• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1064-1071
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• 2006

In electric motor coaches, the rolling stocks move by the adhesive effort between rail and driving wheel. Generally, the adhesive effort is defined by the function of both the weight of electric motor coach and the adhesive effort between rails and driving wheel. The characteristics of adhesive effort is strongly affected by the conditions between rails and driving wheel. When the adhesive effort decreases suddenly, the electric motor coach has slip phenomena. This paper proposes a re-adhesion control based on disturbance observer and sensor-less vector control. The numerical simulation and experimental results point out that the proposed readhesion control system has the desired driving wheel torque response for the tested bogie system of electric coach. Based on this estimated adhesive effort, the re-adhesion control is performed to obtain the maximum transfer of the tractive effort.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.199-202
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• 2008

본 논문은 Fuzzy Slide Mode Control 및 BLDC모터를 이용하여 공기의 부하를 모사한 Actuator System에 관한 연구이다. 모터를 제어하기 위한 알고리즘으로 PID, PD, fuzzy Slide Mode Control의 특징을 비교 분석하였고 외란의 영향에 강한 Fuzzy Slide Mode Control을 적용하였다. 모터의 토크를 제어하여 실제 공기 부하에 맞는 토크를 모사함으로써 최대 2.3Nm의 토크와 50Hz의 응답 특성을 얻었다.

• The Transactions of the Korean Institute of Power Electronics
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• v.9 no.3
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• pp.253-259
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• 2004

This paper presents a speed controller method based on the disturbance torque observer for high-performance speed control of the brushless DC (RLDC) motor. In case of the speed control of robot arms and tracking applications with lower stiffness, we cannot design the speed controller gain to be very large from the viewpoint of the system stability Thus, the feedforward compensation method using disturbance torque observer was proposed. This method can improve the speed characteristic without increasing the speed controller gain. The speed characteristic against disturbance torque can be improved when the bandwidth of the speed controller cannot be made large enough. Consequently, the speed control of the BLDC motor for the high-performance application become achieved.

• Bulletin of the Korean Space Science Society
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• 2005.04a
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• pp.138-142
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• 2005

A reaction wheel, an actuator for satellite attitude control, produces disturbance torque and force as well as its axial control torque. The disturbances have an influence on the pointing stability of high precision satellites. The measurement of disturbances for such a satellite, therefore, is necessary. The wheel's rotation, however, causes the vibration of the table and its vibration induces measurement errors, especially large near the resonance frequency of the Measurement table. For the purpose of overcoming these defects, a calibration method using frequency compensation is suggested in this paper. Disturbance parameters are identified from data examined by frequency compensation. Measurement frequency range can be expanded far higher than the resonance frequency, since the degradation of data accuracy caused by its vibration is well alleviated even in the resonance area.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2658-2660
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• 2000

본 논문은 주파수역에서의 모델매칭을 이용하여 강인한 성능의 PID 제어기 튜닝법을 제안하였다. 이를 이용하여 부하토크 외란에도 강인한 성능의 BLDC 모터의 속도제어기를 설계하였다. 부하토크 외란이 존재하여도 주어진 기준명령을 강인하게 추종하도록 $H_{\infty}$ 제어를 이용하여 속도제어기를 설계한 후, 설계할 PID 제어계의 루프 전달함수와 설계된 $H_{\infty}$ 제어계의 루프 전달함수간의 오차가 주파수역에서 최소가 되도록 PID 제어기 파라미터를 튜닝하였다. BLDC 모터의 속도제어 시뮬레이션을 통하여 설계된 강인 PID 제어기의 성능을 평가하였다.

• Bulletin of the Korean Space Science Society
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• 2006.10a
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• pp.66-66
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• 2006

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.535-537
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• 2005

최근의 산업용 서보 구동 응용 분야에서는 전 운전 영역에서 위치 추종에 대한 높은 정밀도와 빠른 응답 특성이 요구된다. 그러나 부하 외란은 시스템의 속도 응답 특성을 나쁘게 하여 위치 추종에 대한 빠른 응답 특성과 높은 정밀도를 기대하기 어렵게 만든다. 따라서 고성능 위치/속도 제어를 위해서는 부하 토크의 추정이 필수적이다. 본 논문에서는 SVR에 기반한 실시간 부하 토크 관측기를 제안한다. 제안된 방법은 오프라인 SVR 학습을 통하여 부하 토크 관측기를 만들고, 운전 데이터로부터 부하 토크를 추정하여 실시간으로 전향 보상한다. 제안된 방법의 타당성을 위해 다양한 실험을 수행하였다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.40 no.4
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• pp.243-250
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• 2003

In this paper, the speed controller of permanent-magnet synchronous motor (PMSM) using the RBF neural (NN) disturbance observer is proposed. The suggested controller is designed using the input-output feedback linearization technique for the nominal model of PMSM and incorporates the RBF NN disturbance observer to compensate for the system uncertainties. Because the RBF NN disturbance observer which estimates the variation of a system parameter and a load torque is employed, the proposed algorithm is robust against the uncertainties of the system. Finally, the computer simulation is carried out to verify the effectiveness of the proposed method.

• Proceedings of the KIPE Conference
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• 2019.07a
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• pp.392-393
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• 2019

본 논문에서는 전기 보트 추진을 위한 SPMSM(Surface mounted Permanent Magnet Synchronous Motor) 구동 시스템을 개발하였다. 전차원 폐루프 관측기를 이용하여 외란 토크 관측기를 구성하고, 관측된 외란 성분을 속도 제어기 출력에 보상하여 속도 제어 성능을 향상시켰다. 리튬이온 배터리, 인버터 및 1kW SPMSM으로 구성된 전기 보트 추진 시스템을 이용한 구동 실험을 통해 추진용 전동기의 속도 제어 특성을 확인하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.4
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• pp.738-745
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• 2001

In this paper, when the moving object move to the three-dimentional space, the tracking system track the moving object using the fuzzy reasoning. The joint angle el of the manipulator rotate from $0^{\circ}\; to\; 360^{\circ}$ , and the joint angle $\theta_2$rotate from$0^{\circ}\; to\; 360^{\circ}$. The fuzzy singleton is used for fuzzification and the control rule is twenty five and the fuzzy inference method is simplified Mamdani's reasoning and the defuzzification is the SCOG(Simplified Center Of Gravity) of the fuzzy controller To measure of the performance of the designed system, the fuzzy controller is compared with the CTM(Computed Torque Method) controller at the same condition. when the disturbance torque is ON, the both of CTM and fuzzy controller tracked object without error, However, the disturbance torque changed 0.4N, the CTM controller is 10 times greater than fuzzy controller at the sum of absolute error difference. The designed system is showed it's robustness against with disturbance.