NDLI: Design and multi-objective optimisation of switched reluctance machine with iron loss

Content Provider	IET Digital Library
Author	Yan, Wenju Chen, Hao Liu, Xuekun Ma, Xiaoping Lv, Zhongwei Wang, Xing Palka, Ryszard Chen, Lei Wang, Kai
Abstract	In this study, the design optimisation of a switched reluctance machine (SRM) with the layered method has been studied. Firstly, a multi-physical analytical model for the SRM is established. The proposed model consists of an electromagnetic model, an electrical model, a loss model, and a thermal model. Then a layered optimisation design method suitable for the SRM is proposed in combination with the multi-physical field simulation model. Taguchi method is used to analyse the influence degree of the main geometric dimensions on the dynamic performance, and the parameters are divided into high-sensitivity parameters (HSPs) and low-sensitivity parameters. The non-dominated sorting genetic algorithm-II algorithm is used to optimise the HSP by the proposed model. The iron loss, average torque, average torque per unit mass, torque ripple and efficiency are taken as the objective functions. Finally, the prototype is manufactured and a testing platform is built. The flux linkage of several special positions of the machine is verified experimentally, and the accuracy of the electromagnetic model in the multi-physical field model is verified. The temperature experiments are carried out on the machine, and the accuracy of the equivalent heat circuit model in the multi-physical field model is verified.
Starting Page	435
Ending Page	444
Page Count	10
ISSN	17518660
Volume Number	13
e-ISSN	17518679
Issue Number	Issue 4, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-epa/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-epa.2018.5699
Journal	IET Electric Power Applications
Publisher Date	2019-01-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Average Torque Design Optimisation Electrical Model Electromagnetic Model Equivalent Heat Circuit Model Finite Element Analysis Genetic Algorithm High-sensitivity Parameter Iron Loss Layered Method Layered Optimisation Design Method Loss Model Low-sensitivity Parameter Magnetic Flux Multiobjective Optimisation Multiphysical Analytical Model Multiphysical Field Model Optimisation Optimisation Technique Reluctance Machine Sorting Genetic Algorithm-II Algorithm SRM Switched Reluctance Machine Synchronous Machine Taguchi Method Thermal Model Torque
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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