University of Hertfordshire

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Rotor Shape Multi-Level Design Optimization for Double-Stator Permanent Magnet Synchronous Motors

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Rotor Shape Multi-Level Design Optimization for Double-Stator Permanent Magnet Synchronous Motors. / Asef, Pedram; Perpina, Ramon Bargallo; Moazami, Saeed; Lapthorn, Andrew Craig.

In: IEEE Transactions on Energy Conversion, 2018.

Research output: Contribution to journalArticlepeer-review

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@article{e04ae6e34a864fba92bbd4c998fdfc1a,
title = "Rotor Shape Multi-Level Design Optimization for Double-Stator Permanent Magnet Synchronous Motors",
abstract = "This research presents a rotor shape multi-level-objective optimization designed to reduce the mechanical stress distribution in the rotor core of a double-stator permanent magnet synchronous motor. The second objective is weight minimization performed via a response surface methodology (RSM) with a uniform precision central composite design (UP-CCD) function. The optimal operation point, with a substantial population size, is reached using a Monto Carlo algorithm on the fitted model. The goodness-of-fit for the model is evaluated based on the modified Akaike information criterion (AICc) and the Bayesian information criterion (BIC) with a linear regression approach. To achieve these goals, a multi-level design procedure is proposed for the first time in machine design engineering. All the electromagnetic forces of the machine such as normal, tangential, and centrifugal forces are calculated using 3-D transient finite element analysis (FEA). The outcome of the proposed rotor core optimization shows that the finalized shape of the studied core has significantly smaller weight and mechanical stress, while the electromagnetic performance of the machine has remained consistent with a pre-optimized machine.",
keywords = "Finite Element Analysis, Monte Carlo Algorithm, Multi-level Optimization, Response Surface Methodology, Stress Computation, Synchronous Machine",
author = "Pedram Asef and Perpina, {Ramon Bargallo} and Saeed Moazami and Lapthorn, {Andrew Craig}",
note = "Publisher Copyright: EU",
year = "2018",
doi = "10.1109/TEC.2018.2885977",
language = "English",
journal = "IEEE Transactions on Energy Conversion",
issn = "0885-8969",

}

RIS

TY - JOUR

T1 - Rotor Shape Multi-Level Design Optimization for Double-Stator Permanent Magnet Synchronous Motors

AU - Asef, Pedram

AU - Perpina, Ramon Bargallo

AU - Moazami, Saeed

AU - Lapthorn, Andrew Craig

N1 - Publisher Copyright: EU

PY - 2018

Y1 - 2018

N2 - This research presents a rotor shape multi-level-objective optimization designed to reduce the mechanical stress distribution in the rotor core of a double-stator permanent magnet synchronous motor. The second objective is weight minimization performed via a response surface methodology (RSM) with a uniform precision central composite design (UP-CCD) function. The optimal operation point, with a substantial population size, is reached using a Monto Carlo algorithm on the fitted model. The goodness-of-fit for the model is evaluated based on the modified Akaike information criterion (AICc) and the Bayesian information criterion (BIC) with a linear regression approach. To achieve these goals, a multi-level design procedure is proposed for the first time in machine design engineering. All the electromagnetic forces of the machine such as normal, tangential, and centrifugal forces are calculated using 3-D transient finite element analysis (FEA). The outcome of the proposed rotor core optimization shows that the finalized shape of the studied core has significantly smaller weight and mechanical stress, while the electromagnetic performance of the machine has remained consistent with a pre-optimized machine.

AB - This research presents a rotor shape multi-level-objective optimization designed to reduce the mechanical stress distribution in the rotor core of a double-stator permanent magnet synchronous motor. The second objective is weight minimization performed via a response surface methodology (RSM) with a uniform precision central composite design (UP-CCD) function. The optimal operation point, with a substantial population size, is reached using a Monto Carlo algorithm on the fitted model. The goodness-of-fit for the model is evaluated based on the modified Akaike information criterion (AICc) and the Bayesian information criterion (BIC) with a linear regression approach. To achieve these goals, a multi-level design procedure is proposed for the first time in machine design engineering. All the electromagnetic forces of the machine such as normal, tangential, and centrifugal forces are calculated using 3-D transient finite element analysis (FEA). The outcome of the proposed rotor core optimization shows that the finalized shape of the studied core has significantly smaller weight and mechanical stress, while the electromagnetic performance of the machine has remained consistent with a pre-optimized machine.

KW - Finite Element Analysis

KW - Monte Carlo Algorithm

KW - Multi-level Optimization

KW - Response Surface Methodology

KW - Stress Computation

KW - Synchronous Machine

UR - http://www.scopus.com/inward/record.url?scp=85058153339&partnerID=8YFLogxK

U2 - 10.1109/TEC.2018.2885977

DO - 10.1109/TEC.2018.2885977

M3 - Article

AN - SCOPUS:85058153339

JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

SN - 0885-8969

ER -