NDLI: Morphing parametric modeling and design optimization of spoke and V-type permanent magnet machines by combined design of experiments and differential evolution algorithms

Content Provider	IEEE Xplore Digital Library
Author	Peng Zhang Ionel, D.M. Demerdash, N.A.O.
Copyright Year	2013
Description	Author affiliation: Regal Beloit Corp., Grafton, WI, USA (Ionel, D.M.) \|\| Marquette Univ., Milwaukee, WI, USA (Peng Zhang; Demerdash, N.A.O.)
Abstract	In this paper, two novel morphing parametric models for flat-to-V-type (FV) and for spoke-to-V-type (SV) Permanent Magnet (PM) synchronous machine configurations are introduced. A combined multi-objective design optimization method employing Design of Experiments (DOE) and Differential Evolution (DE) algorithms was developed and implemented. A Central Composite Design (CCD) approach combined with the Response Surface Method (RSM) was used to perform a sensitivity study from which the significant independent design variables were selected for the DE design optimization procedure. A computationally efficient-Finite Element Analysis (CE-FEA) technique was employed to evaluate the electromagnetic performance of the candidate designs. Three optimization objectives are concurrently considered for minimum material cost, power losses and torque ripple, respectively. The DE optimization results enable the systematic comparison of three interior permanent magnet (IPM) motor topologies: flat-type, generic V-shape and spoke, respectively. A discussion on the relative merits of each topology is included.
Starting Page	5056
Ending Page	5063
File Size	1519718
Page Count	8
File Format	PDF
ISBN	9781479903368
DOI	10.1109/ECCE.2013.6647383
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensitivity Layout Spoke-type permanent magnet machine Materials Differential evolution Parametric statistics Topology Finite element analysis Response surface methodology Design of experiments Design optimization Interior permanent magnet machines
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Design optimization of spoke-type ferrite magnet machines by combined design of experiments and differential evolution algorithms

Establishing the Relative Merits of Interior and Spoke-Type Permanent-Magnet Machines With Ferrite or NdFeB Through Systematic Design Optimization

Application of response surface methodology combined with experimental design for improving torque performance of interior permanent magnet synchronous motor

Magnet Shape Optimization of Two-Layer Spoke-Type Axial Flux Interior Permanent Magnet Machines

Topology Optimization of an Interior Permanent Magnet Synchronous Machine Using a Coupled Finite Elements ! Genetic Algorithms Technique

Advanced Optimization Design Techniques for Automotive Interior Permanent Magnet Synchronous Machines

Maximum torque control for optimal design to reduce cogging torque in spoke type interior permanent magnet synchronous motor

Design optimization of permanent magnet motors using response surface methodology and genetic algorithms

Analysis and design of V-spoke ferrite interior permanent magnet machine for traction applications

Morphing parametric modeling and design optimization of spoke and V-type permanent magnet machines by combined design of experiments and differential evolution algorithms

Similar Documents

Design optimization of spoke-type ferrite magnet machines by combined design of experiments and differential evolution algorithms

Establishing the Relative Merits of Interior and Spoke-Type Permanent-Magnet Machines With Ferrite or NdFeB Through Systematic Design Optimization

Application of response surface methodology combined with experimental design for improving torque performance of interior permanent magnet synchronous motor

Magnet Shape Optimization of Two-Layer Spoke-Type Axial Flux Interior Permanent Magnet Machines

Topology Optimization of an Interior Permanent Magnet Synchronous Machine Using a Coupled Finite Elements ! Genetic Algorithms Technique

Advanced Optimization Design Techniques for Automotive Interior Permanent Magnet Synchronous Machines

Maximum torque control for optimal design to reduce cogging torque in spoke type interior permanent magnet synchronous motor

Design optimization of permanent magnet motors using response surface methodology and genetic algorithms

Analysis and design of V-spoke ferrite interior permanent magnet machine for traction applications

Morphing parametric modeling and design optimization of spoke and V-type permanent magnet machines by combined design of experiments and differential evolution algorithms