Speedam 2010 2010
DOI: 10.1109/speedam.2010.5545154
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Optimum design of high speed single-sided linear induction motor to obtain best performance

Abstract: In this paper two different multi objective functions are developed. Each one will improve some of the motor characteristics, such as efficiency, power factor, end effect and motor weight. This procedure will be done by analytic method and using particle swarm optimization technique. In this paper a new equivalent circuit model has been used that include all specific effects of single-sided linear induction motors, and a new method will be suggested to evaluate intensity of end effect by help of equivalent cir… Show more

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Cited by 11 publications
(7 citation statements)
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“…Furthermore, it took the weight and end effect intensity into the objective function, applying PSO to optimise the efficiency, power factor, weight, and end effect of the SLIM. Bazghaleh et al [22] investigated the application of PSO to optimise a high-speed single-sided LIM. Zhao et al [23] utilised the GA to optimise the power factor and efficiency of a high-temperature superconducting LIM.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, it took the weight and end effect intensity into the objective function, applying PSO to optimise the efficiency, power factor, weight, and end effect of the SLIM. Bazghaleh et al [22] investigated the application of PSO to optimise a high-speed single-sided LIM. Zhao et al [23] utilised the GA to optimise the power factor and efficiency of a high-temperature superconducting LIM.…”
Section: Introductionmentioning
confidence: 99%
“…been discussed in the literature [10]- [14]. The optimum design of LIM has been studied with different objective functions.…”
Section: Introductionmentioning
confidence: 99%
“…The efficiency and power factor of LIM has been improved through design optimization in [13]. Furthermore, [14] presented the influence of different parameters of LIM on its efficiency, power factor and end effect. The effect of different design variables such as number of poles, slot width, stack length and secondary Aluminum thickness has been discussed in [15].…”
Section: Introductionmentioning
confidence: 99%
“…A certain number of the dimension and material parameters need to be determined in the motor design, which is a multivariable, multiconstraint, and nonlinear multiobjective mathematical problem. In , the traditional magnetic circuit method and finite‐element method (FEM) were respectively applied to the optimal design of permanent magnet motor, but the precision was low, and the amount of calculation was large. Therefore, in order to improve the precision and reduce the amount of calculation, the research trend of replacing traditional methods with optimization methods that combine FEM and local or global optimization algorithm is gradually formed.…”
Section: Introductionmentioning
confidence: 99%