• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.307-310
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• 2003

본 논문에서는 대표적인 비선형 동특성을 가지는 실제 헬리콥터의 회전 띤 자세 운동을 근사화한 모형 헬리콥터의 시스템을 소개하고 이 시스템의 정지 자세 제어를 목표로 직접 적응 웨이브렛 신경회로망 제어기를 다음의 과정에 의해 만든다. 우선 상태 공간에 적용할 웨이브렛 기준 함수를 정의하고 나서 제어기로 들어오는 입력 값의 대략적인 범위와 특성을 파악해서 웨이브렛 이론에 근거해 신축(dilation)과 이동(traslation) 변수 값을 선택하여 초기 적응 웨이브렛 신경회로망 제어기를 건설한다. 마지막으로 시스템의 안정화 제어를 위하여 선택, 교배, 돌연변이의 진화연산자에 의해 일시에 최적의 구조와 결합가중치로 진화시켜 가는 새로운 형태의 ENNC를 제안하여 연결 가중치(weight)를 조정한다. 이 직접 적응 웨이브렛 신경회로망 제어기를 비선형 시스템인 모형 헬리콥터 시뮬레이터에 적용하여 제안한 제어기의 견실성 및 그 우수성을 입증하고자 한다.

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.2
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• pp.138-143
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• 1999

A new control method for the precision robust position control of a brushless DC(BLDC) motor for direct drive m motor(BLDDM) system using the asymptotically stable adaptive load torque observer is presented. A precision position c control is obtained for the BLDD motor system appro성mately linearized using the fieldlongrightarroworientation method. Many of t these motor systems have BLDD motor to obtain no backlashes. On the other hand, it has disadvantages such as the h high cost and more complex controller caused by the nonlinear characteristics. And the load torque disturbance is d directly affected to a motor shaft. To r밍ect this problem, stability analysis is calTied out using Lyapunov stability t theorem. Using this results, the stability is proved and load disturbance detected by the asymptotically stable adaptive observer is compensated by feedforwarding the equivalent CUlTent having the fast response.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.4
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• pp.35-44
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• 1989

In this paper, a precisely speed-controlled DC servo motor system utilizing direct adaptive control (DAC) algorithm which require that neither satisfaction of the perfect model following conditions (PMFC) nor explicit parameter identification is proposed. Computer simulation as well as experiments using MC-68000 are implemened with the above input trajectory fairly well in spite of load disturbances and parameter variations. Presented algorithm is simple and effective both in software and hardware applications.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.6
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• pp.99-108
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• 1998

In this paper, we proposed a multi-layer neural network for direct control method of nonlinear system. The proposed control method uses neural network as the controller to learn inverse model of plant. The neural network used consists of two parts; one part is for identification of linear part, and the other is for identification of nonlinear part of inverse system. The neural network has to be learned the liner part with RLS algorithm and the nonlinear part with error of plant. From the simulation and experiment of tracking control to use one link manipulator as plant, we proved usefulness of the proposed control method to comparing to conventional direct neural network control method. By comparing the two methods, from simulation and experiment, we were convinced that the proposed control method is more simple and accuracy than the conventional method. Moreover, number of weight and bias to be controller parameter are small, and it has smaller steady state error than conventional method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.7B
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• pp.891-894
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• 2001

본 논문에서는 능동 배열 안테나에서 RF 대신 중간주파수를 이용하여 빔 추적을 하는 방법이 연구되었다. 안테나의 각 배열은 전압제어 발진기, 위상추적기, 혼합기와 결합되어 있으며 혼합기는 안테나 상에서 직접 RF 신호를 직접 중간주파수 신호로 변환시킨다. 전압제어 발진기 입력은 위상추적기에 의하여 조절되며 배열 안테나의 주사범위는 위상추적기와 전압제어발진기에 의하여 결정되었다.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.81-83
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• 2001

본 논문에서는 EMTDC/PSCAD 패키지를 이용하여 배전용 정지형보상기(DSTATCOM)의 모델을 제안하였고, 이를 비선형 부하를 가지는 배전계통의 전력품질 향상을 위해 "직접" 출력전압 제어 기술을 적용하였다. 1선 지락 사고시에 본 논문에서 제시한 방법을 이용한 시뮬레이션을 통해 전압 파형이 개선되고, 고조파가 감소되며, 선로 전압 조정을 할 수 있음을 보였다.

• Proceedings of the KIPE Conference
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• 2013.07a
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• pp.265-266
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• 2013

본 논문에서는 직접 토크 제어 방식(Direct Torque Control, DTC)을 이용하는 표면 부착형 영구자석 동기 전동기(Surface Mounted Permanent Magnet Synchronous Motor, SPMSM)의 전압과 전류 제한에 따른 운전 영역을 자속 평면에서 분석하고, 운전 영역에 따른 최대 토크 운전을 위한 최적의 자속 벡터 선정기법을 제안하였다.

• Proceedings of the KIPE Conference
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• 2013.07a
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• pp.86-87
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• 2013

본 논문에서는 직접 토크 제어(Direct Torque Control, DTC) 방식을 이용한 매입형 영구자석 동기전동기(Interior Permanent Magnet Synchronous Motor, IPMSM)의 운전 영역을 자속 평면에서 분석하고, 약자속 제어를 포함한 전 운전 영역에서의 최대 토크 운전 기법을 제안하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.3
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• pp.603-610
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• 2000

In this paper, the direct and indirect adaptive controller are combined based on the Lyapunov synthesis approach. The Proposed controller is constructed from RBF Neural Network and weighting parameters are adjusted on-line according to some adaptation law. In this scheme, fuzzy IF-THEN rules are used to decide the combined weighting factor. In the results, proposed controller has the main advantages of both the direct adaptive controller and the indirect adaptive controller. The effectiveness of the proposed control scheme is demonstrated through simulation results of control for one-link rigid robotics manipulator.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.05a
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• pp.406-409
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• 2000

We propose the modified neural network which are paralleled to control nonlinear systems. The proposed method is a direct control method to use inverse model of the plant. Nonlinear systems are divided into two parts; linear part and nonlinear part, and it is controlled by RLS method and recursive multi-layer neural network with each other. We simulate to verify the performance of the proposed method and are compared with conventional direct neural network control method. The proposed control method is improved the control performance than the conventional method.