• 전력전자학회:학술대회논문집
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• 전력전자학회 2008년도 하계학술대회 논문집
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• pp.106-108
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• 2008

This paper deals with the design for speed controller to drive PMSM by matrix converter without DC-link circuit as the power conversion system of AC servo motor drive. To design the speed controller of PMSM drive, the closed-loop transfer function of speed controller is calculated and then the frequency-domain response characteristics are analyzed by bode plot using Matlab. Based on the results by bode plot, the speed control gains are determined. As the real effects of controller designed in the frequency-domain display in the time-domain, the performance of speed controller is confirmed by the step response of speed controller. The design examples are shown and its validity of the design method mentioned in the paper is verified through PSIM simulation.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2006년도 춘계학술대회 논문집
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• pp.315-320
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• 2006

This paper presents speed control of IPMSM drive using neural network(NN) PI controller. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness of fixed gain PI controller, NNPI controller proposes a new method based neural network. NNPI controller is developed to minimize overshoot, rise time and settling time following sudden parameter changes such as speed, load torque and inertia. Also, this paper is proposed speed control of IPMSM using neural network and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fired gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

• 전기학회논문지
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• 제66권11호
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• pp.1663-1668
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• 2017

A BLDC motor with higher number of phases has several advantages, compared to the conventional three-phase BLDC motors. It can reduce the commutation torque ripple and the iron loss without increasing the voltage per phase and increase the reliability and power density. Higher number of phases increase the torque-per-ampere ratio for the same machine volume and output power by widening the electrical conduction period. In this paper, the proposed seven-phase BLDC motor drive system is made into several functional modular blocks, so that it can be easily extended to other ac motor applications: back-EMF block, hysteresis current control block, pwm inverter block, phase current block, and speed/torque control block. Also in a system of BLDC motor drive, the PI controller has been widely used in the speed controller because of the simple implementation. To obtain a good speed response in a general drive system using the PI controller, the high bandwidth of a controller is established. therefore, in this paper, a Fuzzy controller is applied to the 7-phase BLDC motor drive system in order to improve the speed control performance. The Fuzzy controller is compared with a conventional PI controller through the experiment with respect to speed dynamic responses. These experimental results show that the Fuzzy controller of the 7-phase BLDC motor drive system is superior over the conventional PI controller. The algorithm using the Fuzzy controller can improve a comfortable ride in the field of high performance 7-phase BLDC motor drive applications.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
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• pp.1027-1028
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• 2006

In this paper, design of current and speed controller for DC motor drive system using Embedded Target for TI C2000DSP in Matlab/Simulink is introduced. Current and speed controller is designed and implemented using program simply and easily, and speed control response of DC motor can be advanced. Current and speed control of DC motor is carried in eZdsp F2812 control board using Embeded Target for TI C2000DSP in Matlab/Simulink. Speed feedback is processed through A/D converter using tacho generator as speed sensor, and current feedback is processed through A/D converter using hall sensor as current sensor. Controller is designed to PI current controller and PI speed controller. Current and speed response is verified through simulations and experiments.

• 조명전기설비학회논문지
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• 제24권8호
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• pp.70-77
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• 2010

본 논문에서는 차세대 고속철도에 적용하기 위한 IPMSM 견인시스템의 전류 및 속도제어기를 설계한다. 차세대 고속철도는 동력분산식 시스템으로 개발되며 고효율화를 위해 IPMSM 적용 견인전동기를 사용하였고 전동기 제어를 위해 벡터제어 기법을 사용한다. 이 때 벡터제어 루프내 제어기 이득 값은 IPMSM의 과도특성과 속도제어 능력에 영향을 미치기 때문에 알맞은 이득 설계가 요구된다. 본 논문에서는 IPMSM 적용 차세대 고속철도용 견인전동기의 제어기를 설계하여 Matlab/Simulink 기반 모의시험 프로그램을 개발하고 이를 이용한 시험 결과를 분석하였다.

• 한국지능시스템학회논문지
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• 제9권5호
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• pp.463-471
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• 1999

This paper presents a vector controlled induction motor is implemented by neural networks system compared with PI controller for the speed control. The design employed the training strategy with Neural Network Controller(NNC) and Neural Network Emulator(NNE) for speed. In order to update the weights of the controller First of all Emulator updates its parameters by identifying the motor input and output next it supplies the error path to the output stage of the controller using backpropagation algorithm, As Controller produces an adequate output to the system due to neural networks learning capability Vector controlled induction motor characteristics actual motor speed with based on neural network system follows the reference speed better than that of linear PI speed controller.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제54권12호
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• pp.629-637
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• 2005

This paper proposes a new anti-windup strategy to suppress integrator windup for PI speed controller and to be implemented on the existing system with minimal modification. When the speed control mode is changed from P controller to PI controller. an appropriate initial value for integrator is assigned. This value restricts overshoot and high settling time. Also, the proposed method guarantees the designed performance independent on operating conditions, i.e. different set-point change and load torque. Simulation and experimental results for PMSM speed controller have shown its superior performance compared with the conditional integration and tracking back calculation.

• 한국정보전자통신기술학회논문지
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• 제11권5호
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• pp.481-486
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• 2018

DC 모터는 브러시 구조가 있는 DC 모터와 브러시 구조가 없는 BLDC(Brushless DC) 모터로 분류된다. BLDC 모터는 DC 모터의 브러시가 없이 정류를 전자적으로 수행하는 모터로 BLDC 모터의 속도제어를 대표하는 것은 PI 제어이다. PI 제어기를 이용한 속도제어는 정상상태에 도달하는 응답 특성이 느리다는 단점을 가지고 있다. 이를 보완하기 위해 정상 상태까지 도달하는 시간이 짧고 비선형 제어에도 쉽게 제어가 가능한 FLC(Fuzzy Logic Controller)를 이용해 전압을 가감하는 방식의 전압 제어 속도 제어기 제안하였다. 제시한 퍼지 속도 제어기의 타당성과 유용성은 MATLAB 프로그램의 Simulink를 통해 모의실험으로 입증하였다. 모의실험은 기준 속도를 500rpm, 800rpm, 1500rpm의 3가지 경우로 각각 PI 제어기와 제안한 퍼지 속도 제어기를 실험하였다. 실험 결과 제안한 퍼지 속도 제어기가 30% 정도 개선된 정상 상태 속도 응답 특성을 보이며 PI 제어기에 비해서 빠른 속도 응답 특성을 갖고 있음을 입증하였다.

• Journal of Power Electronics
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• 제12권2호
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• pp.305-316
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• 2012

The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.

• 전력전자학회논문지
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• 제2권1호
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• pp.39-45
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• 1997

초고속 전동기 구동 시스템을 위하여 간접 신경회로망 제어기를 제안하였다. 고속의 가변 전동기구동에서의 속도응답은 긴 정착시간과 높은 오버슈트의 영향에 있게 되므로 고성능을 위하여 신경회로망 제어기와 신경회로망 에뮬레이터로 구성된 제어기를 사용하였으며, 신경회로망 에뮬레이터는 고속 전동기의 정수와 특성을 동정하는데 사용하였고, 제어기의 학습은 접속강도가 백프로퍼게이션에 의해 조절되도록 하였다. 그리고 시뮬레이션과 실험을 통하여 제안된 시스템의 특성과 장점을 확인하였다.