• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.25 no.12
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• pp.82-87
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• 2011

In this paper, a sensorless speed control system is designed for the next generation high speed railway at zero and low speed region. The applied vector control scheme is a maximum torque per ampere(MTPA) method to utilize reluctance torque of IPMSM. The designed sensorless control scheme is a rotating high frequency voltage signal injection method. To verify the designed system, a simulator for the vector controller and sensorless controller is implemented using Matlab/simulink.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.05a
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• pp.311-315
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• 2007

In this paper, a new approach for the Synchronous Reluctance Motor control which ensures producing Maximum Torque per Ampere(MTPA) 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.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1474-1477
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• 2005

This paper is proposed maximum torque per ampere of induction motor using fuzzy-neural networks controller. Operation of maximum torque per ampere is achieved when, at a given torque and speed, the slip frequency is adjusted to that so that the stator current amplitude is minimized. This paper introduces a induction motor drive system with fuzzy-neural networks controller. A neural network-based architecture is described for fuzzy logic control. The characteristic rule and their membership function of fuzzy system are represented as the processing nodes in the neural network structure. This paper is proposed the analysis as well as the simulation results to verify the effectiveness of the new method.

• The Transactions of the Korean Institute of Power Electronics
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• v.8 no.3
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• pp.221-229
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• 2003

Interior permanent magnet synchronous motor (IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. The paper is proposed maximum torque control of IPMSM for electric vehicle drive. The control method is applicable over the entire speed range and 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. The proposed control algorithm is applied to IPMSM drive system for electric vehicle drive, the operating characteristics controlled by maximum torque control are examined in detail by simulation.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.54 no.4
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• pp.185-191
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• 2005

In this paper, a new approach for the Synchronous Reluctance Motor control which ensures producing Maximum Torque per Ampere(MTPA) 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 KIEE Conference
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• 2015.07a
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• pp.850-851
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• 2015

In this paper, it employs IPMSM sensorless methods about current model and Extend-EMF methods. By using a MATLAB/Simulink program, it presents sensorless method in relation No high frequency voltage and replaces current based sensorless method. This IPMSM motor is drived by MTPA and Flux weakening controls for adjusting a actual motor application. In order to improving stability of IPMSM sensorless control, method about Sensorless estimation change is suggested by this paper.

• Proceedings of the KIPE Conference
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• 2002.07a
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• pp.297-299
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• 2002

This paper is proposed maximum torque control for electric vehicle drive. At low speeds, the reluctance torque is used to maximize the output for a given current level. This Is achieved maximum torque per ampere(MTPA) by selecting an optimal value of the direct stator current component. At high speeds, the system reaches a point at which the inverter will not be able to supply the desired voltage In this case it Is necessary to make use of an increased value the direct current component. The proposed control algorithm is applied to PMSM drive system, the operating characteristics controlled by maximum torque control are examined in detail by simulation.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.65-66
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• 2010

This paper deals with PMSM control method for electric scooter. Electric scooter's motor has special structure that is hard to attach resolver or encoder. This paper suggests a method that it is performed of vector control for PMSM using hall sensor. After driving BLDC motor in low speed typically, driving mode is changed to PMSM operation and performs MTPA and flux weakness control. Proposed method is verified through simulation and testing.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.432-433
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• 2010

본 논문에서는 직렬형 디젤 하이브리드 전기 트럭 구동을 위한 견인 전동기 제어 시스템 개발에 대해 소개한다. 높은 출력 밀도를 요구하는 복합형 전기 차량의 특성을 고려하여 매입형 영구자석 동기전동기를 선정하고, 대전류 고효율 시스템 구성을 위해 수랭식 MCU(Motor Control Unit)를 개발 하였다. 또한 빠른 토크 응답 특성과 넓은 영역의 속도 운전을 위한 약자속 제어 기법을 적용하였으며, 전체 시스템 효율을 향상시키기 위해 단위 전류당 최대 토크 제어 기법(MTPA)이 사용 되었다. 개발 된 제어 시스템 및 제어 기법을 실험을 통해 검증 하였다.

• Journal of Power Electronics
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• v.11 no.4
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• pp.418-423
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• 2011

This paper presents a simulation model and a parameter identification scheme of an induction motor drive for electric vehicle. The induction motor in automotive applications should operate in very high efficiency and achieve the maximum-torque-per-ampere (MTPA) feature even with saturated magnetic flux under very high torque. The indirect vector control which is typically adopted in traction drive system requires precise information of motor parameters, particularly rotor time constants. This work models an induction motor considering magnetic saturation and proposes an empirical identification method using the current controller in the synchronous reference frame. The proposed method is applied to a 22kW-rated induction motor for electric vehicle.