Multi-Objective Optimization Design of Fractional Slot Concentrated Winding Permanent Magnet Synchronous Machines

Saleh O. Edhah; Jamal Y. Alsawalhi; Ahmed A. Al-Durra

doi:10.1109/ACCESS.2019.2951023

Multi-Objective Optimization Design of Fractional Slot Concentrated Winding Permanent Magnet Synchronous Machines

Saleh O. Edhah, Jamal Y. Alsawalhi, Ahmed A. Al-Durra

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

Fractional-slot concentrated-winding (FSCW) permanent magnet synchronous machines (PMSMs) have several advantages when compared to other conventional topologies. Design of these motors often rely on the designer's experience, or numerical methods which are time inefficient. This makes them unsuitable for multi-objective optimization design procedure in which a huge design space is adopted, and which have been shown to be effective in finding optimum machine designs. This work introduces a generic multi-objective optimization design framework for a surface mounted (SM) FSCW-PMSM based on a general analytical model that considers various machine aspects such as its geometry, winding configuration, losses, iron temporal flux density levels and drive control. The design procedure is demonstrated to design a surface-mounted (SM) FSCW-PMSM motor with a wide constant power speed range of 5:1. Validation is carried out using Finite Element Analysis (FEA) with good agreement in results.

Original language	British English
Article number	8890644
Pages (from-to)	162874-162882
Number of pages	9
Journal	IEEE Access
Volume	7
DOIs	https://doi.org/10.1109/ACCESS.2019.2951023
State	Published - 2019

Keywords

concentrated winding
Fractional-slot
FSCW-PMSM
motor optimization design
multi-objective optimization design
permanent magnet synchronous machines

UN SDGs

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10.1109/ACCESS.2019.2951023

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title = "Multi-Objective Optimization Design of Fractional Slot Concentrated Winding Permanent Magnet Synchronous Machines",

abstract = "Fractional-slot concentrated-winding (FSCW) permanent magnet synchronous machines (PMSMs) have several advantages when compared to other conventional topologies. Design of these motors often rely on the designer's experience, or numerical methods which are time inefficient. This makes them unsuitable for multi-objective optimization design procedure in which a huge design space is adopted, and which have been shown to be effective in finding optimum machine designs. This work introduces a generic multi-objective optimization design framework for a surface mounted (SM) FSCW-PMSM based on a general analytical model that considers various machine aspects such as its geometry, winding configuration, losses, iron temporal flux density levels and drive control. The design procedure is demonstrated to design a surface-mounted (SM) FSCW-PMSM motor with a wide constant power speed range of 5:1. Validation is carried out using Finite Element Analysis (FEA) with good agreement in results.",

keywords = "concentrated winding, Fractional-slot, FSCW-PMSM, motor optimization design, multi-objective optimization design, permanent magnet synchronous machines",

author = "Edhah, {Saleh O.} and Alsawalhi, {Jamal Y.} and Al-Durra, {Ahmed A.}",

note = "Funding Information: This work was supported by the Khalifa University of Science and Technology under the APEC Award RC2-2018-06 and Award FSU-2018-11. Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2019",

doi = "10.1109/ACCESS.2019.2951023",

language = "British English",

volume = "7",

pages = "162874--162882",

journal = "IEEE Access",

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AU - Edhah, Saleh O.

AU - Alsawalhi, Jamal Y.

AU - Al-Durra, Ahmed A.

PY - 2019

Y1 - 2019

N2 - Fractional-slot concentrated-winding (FSCW) permanent magnet synchronous machines (PMSMs) have several advantages when compared to other conventional topologies. Design of these motors often rely on the designer's experience, or numerical methods which are time inefficient. This makes them unsuitable for multi-objective optimization design procedure in which a huge design space is adopted, and which have been shown to be effective in finding optimum machine designs. This work introduces a generic multi-objective optimization design framework for a surface mounted (SM) FSCW-PMSM based on a general analytical model that considers various machine aspects such as its geometry, winding configuration, losses, iron temporal flux density levels and drive control. The design procedure is demonstrated to design a surface-mounted (SM) FSCW-PMSM motor with a wide constant power speed range of 5:1. Validation is carried out using Finite Element Analysis (FEA) with good agreement in results.

AB - Fractional-slot concentrated-winding (FSCW) permanent magnet synchronous machines (PMSMs) have several advantages when compared to other conventional topologies. Design of these motors often rely on the designer's experience, or numerical methods which are time inefficient. This makes them unsuitable for multi-objective optimization design procedure in which a huge design space is adopted, and which have been shown to be effective in finding optimum machine designs. This work introduces a generic multi-objective optimization design framework for a surface mounted (SM) FSCW-PMSM based on a general analytical model that considers various machine aspects such as its geometry, winding configuration, losses, iron temporal flux density levels and drive control. The design procedure is demonstrated to design a surface-mounted (SM) FSCW-PMSM motor with a wide constant power speed range of 5:1. Validation is carried out using Finite Element Analysis (FEA) with good agreement in results.

KW - concentrated winding

KW - Fractional-slot

KW - FSCW-PMSM

KW - motor optimization design

KW - multi-objective optimization design

KW - permanent magnet synchronous machines

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U2 - 10.1109/ACCESS.2019.2951023

DO - 10.1109/ACCESS.2019.2951023

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JF - IEEE Access

M1 - 8890644

ER -

Multi-Objective Optimization Design of Fractional Slot Concentrated Winding Permanent Magnet Synchronous Machines

Abstract

Keywords

UN SDGs

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