2015
DOI: 10.11591/ijpeds.v6.i3.pp486-497
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Numerical Method for Power Losses Minimization of Vector-Controlled Induction Motor

Abstract: The paper devoted to energy efficiency maximizing problem of the induction motor under part-load conditions. The problem is formulated as the minimization of ohmic losses power as a function from flux-producing current in field-oriented motor operation. Control input prefiltering which transforms the dynamic time-varying optimization problem to stationary one is introduced. Update rule for control variable is proposed which speeds-up the method convergence in comparison with linear variation of input. Finally … Show more

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Cited by 9 publications
(6 citation statements)
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“…The general expressions of the conduction thermal resistance (Rcond) and one of the convection thermal resistance (Rconv) are respectively given by Equations (1) and (2). 1( 2)Where: e is the distance between the point masses, S is the interface area, λ is the heat conductivity, Sc is the cooling cross section between the two regions and h is the convection coefficient calculated from proven empirical dimensionless analysis algorithms.…”
Section: Lumped-circuit Of the Motormentioning
confidence: 99%
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“…The general expressions of the conduction thermal resistance (Rcond) and one of the convection thermal resistance (Rconv) are respectively given by Equations (1) and (2). 1( 2)Where: e is the distance between the point masses, S is the interface area, λ is the heat conductivity, Sc is the cooling cross section between the two regions and h is the convection coefficient calculated from proven empirical dimensionless analysis algorithms.…”
Section: Lumped-circuit Of the Motormentioning
confidence: 99%
“…As an illustration, Figure 6 shows the temperature evolution of the stator coil (a) and the stator yoke (b) versus the stator copper losses carried out using lumped-circuit (1) and FE model (2). Shown results are the extrapolation of the three marked points in the mentioned figure, corresponding to an average ambient temperature of 29 °C and the calculation conditions itemized in Table 4.…”
Section: Static Analysismentioning
confidence: 99%
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“…In [12], the approach of minimizing the power losses in the stator to find the correct references for the controllers was employed. To find the set-point value, some studies have used numerical methods [13]. Others found the value using more heuristic techniques such as genetic algorithms or swarm algorithms [14].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, this model obviates computation time-consuming issue which was prevalent in past research [11]- [14]. The reason behind being less time-consuming is that this model does not need non-linear methods, including genetic algorithm (GA), artificial neural network (ANN), fuzzy systems and non-linear models reported in [15]. Past works [16]- [19] required especial requirements such as special inverter, special drive algorithm, special modulation, and etc.…”
Section: Introductionmentioning
confidence: 99%