Multi-objective Pareto and GAs nonlinear optimization approach for flyback transformer

Barg, Sobhi; Bertilsson, Kent

doi:10.1007/s00202-019-00836-3

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…The design of the magnetic devices involves several parameters and variables like the core shape, the magnetic material, the number of turns, the switching frequency, the flux density and the temperature. What characterizes these variables is their interdependence and their non-linear relationship with the core loss equations [1]. Core loss are also very dependent on the excitation waveform and the duty cycle [2][3].…”

mentioning

confidence: 99%

Core Loss Calculation of Symmetric Trapezoidal Magnetic Flux Density Waveform

Barg¹,

Bertilsson²

2021

IEEE Open J. Power Electron.

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Existing empirical core loss models for symmetric trapezoidal flux waveform (TzFW) still suffer some issues such as the inaccuracy and the complexity. These issues are mainly due to the lack of an accurate model of the relaxation loss generated during the offtime. This paper aims to understand the relaxation loss and develop an accurate model using the superposition technique. The developed model gives an accurate prediction of the on-time loss and the relaxation loss and shows the dependency of each on the duty cycle. The research shows that the core loss at low duty cycle is several times the core loss at full duty cycle. The developed model is verified with experimental results and compared to the Improved Steinmetz equation (ISE). The model error is reduced to lower than 15% compared to 50% of the ISE. Finally, an easy method using multiplication factors with the ISE model is given to simplify the developed model.

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confidence: 99%

Core Loss Calculation of Symmetric Trapezoidal Magnetic Flux Density Waveform

Barg¹,

Bertilsson²

2021

IEEE Open J. Power Electron.

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“…In order to obtain the optimal stator slot and teeth dimensions for the considered five-phase stators (40 and 60 slots), an optimization algorithm is used. Optimal design for electric machines based on finite-element magnetic simulation consumes a lot of time; therefore, choosing a suitable optimization technique is necessary to obtain an optimal design for the electric machines with a reduced time computation [29][30][31][32].…”

Section: Optimized Statormentioning

confidence: 99%

Refurbishing three-phase synchronous reluctance machines to multiphase machines

et al. 2020

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Refurbishing electrical machines to have a higher performance and/or reliability is a clear trend in the circular economy. This paper investigates the gain in efficiency, torque density and reliability with replacing the windings and the iron of the stator of existing three-phase synchronous reluctance machines (SynRMs), resulting in a multiphase machine. The stator housing, shaft, bearings and the rotor are not changed, to keep the cost of refurbishing low. As the housing and rotor are kept, logical constraints are to have the same inner and/or outer stator diameters, air gap length and axial length. In the new windings, an identical copper volume is considered as a constraint. An optimization technique is coupled to 2D finite element method to select the optimal slot dimensions. Case studies showed that it is possible to replace the stator of existing three-phase SynRMs with a better performance multiphase one. It is found that the average torque, efficiency and power factor of the five-phase SynRM are increased by 11.78%, 0.72% and 5.54%, respectively, compared to a three-phase SynRM at rated conditions. At higher speeds (three times rated value), the efficiency and average torque are greatly improved by about 3.64% and 33.67%, respectively, compared to the three-phase SynRM. Moreover, a faulty case of one phase opened is also investigated. The five-phase SynRM works at 75.45% of the healthy rated torque of the three-phase SynRM, whereas the three-phase SynRM works at only 43%. Measurements on an existing 5.5-kW, three-phase SynRM confirm the observed results.

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“…In addition, the design keeps the same current density and the same iron volume. A multi-objective optimization (MOO) or Pareto optimization has showed its efficient in the design of different electrical machine [20][21][22]. Nelder-Mead method introduced in [22] is MOO based on single criterion method.…”

Section: Selection Of Stator Dimensionsmentioning

confidence: 99%

Replacing Stator of Existing Three-phase Synchronous Reluctance Machines towards Improved Multiphase Machines Performance

Tawfiq

Ibrahim

El-Kholy

et al. 2020

2020 International Conference on Electrical Machines (ICEM)

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This paper researches the possibility of changing the stator of existing three phase synchronous reluctance motors to achieve improved multiphase machines performance, keeping the same rotor. An optimal design for the stator is proposed. Thus, several geometrical constraints are imposed such as fixed inner stator bore diameter, air gap length and axial stack length. Analysis and discussion to select the optimal dimensions of the proposed multiphase stator with no extra cost in both iron and copper are provided, considering a main goal to achieve a higher torque gain and a minimum torque ripple. By means of finite element magnetic simulation, two stator designs (60 and 40 slots) are simulated and compared with the 3-phase (36 slots) SynRM. It has been found that a 5-phase SynRM with 60 slots stator gives better performance compared to a 3-phase SynRM: the average torque is increased by 11.78%, the efficiency and the power factor are increased by around 0.72% and 5.54% respectively compared to 3-phase. However, the torque ripple becomes slightly higher, but within the permitted range (<10%). This proves that it is possible to use the same rotor of existing 3-phase SynRMs and design a multiphase stator to achieve an improved machine performance.

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Multi-objective Pareto and GAs nonlinear optimization approach for flyback transformer

Cited by 7 publications

References 32 publications

Core Loss Calculation of Symmetric Trapezoidal Magnetic Flux Density Waveform

Core Loss Calculation of Symmetric Trapezoidal Magnetic Flux Density Waveform

Refurbishing three-phase synchronous reluctance machines to multiphase machines

Replacing Stator of Existing Three-phase Synchronous Reluctance Machines towards Improved Multiphase Machines Performance

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