• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1915-1919
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• 2004

In this paper, we propose a new discrete-time predictive current controller for a PMSM(Permanent Magnet Synchronous Motor). The main objectives of the current controllers are to ensure that the measured stator currents tract the command values accurately and to shorten the transient interval as much as possible, in order to obtain high-performance of ac drive system. The conventional predictive current controller is hard to implement in full digital current controller since a finite calculation time causes a delay between the current sensing time and the time that it takes to apply the voltage to motor. A new control strategy in this paper is seen the scheme that gets the fast adaptation of transient current change, the fast transient response tracking and is proposed simplified calculation. Moreover, the validity of the proposed method is demonstrated by numerical simulations and the simulation results will be verified the improvements of predictive controller and accuracy of the current controller.

• Journal of Power Electronics
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• 제11권2호
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• pp.120-131
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• 2011

This paper proposes two control strategies for the bidirectional Z-source inverters (BZSI) supplied by batteries for electric vehicle applications. The first control strategy utilizes the indirect field-oriented control (IFOC) method to control the induction motor speed. The proposed speed control strategy is able to control the motor speed from zero to the rated speed with the rated load torque in both motoring and regenerative braking modes. The IFOC is based on PWM voltage modulation with voltage decoupling compensation to insert the shoot-through state into the switching signals using the simple boost shoot-through control method. The parameters of the four PI controllers in the IFOC technique are designed based on the required dynamic specifications. The second control strategy uses a proportional plus resonance (PR) controller in the synchronous reference frame to control the AC current for connecting the BZSI to the grid during the battery charging/discharging mode. In both control strategies, a dual loop controller is proposed to control the capacitor voltage of the BZSI. This controller is designed based on a small signal model of the BZSI using a bode diagram. MATLAB simulations and experimental results verify the validity of the proposed control strategies during motoring, regenerative braking and grid connection operations.

• 조명전기설비학회논문지
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• 제21권10호
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• pp.73-81
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• 2007

서보 모터의 순시 토크 제어 능력의 개선을 위해 PMSM 서보 모터의 적응형 전류 제어기 설계 방법을 제안한다. 동기좌표 전류 제어기에서 비결합 제어 입력을 이용하여 새로운 제어 입력 항을 얻을 수 있으며 이를 통해 제어기의 원하는 대역폭을 선정할 수 있지만 모터의 파라미터 변화, 데드타임에 의한 인버터의 왜곡 등의 외란에 의해 제어 성능이 저하된다. 이러한 단점을 개선하기 위해 PMSM 서보 모터의 적응형 전류 제어기의 설계 방법을 제안하며 설계 방법이 초안정(hyperstability) 이론에 의해 구해진다. 제안된 제어 방식의 점근안정성을 이론적으로 증명하고 DSP TMS320C31을 이용한 시뮬레이션과 실험을 통해 입증한다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2009년도 추계학술대회 논문집
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• pp.359-362
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• 2009

Optimal efficiency control of synchronous reluctance motor(SynRM) is very important in the sense of energy saving and conservation of natural environment because the efficiency of the SynRM is generally lower than that of other types of AC motors. This paper is proposed a novel efficiency optimization control of SynRM considering iron loss using multi adaptive fuzzy learning controller(AFLC). The optimal current ratio between torque current and exciting current is analytically derived to drive SynRM at maximum efficiency. This paper is proposed an efficiency optimization control for the SynRM which minimizes the copper and iron losses. There exists a variety of combinations of d and q-axis current which provide a specific motor torque. The objective of the efficiency optimization control is to seek a combination of d and q-axis current components, which provides minimum losses at a certain operating point in steady state. The control performance of the proposed controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2503-2508
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• 2005

In this paper, we propose a new discrete-time predictive current controller for a PMSM(Permanent Magnet Synchronous Motor). The main objectives of the current controllers are to ensure that the measured stator currents tract the command values accurately and to shorten the transient interval as much as possible, in order to obtain high-performance of ac drive system. The conventional predictive current controller is hard to implement in full digital current controller since a finite calculation time causes a delay between the current sensing time and the time that it takes to apply the voltage to motor. A new control strategy in this paper is seen the scheme that gets the fast adaptation of transient current change, the fast transient response tracking. Moreover, the validity of the proposed method is demonstrated by numerical simulations and the simulation results will present the improvements of predictive controller and accuracy of the current controller.

• 전력전자학회논문지
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• 제16권6호
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• pp.569-576
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• 2011

본 논문에서는 PWM 인버터에 적합한 새로운 데드타임 보상방법을 제안한다. 최근 PWM 인버터는 교류전동기, 분산전원용 계통연계 시스템, 정지형보상기 등의 다양한 산업에 사용되고 있다. 그러나 사용되는 전력용 소자의 비선형적인 특성과 데드타임에 의해 전력의 품질이 저하되고 전류에 고조파가 발생하게 된다. 데드타임에 의한 고조파는 정지좌표계상에서는 제 5, 7 고조파가, 동기좌표계상에서는 제 6 고조파가 가장 현저하다. 본 논문에서는 동기좌표계상에서 공진제어기를 사용하여 제 6 고조파를 보상하는 방법을 제안한다. 제안된 방법은 시스템의 안정도를 유지하면서도 데드타임에 의한 전류의 고조파를 억제하여 전력품질을 향상시킬 수 있고, 제 6 고조파를 검출하기 위한 별도의 연산이나 외부적인 하드웨어, 추가적인 실험이 필요하지 않다는 장점이 있다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 제40회 하계학술대회
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• pp.776_777
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• 2009

Optimal efficiency control of synchronous reluctance motor(SynRM) is very important in the sense of energy saving and conservation of natural environment because the efficiency of the SynRM is generally lower than that of other types of AC motors. This paper is proposed a novel efficiency optimization control of SynRM considering iron loss using neural network(NN). The optimal current ratio between torque current and exciting current is analytically derived to drive SynRM at maximum efficiency. This paper is proposed an efficiency optimization control for the SynRM which minimizes the copper and iron losses. The design of the speed controller based on adaptive learning mechanism fuzzy-neural networks(ALM-FNN) controller that is implemented using fuzzy control and neural networks. The objective of the efficiency optimization control is to seek a combination of d and q-axis current components, which provides minimum losses at a certain operating point in steady state. The control performance of the proposed controller is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제49권8호
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• pp.557-564
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• 2000

A very simple control approach using neural network for the robust position control of a Permanent Magnet Synchronous Motor(PMSM) is presented. The linear quadratic controller plus feedforward neural network is employed to obtain the robust PMSM system approximately linearized using field-orientation method for an AC servo. The neural network is trained in on-line phases and this neural network is composed by a feedforward recall and error back-propagation training. Since the total number of nodes are only eight, this system can be easily realized by the general microprocessor. During the normal operation, the input-output response is sampled and the weighting value is trained multi-times by error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. In addition, the robustness is also obtained without affecting overall system response. This method is realized by a floating-point Digital Signal Processor DS1102 Board (TMS320C31).

• Journal of Power Electronics
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• 제3권4호
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• pp.230-238
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• 2003

Electric vehicles (EV) demands for greater acceleration, performance and vehicle range in pure electric vehicles plus mandated requirements to further reduce emissions in hybrid electric vehicles (HEV) increase the appeal for combined on-board energy storage systems and generators. And the power electronics plays an important role in providing an interface between fuel cells (FC) and loads. This paper deals with a multiple input DC-DC power converter devoted to combine the power flowing of multi-source on energy systems. The multi-source is composed of (i) FC system as a prime power demands, (ii) super capacitor banks as energy storage devices for high and intense power demands, (iii) superconducting magnetic energy storage system (SMES), (iv) multiple input DC-DC power converter and (v) a three phase inverter-fed permanent magnet synchronous motor as a drive. In this system, It is used super capacitor banks and superconducting magnetic energy replaces from the battery system. The modeling and transient performance simulation is effective for reducing transient influence caused by sudden charge of effective load. The main purpose of power electronic converters is to convert the DC power output from the fuel cell and other to a suitable AC voltage, which can be connected to electric loads directly (PMSM). The fuel cell and other output is connected to the DC-DC converter, which regulates the DC link voltage.

• 한국인터넷방송통신학회논문지
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• 제21권1호
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• pp.115-120
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• 2021

본 논문에서는 비례공진 전류제어기 기반의 단상 영구자석 동기전동기의 운전 알고리즘을 제안하였다. 일반적으로 단상 영구자석 동기전동기의 경우 회전자의 형상에 따른 비대칭 공극이 발생할 수 있으며, 이는 고속 운전시 소음과 진동의 원인이 된다. 따라서 본 논문에서는 제어 안정성이 뛰어난 비례공진 전류제어기를 적용한 단상 영구자석 동기전동기의 운전 알고리즘을 제안하였다. 비례공진 전류제어기법은 정상상태 오차가 없고 왜란에 대해 비교적 강인한 특성을 가지고 있으며, 복잡한 연산과정 없이 교류입력의 정상상태를 제거할 수 있다. 제안한 알고리즘의 유효성과 타당성을 실험을 통해 검증하였다.