Multiobjective design optimization of air-core linear permanent-magnet synchronous motors for improved thrust and low magnet consumption

Vaez‐Zadeh, Sadegh; Isfahani, Arash Hassanpour

doi:10.1109/tmag.2005.863084

Cited by 89 publications

(39 citation statements)

References 10 publications

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“…Developed electromagnetic torque is finally obtained as (Vaez-Zadeh and Isfahani, 2006;Isfahani and Vaez-Zadeh, 2007):…”

Section: Torque Calculationsmentioning

confidence: 99%

“…Therefore, an alternative harmonic index may be defined as in below (Vaez-Zadeh and Isfahani, 2006;Isfahani and Vaez-Zadeh, 2007), whereby torque ripples can be more effectively minimized due to elimination of non-influential harmonics of B r :…”

Section: Harmonic Indicesmentioning

confidence: 99%

“…The existing model (Vaez-Zadeh and Isfahani, 2006;Isfahani and Vaez-Zadeh, 2007) does not take into account the PM coercivity as well as the reluctance of the iron parts. Thus, to illustrate the superiorities of the proposed model over the existing model, these parameters are swept, respect to which the amplitude of the air-gap flux density …”

Section: Model Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Simple nonlinear MEC-based model for sensitivity analysis and genetic optimization of permanent-magnet

Mohammadi

Vahidi

Mirsalim

et al. 2015

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -The purpose of this paper is to develop an effective, yet simple analytical framework for optimization of permanent-magnet synchronous machines. Also, single/multi-objective optimizations are performed for a case-study machine with surface-mounted permanent magnets. Design/methodology/approach -First, an accurate magnetic equivalent circuit is developed which takes all the material such as iron saturation and PM parameters into account. Then, through a Fourier analysis, it is combined with the d-q model of PM synchronous machines to achieve an optimization framework including the developed torque, back-EMF and a number of design considerations. Finally, a genetic algorithm (GA) is employed in the single/multi-objective design optimizations, which offers several design characteristics upon different desired outcomes. Findings -An analytical design framework for the optimization of permanent-magnet synchronous machines is developed in this paper that can effectively account for all material properties such as iron saturation and PM characteristics, and take into account the design considerations, all of which are shown as superiorities of the proposed approach over the existing method. In addition, the proposed framework is relatively simpler in terms of implementing. The model is verified by employing finite element method. Moreover, sensitivity analysis is carried out to investigate the influence of the design parameters on the machine performance, which provides valuable information for the designer of such devices. Finally, a GA is utilized to perform single/multi-objective optimization schemes whose objectives are minimizing the torque ripples, back-EMF total harmonic distortion and PM volume. Originality/value -The proposed framework is new approach that could be employed in the design optimization of PM synchronous machines. Contrary to existing method, it is simpler and more effective in taking the material properties such as iron saturation and PM characteristics into account.

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“…Developed electromagnetic torque is finally obtained as (Vaez-Zadeh and Isfahani, 2006;Isfahani and Vaez-Zadeh, 2007):…”

Section: Torque Calculationsmentioning

confidence: 99%

Section: Harmonic Indicesmentioning

confidence: 99%

Section: Model Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Simple nonlinear MEC-based model for sensitivity analysis and genetic optimization of permanent-magnet

Mohammadi

Vahidi

Mirsalim

et al. 2015

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

View full text Add to dashboard Cite

show abstract

“…The individual solutions constituting the population are randomly selected at each step. There are three main rules used by genetic algorithm to form the next generation from the current population; selection rules, crossover rules, and mutation rules [28].…”

Section: Components Sizing Optimization Based On Genetic Algorithmmentioning

confidence: 99%

Genetic algorithm based optimization on modeling and design of hybrid renewable energy systems

Ismail

Moghavvemi

Mahlia

2014

Energy Conversion and Management

161

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“…A novel design process to improve design quality by Space Harmonics Field analysis of EMC has been presented [3]. The improvements of thrust density has been analyzed by optimizing magnet dimensions and coil width as design variables [4]. Comparison of the thrust per copper losses of these machines is done by deriving thrust per copper-mass factors for the different windings [5].…”

Section: Introductionmentioning

confidence: 99%

Design and analysis of ironless linear electromagnetic launcher with high thrust density for space platform

Tang

Kou

et al. 2012

2012 16th International Symposium on Electromagnetic Launch Technology

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As further research on space exploration and space platform technology, space-based electromagnetic launchers (EML) have aroused widespread attention and interest. This paper presents analysis and optimization of ironless permanent magnet linear synchronous motor (ILPMLSM) which easily meet requirements such as fast response, light weight, small volume and high precision positioning for space-based EML. Electromotive thrust and thrust per volume of ILPMLSM with non-overlapping and overlapping air-cored windings are compared based on the analysis of the magnetic field. It is shown that the overlapping winding machine has certain important advantages compared to the non-overlapping winding machine for space platform. Further, we propose a design optimization to improve thrust density and thrust ripple simultaneously by optimizing structure and dimensions of magnets and windings.The design optimization is verified by 2-D Finite Element analysis.Index Terms-linear electromagnetic launchers, overlapping windings, thrust density, optimization, Halbach permanentmagnet array,finite-element analysis (FEA).

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Multiobjective design optimization of air-core linear permanent-magnet synchronous motors for improved thrust and low magnet consumption

Cited by 89 publications

References 10 publications

Simple nonlinear MEC-based model for sensitivity analysis and genetic optimization of permanent-magnet

Simple nonlinear MEC-based model for sensitivity analysis and genetic optimization of permanent-magnet

Genetic algorithm based optimization on modeling and design of hybrid renewable energy systems

Design and analysis of ironless linear electromagnetic launcher with high thrust density for space platform

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