Integrated Starter Generator: The Need for an Optimal Design and Control Approach. Application to a Permanent Magnet Machine

Chédot, Laurent; Friedrich, Guy; Biedinger, J.-M.; Macret, P.

doi:10.1109/tia.2006.889900

Cited by 55 publications

(19 citation statements)

References 30 publications

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“…To consider the local constrained optimization of the d-axis current at each operating point based on [18], for objective P opt. (i) in each operating point, the d-axis current i d,i should be evaluated.…”

Section: A Optimization Constraintsmentioning

confidence: 99%

Multiobjective Design Optimization Using Dual-Level Response Surface Methodology and Booth's Algorithm for Permanent Magnet Synchronous Generators

Asef

Perpiñá

Barzegaran

et al. 2018

IEEE Trans. Energy Convers.

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Abstract-This paper studies a dual-level response surface methodology (DRSM) coupled with Booth's algorithm using a simulated annealing (BA-SA) method as a multiobjective technique for parametric modeling and machine design optimization for the first time. The aim of the research is for power maximization and cost of manufacture minimization resulting in a highly optimized wind generator to improve small power generation performance. The DRSM is employed to determine the best set of design parameters for power maximization in a surface-mounted permanent magnet synchronous generator with an exterior-rotor topology. Additionally, the BA-SA method is investigated to minimize material cost while keeping the volume constant. DRSM by different design functions including mixed resolution robust design, full factorial design, central composite design, and box-behnken design are applied to optimize the power performance resulting in very small errors. An analysis of the variance via multilevel RSM plots is used to check the adequacy of fit in the design region and determines the parameter settings to manufacture a high-quality wind generator. The analytical and numerical calculations have been experimentally verified and have successfully validated the theoretical and multiobjective optimization design methods presented.Index Terms-Dual response surface methodology, Booth's algorithm, synchronous machine, finite element analysis, multiobjective optimization.

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Section: A Optimization Constraintsmentioning

confidence: 99%

Multiobjective Design Optimization Using Dual-Level Response Surface Methodology and Booth's Algorithm for Permanent Magnet Synchronous Generators

Asef

Perpiñá

Barzegaran

et al. 2018

IEEE Trans. Energy Convers.

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“…In [3], an enhanced control strategy of an open-winding PMM as a S/G with the inverter-rectifier topology was proposed to overcome the shortcomings of narrow speed range, and low power factor of traditional PMM. In [4], an optimal design and control of PMM-based SG was proposed to allow a wide constant power zone operation with relatively high efficiencies. In [5], a new PMM has been designed and implemented as S/G for HEVs.…”

Section: Introductionmentioning

confidence: 99%

Stability assessment of a high speed permanent magnet machine based aircraft electrical power system

Gao

Yeoh

Hill

et al. 2016

2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.uk Stability Assessment of a High Speed Permanent Magnet Machine Based Aircraft Electrical Power System AbstractStarting an aircraft engine with an electrical machine has been one of the major trends for future aircraft. This paper studies the stability of a permanent-magnet machine (PMM) based aircraft starter/generator (S/G) system. Using control-to-output transfer functions, the stability analysis of this S/G system is thoroughly studied. The impact of the key parameters including the control parameters is analysed. Simulation and experimental results support the analytical result.

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“…The choice of the optimization variables are bound to the specification book whereas the selection of optimization algorithms is generally related to the designer's experience [1]. Publications propose either the use of rules of art for determining some design variables [8] along with a deterministic algorithm (sequential quadratic programming...) or specific stochastic algorithms (Monte Carlo [9], genetic..) [10].…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of this paper is to present an improved multidomain model of the IPM ISG developed in [1] to be integrated in an optimizer. In fact, a map of the flux density in the machine including cross-saturation effects is obtained with a 2D finite element models and dq frame theory.…”

Section: Introductionmentioning

confidence: 99%

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Combination of Finite Element and Analytical Models in the Optimal Multi-Domain Design of Machines : Application to an Interior Permanent Magnet Starter Generator

Legranger

Friedrich

Vivier

et al. 2008

2008 IEEE Industry Applications Society Annual Meeting

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This paper proposes to apply optimal multiphysic models to the design of highly constrained electrical machines, such as interior permanent magnet machine (IPM) intended for an automotive integrated starter generators (ISG). One of the main problems in the use of such optimal approaches remains the accuracy of the models used by the optimizer. In a previous paper [1], we proposed a design model linked to three strong hypotheses : 1) Iron losses are calculated according to the flux density fundamental (sinusoidal approach) 2) Flux densities are estimated with a saturated but decoupled d,q reluctant circuit model neglecting the cross saturation effect 3) Thermal states are indirectly treated with a current density limit. The present paper improves theses models by using first the finite element method (FEM) for the determination of flux and iron losses in the machine and then an equivalent thermal steady state lumped parameter network. These models are included in the optimization loop and so are evaluated at each iteration. The optimization method uses standard sequential quadratic programming algorithm (SQP) and Sequential Simplex algorithm. A comparison between the design of an IPM machine with the previous model and the new one will be performed.

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Integrated Starter Generator: The Need for an Optimal Design and Control Approach. Application to a Permanent Magnet Machine

Cited by 55 publications

References 30 publications

Multiobjective Design Optimization Using Dual-Level Response Surface Methodology and Booth's Algorithm for Permanent Magnet Synchronous Generators

Multiobjective Design Optimization Using Dual-Level Response Surface Methodology and Booth's Algorithm for Permanent Magnet Synchronous Generators

Stability assessment of a high speed permanent magnet machine based aircraft electrical power system

Combination of Finite Element and Analytical Models in the Optimal Multi-Domain Design of Machines : Application to an Interior Permanent Magnet Starter Generator

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