• The Transactions of the Korean Institute of Power Electronics
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• v.22 no.2
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• pp.175-180
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• 2017

The measurement of three-phase current is important to control the instantaneous torque of a interior permanent magnet synchronous motor(IPMSM) using a three-phase inverter. Therefore, shunt resistors are used in low-cost motor-driving systems to measure three-phase current instead of additional current sensors that are too expensive for these systems. However, in certain regions of a space vector plane, shunt resistors cannot reconstruct three-phase current in high-speed driving mode. In this paper, predictive current control is used to compensate for the three-phase current in those regions, which results in a reduction of current ripple in a three-shunt sensing inverter(TSSI) and torque ripple in IPMSM.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.5
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• pp.32-43
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• 2007

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. This paper proposes maximum torque control of IPMSM drive using adaptive learning fuzzy neural network and artificial neural network. This control method is applicable over the entire speed range which considered the limits of the inverter's current and voltage rated value. This paper proposes speed control of IPMSM using adaptive learning fuzzy neural network and estimation of speed using artificial neural network. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system controlled adaptive learning fuzzy neural network and artificial neural network, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper proposes the analysis results to verify the effectiveness of the adaptive learning fuzzy neural network and artificial neural network.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.891_892
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• 2009

This paper presents the rotor study on the deal with the shape design with a flux barrier to minimize the cogging torque of Interior Permanent Magnet Synchronous Motor(IPMSM). In order to consider the notch effect, the torque characteristics according to the shape of notch is performed and analyzed. From the this results, we found that an optimal location and radius of the notch effectively suppresses the torque pulsation of the IPM drive. The rotor shape design also shows improvement in the average torque

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.843-844
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• 2015

본 논문은 매입형 영구자석 동기모터(IPMSM: Interior Permanent Magnet Synchronous Motor)에서 발생하는 소음의 원인을 유추하고 해석적, 실험적 방법을 통하여 소음을 평가한다. 또한 비교 모델의 실험을 수행하여 측정된 데이터에 따른 소음 값을 비교 분석한다. 대상 모델은 12극 18슬롯이고 슬롯 오픈의 유무에 따른 주파수 분석 및 소음을 측정하였다. 기존 전동기와 비교 모델 전동기의 소음 결과를 분석하였고 슬롯 오픈 유무에 따라 소음이 발생하는 것을 확인하였다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.964-965
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• 2015

본 논문에서는 유도 전동기와 매입형 영구자석 동기 전동기(IPMSM)의 센서리스 운전 성능의 비교 및 분석에 대해 기술하였다. 유도 전동기는 자속을 추정하여 회전자 위치를 얻는 두 가지 방식의 알고리즘을 기술하였고, 매입형 영구자석 동기 전동기는 역기전력을 추정하여 회전자 위치를 얻는 방식을 기술하였다.

• Proceedings of the KIPE Conference
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• 2020.08a
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• pp.239-241
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• 2020

MSIS(Modular Scalable Inverter System)에서 모터 구동 시 발생하는 고주파 성분의 순환 전류는 구동 시스템의 효율 및 신뢰성을 저하시키기 때문에, 이를 저감하기 위한 PWM(Pulse Width Modulation) 동기화 기법의 구현이 필수적으로 요구 된다. 본 논문은 MSIS에서 PWM 동기화 기법을 적용하기 위한 모터 구동 인버터용 제어보드의 설계에 관한 것이다. 제어보드 간 PWM 동기화 기법을 적용하기 위해 DSP(Digital Signal Processor)의 EPWMSYNC를 활용하였다. EPWMSYNC은 서로 다른 DSP간 PWM의 위상을 동기화하는 기능으로 DSP의 EPWMSYNCO과 EPWMSYNCI를 사용한다. 설계한 제어보드는 EPWMSYNC 신호를 광케이블을 통해 다른 제어보드로 연결할 수 있도록 설계하여, 제어보드 간의 절연과 잡음의 영향을 최소화했다. 본 논문에서 설계한 제어보드의 EPWMSYNC를 시험하였으며, 600W급 IPMSM(Interior Permanent Magnet Synchronous Motor)을 부하로 사용하는 시스템에서 설계된 제어보드의 유효성을 검증하였다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.1
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• pp.40-49
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• 2008

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications and so of due to their excellent power to weight ratio. To obtain maximum efficiency in these applications, this paper proposes the neural network control method. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the error back propagation algorithm(EBPA) of neural network. The minimization of loss is possible to realize eHciency optimization control for the IPMSM drive. This paper proposes high performance and robust control through a real time calculation of parameter variation such as variation of back emf constant, armature resistance and d-axis inductance about the motor operation. Proposed algorithm is applied IPMSM drive system, prove validity through analysis operating characteristics con011ed by efficiency optimization control.

• The Transactions of the Korean Institute of Power Electronics
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• v.16 no.2
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• pp.152-161
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• 2011

An interior permanent magnet synchronous motor(IPMSM) has been applied to the electric vehicle due to its high efficiency, compact volume, and wide operating speed ranges. This paper presents the analysis of the flux weakening operating regions at high speeds for the IPMSM that has back emf harmonics. The effect of the back emf harmonics on the motor speed and the maximum torque is analyzed. Also the dq currents for maximum torque operation under the voltage and the current limit conditions are analyzed. The conventional analysis and the presented analysis for the flux weakening operating regions are compared and the maximum torque - speeds characteristics for both analysis are verified through the experiment.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.11a
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• pp.313-318
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• 2007

Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. This paper proposes maximum torque control of IPMSM drive using adaptive fuzzy neural network controller and artificial neural network(ANN). This control method is applicable over the entire speed range which considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current $i_d$ for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using Adaptive-FNN controller and ANN controller. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper reposes speed control of IPMSM using Adaptive-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is a lied to IPMSM drive system controlled Adaptive-FNN and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper proposes the analysis results to verify the effectiveness of the Adaptive-FNN and ANN controller.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.37-38
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• 2011

본 논문에서는 RT(Real Time)기반의 IPMSM(Interior Permanent Magnet Synchronous Motor) 설계 및 해석, 평가 플랫폼을 개발하고자한다. GUI(Graphical User Interface)로 제작 된 플랫폼 실행창에서 설계변수의 수치적 입력을 통해 설계 자동화를 구현하며, 수치해석프로그램 FEMM과 연동함으로써 전동의 전자계 해석 및 제어정수의 추출을 수행한다. 아울러 추출된 제어정수를 이용, Simulink의 실시간 시뮬레이션을 통해 IPMSM의 제어를 수행하여 통합적 설계 해석 평가를 도출한다.