• 전력전자학회:학술대회논문집
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• 전력전자학회 2004년도 전력전자학술대회 논문집(2)
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• pp.944-948
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• 2004

This paper presents a simple torque estimation method and switching angle control of Switched Reluctance Motor (SRM) using Neural Network (NN). SRM has gaining much interest as industrial applications due to the simple structure and high efficiency. Adaptive switching angle control is essential for the optimal driving of SRM because of the driving characteristic varies with the load and speed. The proper switching angle which can increase the efficiency was investigated in this paper. NN was adapted to regulate the switching angle and nonlinear inductance modelling. Experimental result shows the validity of the switching angle controller.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2002년도 전력전자학술대회 논문집
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• pp.33-37
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• 2002

This paper presents a simple torque estimation method and the switching angle control of SRM using Neural Network. SRM has gaining much interest as industrial applications due to the simple structure and high efficiency. Adaptive switching angle control is essential for the optimal driving of a SRM because of the driving characteristic varies with the load and speed. The proper switching angle which can increase the efficiency was investigated in this paper Neural Network was adapted to regulate the switching angle and nonlinear inductance modelling. Experimental result shows the validity of the switching angle controller.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• 제11B권4호
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• pp.185-192
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• 2001

In SRM drive, the ON·OFF angles of each phase switch should be accurately controlled in order to control the torque and speed stably. The accuracy of the switching angles is dependent upon the resolution of the encoder and the sampling period of the microprocessor, that are used to provide the information of the rotor position and to control the SRM power circuit, respectively. However, as the speed increases, the amount of the switching angle deviation from the preset values is also increased. Therefore, the low cost encoder suitable for the practical and stable SRM drive is proposed and the control algorithm to provide the switching signals using the simple digital logic circuit is also presented in this paper, As a result, a stable high speed SRM drive can be achieved by the high resolution switching angle control and it is verified from the experiments that the proposed encoder the logic controller can be a powerful candidate for the practical low cost SRM drive.

• 대한전기학회논문지
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• 제45권4호
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• pp.526-529
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• 1996

A novel control scheme for a Switched Reluctance Motor(SRM) drive is described. To increase torque, and to commutate easily, flat-topped phase current and fixed switching angle control is proposed. The conditions for flat-topped phase current are analyzed. It is achieved by voltage control with fixed switching angle. The proposed control system was tested to verify this suggestion. (author). refs., figs., tab.

• 한국인터넷방송통신학회논문지
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• 제23권4호
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• pp.143-148
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• 2023

SRM의 특성 중 비선형성으로 인해 최대토크 및 최소 토크 맥동 형성을 위한 적정 운전이 어렵다. 또한 고정 스위칭각 제어 때 속도 가변에 따른 토크 형성이 불안정하여 효율을 저하시키는 문제점을 가지고 있다. 따라서 속도 가변에 따른 능동적인 스위칭각 제어가 필요하다. 본 논문에서는 SRM의 비선형성으로 인한 문제점으로부터 선행각 (Advance angle)의 자동제어에 의한 토크 리플 저감과 이에 따른 출력 토크 향상에 의한 구동 성능개선을 위한 방법에 대해 모색하였다. 또한 히스테리시스 전류제어기 성능에 따른 스위칭 가변으로 인한 SRM의 최적 운전에 대해 살펴보았다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1999년도 전력전자학술대회 논문집
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• pp.151-154
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• 1999

This paper presents a driving method of 3-phase 4-poles SRM(switched reluctance motor) drived by switching angle control. In this study, the switching angle is determined from approximated analysis and computer simulation by using MATLAB for high efficiency according to the speed and torque required by load, and then microcontroller controls the switching angle of asymmetrical inverter in SRM driver. Also, we experiment the maximum forque driving and maximum power driving by controlling switching angle available to electric vehicle.

• Journal of Power Electronics
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• 제1권1호
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• pp.56-64
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• 2001

This paper presents the switching angle and voltage for maximizing the torque or efficiency and minimizing torque ripple of an 8/6, SRM. The approximate analysis and computer simulation determine the switching angle and voltage by using SIMULINK$^\textregistered$. This is performed as a function of the speed and torque required by the load. From the results, new three facts can be known: First, the maximum torque depends on voltage and speed depends on switching angle. The others, the maximum efficiency and minimum torque ripple relay on switching angle. We control the switching angle and voltage of and asymmetrical inverter for the SRM with one-chip micro controller.

• 전력전자학회논문지
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• 제7권6호
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• pp.509-516
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• 2002

본 논문에서는 신경회로망을 이용한 스위치드 릴럭턴스 전동기(Switched Reluctance Motor, SRM)의 간편한 순시토크 추정기법과 스위칭 각 제어에 관해 연구하였다. 간단한 구조와 높은 효율 등의 많은 장점을 가지고 있는 SRM은 부하토크와 회전속도에 따라 운전특성이 달라지므로 최적운전을 위해서는 스위칭 각 제어가 필수적이다. 이러한 스위칭 각은 고정자 및 회전자 극호각, 토크 및 속도 능의 여러 변수들에 따라 달라지기 때문에 적정 스위칭 시점을 결정하는데 있어서 어려움이 있다. 따라서 본 논문에서는 부하토크 및 회전속도에 따라 효율이 가장 높은 적정 스위칭 각을 실험을 통해 선정한 후 신경회로망(Neural Network, NN)을 이용하여 전동기 제어에 적용하는 방안에 관해 고찰하였다. 또한 스위칭 각 제어에 있어서 필수적인 순시토크의 추정에 있어서도 신경회로망을 이용하여 인덕턴스의 비선형적인 특성이 고려되도록 하였다. 구현된 스위칭 각 제어기를 실제 시스템에 적용하였으며, 고효율 측면에서 선정된 스위칭 각 제어기의 동특성을 확인함으로써 스위칭 각 제어기의 적합성을 검증하였다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1997년도 전력전자학술대회 논문집
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• pp.454-459
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• 1997

The good features of a switched reluctance motor(SRM) are appreciated by the appliance manufactures. And it is spread into a commercial and industries market. The few disadvantage of the motor is higher torque ripple and noise. This paper proposes an instantaneous torque control scheme to control a speed precisely. It adapts phase-locked loop (PLL) technique to control speed precisely. In this control scheme, the phase detector signal of the PLL regulates the switching dwell angle flexibly and the loop filter's signal controls adaptively the instantaneous switching voltage. Experimental results show that drive performance is good with low torque ripple.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.152.1-152
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• 2001

This paper presents a high performance and cost effective way by using an FPGA circuit to implement torque controller so that the SRM can operate at high speed. In order to increase the operating speed, we need to implement both the torque and the current controllers by using an FPGA. However, it is difficult to implement all of the torque controller in the FPGA. Moreover, implementation of a time critical part is sufficient for improving the performance. One of the time critical part is the switching angle control. In this study, torque controller which calculate the switching on and commutation angles is implemented in PC because these angle are a function of rotor velocity which is varied slowly, and switching angle controller ...