• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1213-1215
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• 2005

For synchronous motor, back-EMF and inductance have mainly effect on the characteristics of the motor. Therefore inductance and back-EMF ranges should be limited to obtain desirable characteristics, and it is possible to get design goal easily by adjusting those two parameters. In this paper EMF-Inductance Map(E-L Map) is presented in order to predict the performance of a motor in initial design. By applying the E-L map to design process of 1MW super-conducting synchronous motor it's usefulness is verified.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.3
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• pp.238-244
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• 2004

To monitor the torque of an induction motor using current, the accurate identification of the motor parameters is very important. In this study, the motor parameters such as rotor resistance, stator and rotor leakage inductance, mutual inductance are estimated for torque monitoring and indirect vector control. Estimated parameters are used to monitor the torque of vector controlled induction motor without any speed measuring sensor. Stator current is measured to estimate the magnetizing current which is used to calculate flux linkage, rotor velocity and motor torque. From the experiments, the proposed method shows a good estimation of the motor parameters and torque under the normal rotational speed.

• Journal of international Conference on Electrical Machines and Systems
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• v.2 no.3
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• pp.288-294
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• 2013

This paper introduces a novel method of on-line identifying the stator resistance and leakage inductance of dual three phase induction motor (DTPIM). According to the machine mathematical model, the stator resistance and leakage inductance can be estimated using the voltage and current values in harmonic subspace. Thus a method of voltage vector injection in harmonic subspace (VVIHS) is proposed, which causes currents in harmonic space. Then the errors between command and actual harmonic currents are utilized to regulate the machine parameters, including stator resistance and leakage inductance. The principle is presented and analyzed in detail. Experimental results prove the feasibility and validity of proposed method.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.434-440
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• 2023

This paper propose the method that measure the main system parameters for current control of a.c. motor adopting the vector control technique. The automatical method that tuning PI control gains for current control of servo motors are used frequently through the information of main system parameters, wire resistance and inductance. In this study, the techniques to measure these two system parameters through the control of 3-phase inverter are presented. These control and measuring method are implemented by measuring output phase current obtained as a results of the step current control using simple proportional feedback input. Moreover, this method use freewheeling current of inverter at special switching mode for measuring inductance. This analytic strategy is could measure and calculate the system parameters without the complex measurement algorithm and new additional measuring circuits. That is could measure the total resistance and total inductance including wiring resistance and conduction resistance of switching devices using real driving circuits to control the motors.

• The Transactions of the Korean Institute of Power Electronics
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• v.27 no.6
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• pp.507-514
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• 2022

This study proposes an optimal design process for a high-frequency transformer that has a large leakage inductance for dual-active-bridge converters. Notably, conventional design processes have large errors in designing leakage transformers because mathematically modeling the leakage inductance of such transformers is difficult. In this work, the geometric parameters of a shell-type transformer are identified, and finite element analysis(FEA) simulation is performed to determine the magnetization inductance, leakage inductance, and copper loss of various shapes of shell-type transformers. Regression models for magnetization and leakage inductances and copper loss are established using the simulation results and the machine learning technique. In addition, to improve the regression models' performance, the regression models are tuned by adding featured parameters that consider the physical characteristics of the transformer. With the regression models, optimal high-frequency transformer designs and the Pareto front (in terms of volume and loss) are determined using NSGA-II. In the Pareto front, a desirable optimal design is selected and verified by FEA simulation and experimentation. The simulated and measured leakage inductances of the selected design match well, and this result shows the validity of the proposed design process.

• Journal of Power Electronics
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• v.13 no.2
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• pp.264-274
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• 2013

A new sensorless position estimation method for switched reluctance motor (SRM) drives is presented in this paper. This method uses the change of the slope of the phase inductance to detect the aligned position. Since the aligned positions for successive electrical cycle of each phase are apart by a fixed mechanical angle $45^{\circ}$ in the case of 12/8 SRM, the speed of the machine can be calculated to estimate the rotor position. Since no prior knowledge of motor parameters is required, the method is easy for implementation without adding any additional hardware or memory. In order to verify the validity of this technique, effects such as changes in the advanced angle and phase lacking faults are examined. In addition, an inductance threshold based sensorless starting scheme is also proposed. Experimental results demonstrate the validity of the proposed method.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.844_845
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• 2009

Inductance and back EMF are important parameters in characteristic analysis of brushless motor. Inductance is constant value in surface permanent magnet type brushless motor. But it is change depending on the position of the rotor in interior permanent magnet type brushless motor. So this paper is considering for change inductance in characteristic analysis of brushless motor. Characteristic analysis is executed by the method that three-phase bipolar 120 degree commutation drive type.

• Proceedings of the KIPE Conference
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• 2004.07a
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• pp.244-248
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• 2004

This paper present a inductance calculation method of Switched Reluctance Motor (SRM) for torque characteristic analysis using analytical model. Recently, many approaches of inductance calculations are accomplished with Finite Element Analysis (FEM) and curve fitting method using complex nonlinear magnetic circuit model. It this paper, a simple method for inductance calculation is proposed based on the motor design parameters. The simulation result of the proposed method are compared with a FEM analysis for, and a good accuracy is obtained.

• Proceedings of the KIEE Conference
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• 1998.07a
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• pp.15-17
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• 1998

The position of LPM's mover can be estimated by the equivalent inductance variation with the mover's displacement. Hence, in this paper, we obtained the position detection signal by the calculation of equivalent inductance variation using the winding of linear pulse motor. And the various parameters for calculation of equivalent inductance variation were obtained by the design specification and finite element analysis of linear pulse motor. With this position signal, it is possible to calculate the driving numbers of steps, to confirm the state of step out and to determine the optimal switching angle, etc.

• Journal of Electrical Engineering and Technology
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• v.12 no.1
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• pp.110-116
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• 2017

This paper proposed a new real-time parameter tracking algorithm. Unlike the convenience algorithms, the proposed real-time parameter tracking algorithm can estimate parameters through three-phase voltage and electric current without coordination transformation, and does not need information on magnetic flux. Therefore, it can estimate parameters regardless of the change according to operation point and cross-saturation effect. In addition, as the quasi-real-time parameter tracking technique can estimate parameters through the four fundamental arithmetic operations instead of complicated algorithms such as numerical value analysis technique and observer design, it can be applied to low-performance DSP. In this paper, a new real-time parameter tracking algorithm is derived from three phase equation. The validity and usefulness of the proposed inductance estimation technique is verified by simulation and experimental results.