The Experts below are selected from a list of 41631 Experts worldwide ranked by ideXlab platform
Kwanghee Nam - One of the best experts on this subject based on the ideXlab platform.
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sensorless control of pmsm in a high speed region considering Iron Loss
IEEE Transactions on Industrial Electronics, 2015Co-Authors: Junwoo Kim, Ilsu Jeong, Kwanghee Nam, Jaesik Yang, Tae Won HwangAbstract:In a very high-speed operation (≥ 50 kr/min), the Iron Loss is not sufficiently small to be neglected. The Iron Loss alters the angle and magnitudes of the back electromotive force (EMF). The resistance representing the Iron Loss is calculated a priori from a finite-element analysis and incorporated into a lookup table, because it is dependent on the current magnitudes. Utilizing the extended EMF method, a sensorless control method is developed for a model that takes the Iron Loss into account. The proposed method overcomes the angle difference in the high-speed region, and the performance is demonstrated through simulation and experimental results.
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a vector control scheme for ev induction motors with a series Iron Loss model
IEEE Transactions on Industrial Electronics, 1998Co-Authors: Jinhwan Jung, Kwanghee NamAbstract:Electric vehicle (EV) motors are characterized by their low inductance and high current density, so that they run at high speed and produce a high starting torque. Due to the low inductance coil design, the current ripple caused by pulsewidth modulation (PWM) switching makes a significant amount of eddy-current Loss and hysteresis Loss, especially in high-speed operation. If one simply neglects the Iron Loss, the overall vector controller is detuned, resulting in an error in the torque control. The Iron Loss is modeled, in general, by a parallel resistor R/sub M/ to the magnetizing inductor L/sub M/. The authors propose a series R-L model that accounts for the effects of the Iron Loss. A major advantage of the series model is that it does not increase the number of state variables in developing a vector control. In this paper, they derive a rotor-flux-oriented flux error, orientation angle error, and torque error caused by Iron Loss. Finally, they demonstrate the effectiveness of the proposed control method through computer simulation and experimental results.
M. Pastorelli - One of the best experts on this subject based on the ideXlab platform.
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Iron Loss in rotor-flux-oriented induction machines: identification, assessment of detuning, and compensation
IEEE Transactions on Power Electronics, 1996Co-Authors: Elena Levi, M. Sokola, Aldo Boglietti, M. PastorelliAbstract:Iron Loss, traditionally ignored in vector control schemes, has recently attracted more attention as a cause of detuned operation of rotor-flux-oriented induction machines. Appropriate mathematical tools, that enable evaluation of detuning due to Iron Loss, have become available, and these have been used so far only in assessment of detuning for rated speed operation in the constant flux region. The available studies are based on the measurement of Iron Losses with voltage supply of rated frequency. This paper attempts to provide a more detailed treatment of Iron Loss induced detuning in rotor-flux-oriented induction machines by presenting at first an experimental method of Iron Loss identification over the entire frequency (speed) range of interest. The experimental results enable calculation of the equivalent Iron Loss resistance that is subsequently used in evaluation of detuning. The regimes dealt with encompass motoring and braking operation in the base speed range and motoring in the field-weakening region up to the five times rated speed. It is shown that detuning in the base speed range will be the highest at rated speed operation and will exhibit opposite trends in motoring and braking regions. Detuning in the field-weakening region is found to be significantly in excess of the one at rated speed, provided that the machine operates at high speeds with relatively light loads. As compensation of Iron Loss seems to be necessary in this case, the concluding part of the paper presents a novel rotor flux estimator that utilizes experimentally identified equivalent Iron Loss resistance values and enables elimination of detuning that is otherwise present. The estimator is a modified version of the well-known scheme that operates on the basis of measurement of stator currents and rotor speed (position). Its ability to compensate for Iron Loss is verified by simulation.
Hitoshi Ishii - One of the best experts on this subject based on the ideXlab platform.
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evaluation of Iron Loss of ac filter inductor used in three phase pwm inverters based on an Iron Loss analyzer
IEEE Transactions on Power Electronics, 2016Co-Authors: Hiroaki Matsumori, Toshihisa Shimizu, Koushi Takano, Hitoshi IshiiAbstract:The authors have proposed two methods for Iron Loss evaluation of the ac filter inductor used in a pulsewidth modulation (PWM) inverter. The first method is a Loss map method, which can be used for the Iron Loss calculation of the ac filter inductor without using a real PWM inverter, and the second method is an Iron Loss analyzer (ILA), which can measure the Iron Loss of the ac filter inductor during every switching period on a real PWM inverter. In this paper, the measurement results obtained using the ILA and the results calculated using the Loss map method on both the single-phase and three-phase inverters are compared. The calculated Iron Loss of the ac filter inductor on the three-phase PWM inverter is found to have a relatively large error for certain PWM pulse conditions. In order to reduce the calculation error, the authors propose a modified Loss calculation method and demonstrate that the calculation error is reduced to less than 2%.
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Verification of Iron Loss Calculation Method Using a High-Precision Iron Loss Analyzer
Electrical Engineering in Japan, 2015Co-Authors: Toshihisa Shimizu, Koushi Takano, Keisuke Kakazu, Hitoshi IshiiAbstract:SUMMARY Because of the improved performance of power devices, the volume of the ac filter inductors used in high-frequency PWM inverters has been reduced. However, the temperature rise in the filter inductor due to this miniaturization has become more pronounced. Therefore, we have proposed an Iron Loss calculation method for the ac filter inductor. However, the accuracy of the value calculated via the Loss map method cannot be verified, because the Iron Loss arising during each switching period cannot be measured with conventional power measuring instruments. In order to resolve this problem, we developed an inductor Loss analyzer (ILA), which allows precise measurement of the Iron Loss in the inductor during each switching period. The accuracy of the calculation of Iron Loss in the filter inductor by the Loss map method was verified with the ILA. We found that the value calculated by the Loss map method differed slightly from the value measured with the ILA. However, these differences can be reduced if we take into account the accurate flux density calculation and the effect of the duty ratio of PWM pulses on the Loss. Finally, we verified that the Loss map method can provide accurate Iron Loss calculations.
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Comparison between single phase and three phase of PWM inverters in Iron Loss measurement
2012 15th International Power Electronics and Motion Control Conference (EPE PEMC), 2012Co-Authors: Hiroaki Matsumori, Toshihisa Shimizu, Koushi Takano, Hitoshi IshiiAbstract:The authors have previously proposed two methods for evaluation of the Iron Loss of the AC filter inductor used in a pulse width modulation (PWM) inverter. The first is a Loss map method based on a Loss-map of the magnetic materials, which can be used to calculate and predict Iron Loss without an actual circuit. The other is the inductor Loss analyzer (ILA) method, which can be used to directly measure and calculate Iron Loss for every one-switching in an actual circuit. Effectiveness of both methods was already verified on a single-phase PWM inverter, but has not yet been verified on a three-phase PWM inverter. In this paper, accuracy of the Iron Loss calculated by the Loss map method is verified and it is found that calculation error arises especially in the inductor used in three-phase inverters. The calculation error, however, can be reduced by introducing a revised calculation process of the Loss map method.
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Iron Loss calculation of AC filter inductor for three phase PWM inverter
2012 IEEE Energy Conversion Congress and Exposition (ECCE), 2012Co-Authors: Hiroaki Matsumori, Toshihisa Shimizu, Koushi Takano, Hitoshi IshiiAbstract:The authors have previously proposed two methods for evaluation of the Iron Loss of the AC filter inductor used in a pulse width modulation (PWM) inverter. The first is a Loss map method based on a Loss-map of the magnetic materials, which can be used to calculate and predict Iron Loss without an actual circuit. The other is the inductor Loss analyzer (ILA) method, which can be used to directly measure and calculate Iron Loss for every one-switching in an actual circuit. Effectiveness of both methods was already verified on a single-phase PWM inverter, but has not yet been verified on a three-phase PWM inverter. In this paper, accuracy of the Iron Loss calculated by the Loss map method is verified and it is found that calculation error arises especially in the inductor used in three-phase inverters. The calculation error, however, can be reduced by introducing a revised calculation process of the Loss map method.
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Iron Loss evaluation of AC filter inductor core in a PWM inverter
2009Co-Authors: Hirokazu Yamaji, Toshihisa Shimizu, Koushi Takano, Hitoshi IshiiAbstract:Iron Loss of an AC filter inductor used in a PWM inverter is discussed based on a dynamic minor loop method developed by the authors. A distinctive feature of the dynamic minor loop method is that the instantaneous Iron Loss of the AC filter inductor can be measured during every switching period of the inverter, and the instantaneous Iron Loss distribution during one cycle of the output frequency can be produced using this data. The shape of the distribution changes with both the modulation method of the inverter and the load conditions, so that this method is suitable for characterization of the Iron Loss. Iron Loss of the AC filter inductor can be categorized as two types; one type is high frequency Loss, which is caused by the switching ripple current, and the other is low frequency Loss caused by the low frequency output current. High frequency Loss is usually much higher than low frequency Loss; therefore, mainly the high frequency Loss was evaluated in this study. The instantaneous Iron Loss of an AC filter inductor and the total Loss under various conditions of the PWM inverter are measured, and the relationships between the output current and the Iron Loss, the DC-bus voltage and the Iron Loss, and the power factor and the Iron Loss are discussed.
Hiroaki Matsumori - One of the best experts on this subject based on the ideXlab platform.
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Iron Loss calculation under PWM inverter switching for SiFe steel materials
2019 IEEE Energy Conversion Congress and Exposition (ECCE), 2019Co-Authors: Hiroaki Matsumori, Shimizu Toshihisa, Takashi Kosaka, Nobuyuki MatsuiAbstract:This paper presents an Iron Loss calculation method for SiFe steel material under high-frequency current ripple due to PWM switching. The PWM switching produces dynamic minor loops on the BH plane, which cause Iron Loss. In this study, the improved Bertotti's physical model is used for Iron Loss calculation for dynamic minor loops in SiFe steel material. The calculated Iron Loss values are compared with the measured Iron Loss values. The model predicts the Iron Loss within an acceptable error. However, calculation errors are found when comparing the Iron Loss value for each dynamic minor loop. The reason for the calculation errors is that the measured Iron Loss varies if the flux density bias is different, even if the DC-bias has the same value. The calculation error occurs not only in the improved Bertotti's physical model but also in other methods such as improved Steinmetz equation because these methods do not take into account the flux density bias and/or the DC-bias characteristic.
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evaluation of Iron Loss of ac filter inductor used in three phase pwm inverters based on an Iron Loss analyzer
IEEE Transactions on Power Electronics, 2016Co-Authors: Hiroaki Matsumori, Toshihisa Shimizu, Koushi Takano, Hitoshi IshiiAbstract:The authors have proposed two methods for Iron Loss evaluation of the ac filter inductor used in a pulsewidth modulation (PWM) inverter. The first method is a Loss map method, which can be used for the Iron Loss calculation of the ac filter inductor without using a real PWM inverter, and the second method is an Iron Loss analyzer (ILA), which can measure the Iron Loss of the ac filter inductor during every switching period on a real PWM inverter. In this paper, the measurement results obtained using the ILA and the results calculated using the Loss map method on both the single-phase and three-phase inverters are compared. The calculated Iron Loss of the ac filter inductor on the three-phase PWM inverter is found to have a relatively large error for certain PWM pulse conditions. In order to reduce the calculation error, the authors propose a modified Loss calculation method and demonstrate that the calculation error is reduced to less than 2%.
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Comparison between single phase and three phase of PWM inverters in Iron Loss measurement
2012 15th International Power Electronics and Motion Control Conference (EPE PEMC), 2012Co-Authors: Hiroaki Matsumori, Toshihisa Shimizu, Koushi Takano, Hitoshi IshiiAbstract:The authors have previously proposed two methods for evaluation of the Iron Loss of the AC filter inductor used in a pulse width modulation (PWM) inverter. The first is a Loss map method based on a Loss-map of the magnetic materials, which can be used to calculate and predict Iron Loss without an actual circuit. The other is the inductor Loss analyzer (ILA) method, which can be used to directly measure and calculate Iron Loss for every one-switching in an actual circuit. Effectiveness of both methods was already verified on a single-phase PWM inverter, but has not yet been verified on a three-phase PWM inverter. In this paper, accuracy of the Iron Loss calculated by the Loss map method is verified and it is found that calculation error arises especially in the inductor used in three-phase inverters. The calculation error, however, can be reduced by introducing a revised calculation process of the Loss map method.
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Iron Loss calculation of AC filter inductor for three phase PWM inverter
2012 IEEE Energy Conversion Congress and Exposition (ECCE), 2012Co-Authors: Hiroaki Matsumori, Toshihisa Shimizu, Koushi Takano, Hitoshi IshiiAbstract:The authors have previously proposed two methods for evaluation of the Iron Loss of the AC filter inductor used in a pulse width modulation (PWM) inverter. The first is a Loss map method based on a Loss-map of the magnetic materials, which can be used to calculate and predict Iron Loss without an actual circuit. The other is the inductor Loss analyzer (ILA) method, which can be used to directly measure and calculate Iron Loss for every one-switching in an actual circuit. Effectiveness of both methods was already verified on a single-phase PWM inverter, but has not yet been verified on a three-phase PWM inverter. In this paper, accuracy of the Iron Loss calculated by the Loss map method is verified and it is found that calculation error arises especially in the inductor used in three-phase inverters. The calculation error, however, can be reduced by introducing a revised calculation process of the Loss map method.
David Howe - One of the best experts on this subject based on the ideXlab platform.
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Stator Iron Loss of tubular permanent magnet machines
Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting., 2004Co-Authors: Yacine Amara, J.-j. Wang, David HoweAbstract:Whilst methods of determining the Iron Loss in rotating permanent magnet machines have been investigated extensively, the study of Iron Loss in linear machines is relatively poorly documented. This paper describes a simple analytical method to predict flux density waveforms in discrete regions of the laminated stator of a tubular permanent magnet machine, and employs an established Iron Loss model to determine the Iron Loss components, on both no-load and on-load. Analytical predictions are compared with the Iron Loss deduced from finite element analyses for two tubular permanent magnet machine designs, and it is shown that if a machine has a relatively high electrical loading, the on-load Iron Loss can be significantly higher than the no-load value.
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prediction of mechanical stress effects on the Iron Loss in electrical machines
Journal of Applied Physics, 1997Co-Authors: K Ali, Kais Atallah, David HoweAbstract:Iron Losses can account for a significant portion of the total Loss in electrical machines. Nevertheless, although analytical and numerical techniques have been developed for predicting the Iron Loss density distribution and the total Iron Loss of various types of machine under any operating load condition, to date these have neglected the effect of mechanical stress. However, during the manufacture of many electrical machines, a significant radial compressive stress can be imposed on the stator lamination stack, by shrink fitting/pressing an outer frame, for example. This paper describes a technique that has been developed for predicting the effect of compressive stress on the Iron Loss density in lamination materials, and demonstrates its use in calculating the Iron Loss of a permanent magnet brushless dc motor.
