.
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This paper presents a case study for multi-variable and multimodal design optimisation of a doubly fed induction generator (DFIG) based on surrogate-model optimisation algorithm. The DFIG's winding of stator and rotor are optimised to obtain higher efficiency for rewinding purposes. First, a Latin hypercube design is selected as the design of experiments to obtain sampling points. Then, the surrogate model is constructed using Kriging Model (KRG) method based on the Latin hypercube design. Finally, the particle swarm optimisation algorithm is applied in conjunction with the finite element method to achieve the machine design optimisation.
Author(s): Tan Z, Baker NJ, Cao W
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)
Year of Conference: 2016
Online publication date: 10/11/2016
Acceptance date: 16/02/2016
Date deposited: 27/07/2016
Publisher: Institute of Engineering and Technology (IET)
Library holdings: Search Newcastle University Library for this item