2006 12th International Power Electronics and Motion Control Conference 2006
DOI: 10.1109/epepemc.2006.4778548
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Design Optimization of an Axial Flux PM Synchronous Machine: Comparison Between DIRECT Method and GAs Method

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Cited by 9 publications
(4 citation statements)
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“…In order to compensate their goal, have been applied a number of optimization techniques such as genetic algorithms, pattern search, sequential nonlinear programming, response surface, etc. [10][11][12]. Among them, the response surface method has been performed in many designs such as PM synchronous motor, brushless dc motor, double fed induction motor, linear machine, reluctance motor, actuators, transformers .…”
Section: Introductionmentioning
confidence: 99%
“…In order to compensate their goal, have been applied a number of optimization techniques such as genetic algorithms, pattern search, sequential nonlinear programming, response surface, etc. [10][11][12]. Among them, the response surface method has been performed in many designs such as PM synchronous motor, brushless dc motor, double fed induction motor, linear machine, reluctance motor, actuators, transformers .…”
Section: Introductionmentioning
confidence: 99%
“…However, this result is not surprising. Indeed, it has been show elsewhere (Azzouzi et al, 2006) that the maximum value of the torque to weight ratio is obtained for values of k d around 0.85 and, in this chapter, the weight must be minimized. Second, the optimal value of J is around 5 A/mm 2 as shown in Fig.…”
Section: Design Examplementioning
confidence: 99%
“…Among the various researches, many authors have published papers about the optimal design of in-wheel motors for EVs or wheelchairs (Espanet et al, 1999;Nilssen et al, 2005;Tseng & Chen 1997;Yang et al, 2004) as well as about the optimization of AFPM motors (Azzouzi et al, 2006;Chun et al, 2007;Cvetkovski & Petkovska, 2002). In this chapter, the objective is to optimize simultaneously one of the four in-wheel motors of an EV and its own VSI in terms of weight and power loss.…”
mentioning
confidence: 99%
“…In this context, the aim of this paper is to propose an optimization of the motor-compressor by a deterministic (i.e., the CG) and stochastic (i.e., the PSO) algorithm respectively, in order to compare both. The method consists in providing an optimization of the electrical motor based on efficiency/mass/efficiency-mass criterion [7], [8], [9], [10].…”
Section: Introductionmentioning
confidence: 99%