Global design optimization strategy of a synchronous reluctance machine for light electric vehicles

Nardo, Mauro Di; Galea, Michael; Gerada, Chris; Gerada, David

doi:10.1049/cp.2016.0253

Cited by 22 publications

(24 citation statements)

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“…The rotor geometries are randomly selected from the current GA population (major). An arithmetical operator has been applied to get the two new 'minor' solution for the crossover process using the following equation [22]:…”

Section: Optimisation Through Gamentioning

confidence: 99%

Influence of rotor cage resistance in torque ripple reduction for line start synchronous machines

Ganesan

Lenin

2019

IET Electric Power Applications

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The interaction of spatial harmonics of electrical loading and the rotor anisotropy causes torque ripple in line start synchronous reluctance motor (a type of synchronous motor). A novel design technique for torque ripple reduction is presented in this study. Initially, synchronous reluctance motor filled with conducting material inside the flux barrier (called cage barrier) is optimised using a genetic algorithm (GA) technique. The optimised design is further verified using finite element analysis (FEA) and tested. To reduce the ripple content, the rotor has been introduced with an additional d-axis cage. Six rotor structures with an additional cage have been designed and optimised using FEA. The numerical analysis results are compared for all rotor structures. The optimised rotor structures with and without d-axis cage are fabricated and tested. Experimental results reveal that the fabricated rotor with an additional cage has reduced torque ripple and high efficiency. Finally, the acoustics test is carried out for both the fabricated structures and results are compared.

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Section: Optimisation Through Gamentioning

confidence: 99%

Influence of rotor cage resistance in torque ripple reduction for line start synchronous machines

Ganesan

Lenin

2019

IET Electric Power Applications

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“…For the crossover process an arithmetical operator has been implemented to obtain the two new 'children' solution according to the following formula [20]:…”

Section: Genetic Optimisation Algorithmmentioning

confidence: 99%

“…Recently, a new approach has been adopted in the literature for the optimum design of SyncRel machines, combining finite element analysis (FEA) with artificial intelligence (AI) techniques [18][19][20][21][22][23][24][25]. In [19] the geometry of a three-layer and a five-layer flux barrier rotor has been optimised using different AI techniques: genetic algorithms (GAs), differential evolution (DE) and simulated annealing (SA).…”

Section: Introductionmentioning

confidence: 99%

“…Obtained results from each approach have been compared from the point of view of regarding the quality of the final design and computational time. Later a similar study has been done by the same authors in [20] using GAs in order to optimise the layer heights and air‐gap angular position of circular and U‐shaped flux barrier geometries. The best SyncRel machine geometries obtained in [19, 20] were manufactured and compared to a state‐of‐the‐art motor design validating the presented optimisation techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Later a similar study has been done by the same authors in [20] using GAs in order to optimise the layer heights and air‐gap angular position of circular and U‐shaped flux barrier geometries. The best SyncRel machine geometries obtained in [19, 20] were manufactured and compared to a state‐of‐the‐art motor design validating the presented optimisation techniques. The motivation of the proposed paper is provided by the necessity of improving the overall performances of a SyncRel machine eliminating the skewing process but starting from an existing structure with the skewed rotor.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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Analytical modelling of synchronous reluctance motor including non‐linear magnetic condition

Naseer

Kallaste

Asad

et al. 2022

IET Electric Power Appl

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This paper presents an analytical modelling technique based on modified winding function and co‐energy analysis, for characterisation of synchronous reluctance machines, in conjunction with a hybrid algorithm for mapping of the machine's operating point on BH curve and the corresponding performance parameters in non‐linear magnetic condition. The model successfully provides the mean torque and the torque profiles of a synchronous reluctance motor as a function of input current and load‐angle in the magnetic linear and non‐linear conditions. The obtained results of this proposed model are compared with finite‐element‐analysis (FEA) based commercial design software Simcentre‐MAGNET. The comparison proves this model's capability to estimate the machine's performance parameters with considerable accuracy from an already established design analysis technique, FEA. The proposed modelling technique requires only a fraction of simulation runtime when compared to other design analysis techniques. Considering the accuracy of this modelling technique and the least requirement of computation resources and simulation time, this model can be used as an initial iterative‐design tool for mass personalised, additively manufactured electrical machines where rapidness of the iterative design analysis tool is of paramount importance.

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Global design optimization strategy of a synchronous reluctance machine for light electric vehicles

Cited by 22 publications

References 0 publications

Influence of rotor cage resistance in torque ripple reduction for line start synchronous machines

Influence of rotor cage resistance in torque ripple reduction for line start synchronous machines

Synchronous reluctance machine geometry optimisation through a genetic algorithm based technique

Analytical modelling of synchronous reluctance motor including non‐linear magnetic condition

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