• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.3B no.3
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• pp.133-138
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• 2003

In this paper, a BLDC motor and its controller are developed for treadmill application. Motor size and structure are restricted in the design stage due to the limited and enclosed space of the treadmill. The shape of the rotor magnet is analyzed using FEM with restricted design conditions. Manufacturing, cost and performance are also considered. A biomechanical analysis of human locomotion with the change of velocity is considered in the design of the controller. For stable operation of the treadmill, current and temperature are to be detected by the DSP controller. The prototype BLDCM and its controller are tested to verify its performances.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.55 no.2
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• pp.62-66
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• 2006

This thesis focuses on the design of control schemes for highly efficient BLDC motor drive applications using drives with output capacity of 1Hp. The control system was designed and implemented on a PIC micro-controller and applied to an electric vehicle as a viable replacement to the existing a high phase induction motor that is currently being used for these low cost, small traction drive applications. This paper for the brushless drive research has shown the optimization of the drive system for improved drive design and switching techniques that can improve the entire drive system efficiency for electric vehicle both large and small traction applications using sinusoidal PWM techniques for synthesizing the AC waveforms needed to control these traction drives. In addition, Numerical simulation was conducted to evaluate the performance of designed BLDC Motor using MotorPro simulator.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.4B no.3
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• pp.108-113
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• 2004

This paper presents methods to improve performance of the power supply system in a NASA deep space explorer. In the Stirling engine driven reciprocating Brushless DC (BLDC) generator, the accurate position information of the prime mover is important to diagnose the performance of the engine and prevent distortion of the output power. Since sensors to detect the position are fragile and unreliable, and conventional sensorless techniques have drawbacks in the low speed region, a novel sensorless position detection technique for the prime mover has been proposed and verified. Another major issue of the generator for the spacecraft is power density maximization. The mass of the power system is important to the mass of the satellite. Therefore, the components of the spacecraft should be lightweight. Conventional rectification methods cannot achieve the maximum power possible due to non-optimal current waveforms. The optimal current waveform for maximizing power density and minimizing machine size and weight in a nonsinusoidal power supply system has been derived, incorporated in a control system, and verified by simulation work.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.202-204
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• 2007

영구자석을 이용한 다상 브러시리스 전동기의 역기전력의 파형은 정현파나 이상적인 사다리꼴 파형과는 다른 형태를 갖는다. 또한 다상 전동기의 경우 상호인덕턴스에 대한 이론적 해석이 쉽지 않아 시뮬레이션을 위한 모델 구현이 어렵다. 본 논문에서는 임의의 역기전력 파형을 갖는 7상 영구자석 브러시리스 전동기의 시뮬레이션 모델 구현 방법으로 회로 및 수식 을 기반으로 FEA(Finite Element Analysis)를 이용한 모델을 제안하고 시뮬레이션과 실험을 통해 제안된 모델의 타당성을 입증한다.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.220-222
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• 2007

본 논문에서는 하나의 DC-Link 전류센서를 사용하여 BLDC 모터의 상 저항을 고려한 상 전환 토크리플 저감 방법을 제안하고자 한다. 지금까지 하나의 DC-Link 전류센서를 사용하여 BLDC 모터의 상 전환 토크리플 저감에 대한 연구는 많이 진행 되어 왔다. 기존의 방법들은 상 저항 값을 무시하여 상 인덕턴스 성분만을 가지고 제어한 방법이 주류를 이루어 왔다. 하지만 상 저항 값이 크면, 저속 영역과 고속 영역 구간에 변화를 가져와 기존의 방법을 사용할 시 토크리플이 발생한다. 또한 상 전환 시 전류 기울기와 상 전환 시간에 대해 영향을 미치게 되어 기존의 방법을 사용할 경우 토크리플이 발생하게 된다. 본 논문에서는 시뮬레이션을 통하여 상 저항을 고려한 BLDC 모터의 상 전환 토크리플 저감 방법에 대해 효용성을 입증하고자 한다.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.325-327
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• 2007

This paper proposes a novel sensorless fault detection algorithm for a brushless DC(BLDC) motor drive system. This proposed method is configured without the additional sensor for fault detection and identification. The fault detection and identification are achieved by a simple algorithm using the operating characteristic of the BLDC motor. This proposed method can also be embedded into existing BLDC motor drive systems as a subroutine without excessive computational effort. The feasibility of a novel sensorless fault detection algorithm is validated in simulation.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.10-12
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• 2007

본 논문에서는 BLDC센서리스를 위해 역기전력의 영점검출을 위한 새로운 필터회로를 설계하였다. 특히 본 논문에서 제안한 역기전력 증폭 제한회로를 구성함에 있어 아날로그 디지털 혼용 필터회로를 구성하여 저속영역에서 센서리스를 특성을 개선하였다. 또한 100[W]급 BLDC 구동용 프로토 타입 드라이브를 제작하여 제안된 알고리즘의 타당성 검증하였다.

• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.62-63
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• 2017

본 논문에서는 휠체어의 탑승자의 구동력과 BLDCM(Brushless DC Motor) 에서 출력되는 보조력인 전기적인 구동력을 동시에 사용하는 탈부착형 하이브리드 휠체어의 동작제어방식을 제안한다. 기존에는 휠체어에 토크센서를 부착하여, 토크센서 신호의 피이드백을 통하여 보조력을 발생하는 방식이 적용되고 있지만, 제안된 방식에서는 토크센서의 사용없이 사용자의 동작을 간접적으로 검출하는 방식을 제안한다. 사용자가 휠체어의 핸드림을 조작할 때, 발생하는 휠체어의 동작을 3축 가속도 센서를 통해 모션을 예측하고, 이에 대응하는 구동력을 보조하는 PAS(Power Assist System)을 설계하였다. 사용자의 동작 예측을 위해, 3축 가속도 센서의 신호를 조합하여 전진과 후진 및 정지 상태 신호를 예측하는 방식을 시뮬레이션과 실험을 통해 증명하였다.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3073-3076
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• 1999

In this paper, $H_{\infty}$ two-degree-of freedom(2-DOF) model following control method is applied for the control of a brushless servo motor to achieve high robust performance. The proposed robust control algorithm designed to meet the robust stability and performances present that the robust control method is superior to conventional control methods in controlling the speed and position of a servo motor. The designed controller is implemented as an outer loop controller to a factory designed motor-servopack system. It is illustrated by simulations that the proposed method is effective to control servo systems.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1034-1036
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• 1996

In this paper, an adaptive fuzzy logic controller is presented for auto-tunning of the scaling factors by using learning capability of neural networks. The proposed scheme consists of the FLC which includes the PI-type FLC and PD-type FLC in parallel form and the neural network which learns scale factors of FLC. Computer simulations were performed to illustrate the effectiveness of a proposed scheme. A proposed FLC controller was applied to the second order system and velocity control of the brushless DC motors. For the design of the FLC, tracking error, change of error, and acceleration error are selected as input variables of the FLC and three seal e factors were used in the parallel-type FLC. This scheme can be used to reduce the difficulty in the selection of the scale factors.