• The Transactions of the Korean Institute of Electrical Engineers B
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• v.48 no.4
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• pp.187-193
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• 1999

This study investigates the hysteresis phenomena of a Synchronous Reluctance Motor (SynRM) using coupled FEM and Preisach modeling. Preisach's model, which allows accurate prediction of hysteresis, is adopted in this procedure to provide a nonlinear solution. the computer simulation and experimental result for the i$\lambda$loci show the propriety of the proposed method.

• Proceedings of the KIEE Conference
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• 1998.11a
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• pp.55-57
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• 1998

A finite element analysis for a synchronous reluctance motor (SynRM) is presented with emphasis on the effect of saturation and iron losses. Preisachs model, which allows accurate prediction of iron losses, is adopted in this procedure to provide a nonlinear solution. This technique provide significant properties of proposed SynRM under the magnetic saturation and iron losses effect.

• Journal of the Korean Society for Railway
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• v.20 no.5
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• pp.588-594
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• 2017

Permanent magnet assisted synchronous reluctance motors (PMa-SynRM) show higher efficiency and power density compared to conventional induction motors for high speed railroad traction systems. Furthermore, 5-phase PMa-SynRMs have lower torque ripple and higher power density than 3-phase systems. Therefore, the 5-phase PMa-SynRM is suitable for high-speed railway traction systems. In this study, 3kw 3-phase and 5-phase PMa-SynRM models were optimized using lumped parameter model and genetic algorithm, and their characteristics were compared. The optimized models are fine-tuned using finite element analysis. The final models of the 3-phase and 5-phase PMa-SynRMs are fabricated and tested to verify the analysis results.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1113-1114
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• 2011

This paper is proposed design of high performance controller of SynRM drive using FNN and NNC. Also, This paper is proposed of designing fuzzy neural network controller(FNNC) which adopts the fuzzy logic to the artificial neural network(ANN). FNNC combines the capability of fuzzy reasoning in handling uncertain information and the capability of neural network in learning from processes. This controller is controlled speed using FNNC and model reference adaptive fuzzy control(MFC), and estimation of speed using ANN. The performance of proposed controller was demonstrated through response results. The results confirm that the proposed controller is high performance and robust under the variation of load torque and parameters.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1456-1458
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• 2005

In this paper, a new approach for the synchronous reluctance motor control which ensures producing maximum torque per ampere(MIPA) over the entire field weakening region is presented. In addition, This paper presents a speed sensorless control scheme of SynRM using artificial neural network. Also, by adjusting the base speed for the field weakening operation according to the flux level, the current and voltage limit, the smooth and precise transition into the field weakening operation can be achieved. The proposed scheme is verified validity through simulation.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.211-213
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• 2007

The electrical parameters are used to calculate gains in the current regulator as well as to determine the reference currents of speed controller in various control strategies of Synchronous Reluctance Motors (SynRMs). Many methods of measuring or estimating the electrical parameters of SynRM have been proposed by other authors. But almost papers only measure or estimate in the limited conditions without fully considering the effects of inverter, connecting wire and magnetic saturation. The parameter results are usually different from the real system parameters. The drive performance, therefore, can not be good if using inaccurate parameters. In this paper, several methods used to measure the electrical parameters are introduced. The first method is LCR meter. And then, a method determining inductances by measuring AC current and voltage from AC power supply is presented. A new method with high reliability is proposed to measure the electrical parameters of SynRM. The experiment results verify the effectiveness of the new proposed method.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.716_717
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• 2009

This paper deals with the characteristic analysis & optimum design of Permanent Magnet Assisted Synchronous Reluctance Motor(PMASynRM) for Premium Efficiency Performance. The focus of this paper is characteristic analysis of d and q-axis inductances and torque according to magnetizing quantity of interior permanent magnet for PMASynRM. The d and q-axis current component ratios, load angles of a PMASynRM are investigated quantitatively on the basis of the proposed analysis method and the experimental test. Comparisons are given with output characteristic curves of normal SynRM and those according to the load in PMASynRM, respectively. And optimum design of PMASynRM is performed by Response Surface Methodology(RSM).

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.53 no.10
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• pp.585-596
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• 2004

In this paper, finite element analysis for a PMASynRM is presented and the characteristic analysis of inductance and torque is performed under the effect of saturation. The focus of this paper is characteristic analysis of d and q-axis inductances and torque according to magnetizing quantity of interior permanent magnet for PMASynRM. The d and q-axis current component ratios, load angles of a PMASynRM are investigated quantitatively on the basis of the proposed analysis method and the experimental test. Comparisons are given with output characteristic curves of normal SynRM and those according to the load in PMASynRM, respectively And it is confirmed that the proposed model results in high output power performance.

• Proceedings of the KIPE Conference
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• 1997.07a
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• pp.55-59
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• 1997

In general, Vector control of synchronous reluctance motor(SynRM) is performed under the assumptions that all the parameters are constant and magnetizing flux saturation and iron loss effect can be negligible. Under these assumptions, however, torque nonlinear characteristic can be a possible performance deterioration when precision torque control is needed and operating speed is high. This paper proposes the method, in the Synchronous Reluctance Motor (SynRM), which select appropriate stator d,q-axis currents that the influence of iron core loss on the developed torque can be minimized, and shows that the proposed method is comparable to the algorithm which compensates the iron core loss effect.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1053-1054
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• 2011

This paper deals with the stator design solution of a synchronous reluctance motor (SynRM) with various slot numbers by loss & torque characteristics related to the slot open and teeth width using coupled Preisach modeling & FEM. The coupled Finite Elements Analysis (FEA) & Preisach model have been used to evaluate the nonlinear solution. Comparisons are given with characteristics of SynRM according to stator winding, slot number, slot open and teeth width variation.