Flux barrier and skew design optimisation of reluctance synchronous machines

Howard, Eduan; Kamper, Maarten J.; Gerber, Stiaan

doi:10.1109/icelmach.2014.6960332

Cited by 11 publications

(2 citation statements)

References 17 publications

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“…Despite these advantages, the main drawbacks of SyncRel machines are the poor power factor and high torque ripple [11]. Therefore, the proper SyncRel machine design is an open challenge for researchers to minimise torque oscillations through the rotor skewing, suitable choice of the number of applied flux barriers with respect to stator slots configuration and/or barrier geometry optimisation [11][12][13][14][15][16][17][18]. In [17], an analysis regarding asymmetrical barriers was presented in detail, hence this paper focuses on the optimisation of the barriers that are symmetric with regards to the same arch centre point (see Fig.…”

Section: Introductionmentioning

confidence: 99%

Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique

Ruba

Jurca

Czumbil

et al. 2018

IET Electric Power Applications

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In this study, the design optimisation of a synchronous reluctance machine for light electric vehicles is proposed, to increase efficiency and reduce torque ripples. The existing machine was structurally optimised, using dedicated genetic algorithms, replacing only the rotor and keeping the stator and it's winding untouched. Starting from the original design of the rotor implemented in Flux2D, a finite element analysis software, and the genetic algorithm optimisation implemented in Matlab, a complex co-simulation was accomplished to obtain a rotor architecture that increases the machine's performances and decreases the torque ripples. By this, performing rotor skewing is not needed any more, hence the torque loss due to it was cancelled. The optimised rotor design increases the machine performances by higher mean torque, no skewing, <8% torque ripples, higher efficiency and better inductance characteristics. Comparative results obtained both in simulations and experimental measurements prove positive outcomes of the optimisation process.

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Section: Introductionmentioning

confidence: 99%

Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique

Ruba

Jurca

Czumbil

et al. 2018

IET Electric Power Applications

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“…Gamba et al drew on DE to solve a multi-objective optimization problem, where the average torque and torque ripple served as objective functions and the rotor barrier shape is used for input [7], while Howard et. al employed asymmetric flux barriers to maximize the average torque and minimize the torque ripple [8,9]. Bianchi et al reported on the use of genetic algorithms to minimize the torque ripple in SynRel and PM assisted SynRel motors.…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Optimization of Synchronous Reluctance Machines Using CE-FEA and Differential Evolution

Wáng

Ionel

Rallabandi

et al. 2016

IEEE Trans. on Ind. Applicat.

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A novel automated design optimization procedure based on the application of an ultra-fast computationally-efficient finite element method (CE-FEA) for current regulated synchronous reluctance machines supplied from power electronic converters is proposed. The CE-FEA uses only a minimum number of magnetostatic solutions in order to comprehensively evaluate performance, including ripple torque and core losses. The optimization algorithm is based on differential evolution and uses as independent variables the torque angle and ratios for a generic rotor topology with four flux barriers. Two problems, one with two and another one with three objectives, are studied and results compared. Global performance indices and objectives incorporate the effect of average torque output, losses, torque ripple, and power factor at fixed cost. It is shown that through optimal studies with more than 5,000 candidate designs, high output power, high efficiency, and low torque ripple can be achieved, while the relatively low power factor remains an inherent limitation of synchronous reluctance technology. Simulations are validated versus tests from a 10hp 1,800rpm prototype.

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Analytical design, electromagnetic field analysis and parametric sensitivity analysis of an external rotor permanent magnet-assisted synchronous reluctance motor

CheshmehBeigi

Behroozi

2020

Electr Eng

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Flux barrier and skew design optimisation of reluctance synchronous machines

Cited by 11 publications

References 17 publications

Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique

Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique

Large-Scale Optimization of Synchronous Reluctance Machines Using CE-FEA and Differential Evolution

Analytical design, electromagnetic field analysis and parametric sensitivity analysis of an external rotor permanent magnet-assisted synchronous reluctance motor

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