• 대한전기학회논문지
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• 제38권11호
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• pp.905-912
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• 1989

An adaptive control scheme is presented for uncertain systems whose uncertainties are upper-bounded by a linear combination of unknown constants and known continuous functions. The state of the closed-loop system is proven to be ultimately bounded. The proposed method modifies the method of Corless and Leitmann in the following two respects. First, the linear region of the saturation function in controller is fixed. Second, the intergration from in parameter estimator is replaced by a low pass filter form. These modifications prevent performance degradation and destabilization of the control system more effectively. The norm of the system states can be made sufficiently small by an appropriate choice of design parameters in the control law. The applicability of the proposed scheme is demonstrated in the position control of a simple pendulum via simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 B
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• pp.1245-1247
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• 2004

This paper considers the design and implementation of novel technique of speed estimation and control for IPMSM using hybrid intelligent control. The hybrid combination of neural network and adaptive fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of IPMSM using adaptive neural network fuzzy(A-NNF) and estimation of speed using artificial neural network(ANN) controller. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new hybrid intelligent control.

• 한국군사과학기술학회지
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• 제10권4호
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• pp.160-167
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• 2007

In this paper, we presented the development results of high speed wavefront sensor which is used in diagnosing the beam quality of He-Ne laser for adaptive optics system. The beam quality information of laser in AO system is necessarily required for diagnosing the optical components or correcting the distorted wavefront afterward. According to system requirements, normally, it is requested that there are high precision of measurement and real time processing speed. The developed wavefront sensor in this paper achieved maximum 30Hz of measurement rate and ${\lambda}/20(\;{@}\;{\lambda}=0.6328{\mu}m)$ of measurement precision in RMS. We also applied the developed into an experimental adaptive system and verified the performance of it by correcting the aberrated wavefront with a rate of 30Hz and $\lambda$/20 precision using the combination of the developed and PID control algorithm.

• 한국전자파학회논문지
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• 제27권9호
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• pp.808-816
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• 2016

본 논문에서는 단일포트시스템으로 설계된 배열안테나에서 수신신호의 스펙트럼 분포로부터 목표신호와 재밍신호를 분리하여 목표신호 방향의 주빔 왜곡을 최소화 하며, 재밍신호 방향으로 패턴 널(null)을 형성하는 새로운 기법 및 비용함수를 제안한다. 제안한 비용함수는 최적화 알고리즘의 한 종류인 PSO(Particle Swam Optimization) 알고리즘과 gradient-based 섭동 알고리즘을 혼합한 적응형 알고리즘에 적용하여 시간에 따라 재밍신호의 입사방향이 변화하는 이동형 재밍환경에서도 적응적으로 안정적인 널링 성능을 가진다.

• 한국멀티미디어학회논문지
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• 제3권6호
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• pp.625-632
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• 2000

차세대 대용량 멀티미디어 무선통신시스템의 실현 및 주파수의 효율적 이용을 위해 불가결한 멀티 마이크로 셀 환경 하에서의 효율적인 시스템 구성을 위해서는 정보의 종류 및 트래픽의 시간적인 변동에 대해서 유연한 액세스 제어가 필요하다. 본 논문에서는 높은 시스템 용량을 실현하기 위해, 송신 단말의 평균 CNR(반송파 전력대 잡음 전력비)에 대응하여 변조 파라미터를 동적으로 설정하는 저속적응변조방식과 트래픽 상황에 대응하여 TDMA 데이터 슬롯 수를 가변으로 하는 멀티 슬롯 할당 방식을 조합시켰다. 적응 멀티 슬롯 할당 방식을 제안하고, 제안방식의 평균 메시지 지연 특성을 시뮬레이션에 의해 평가한다.

• Journal of Power Electronics
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• 제12권3호
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• pp.468-476
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• 2012

The interior permanent magnet synchronous motor (IPMSM) has been widely used in electric vehicle applications due to its excellent power to weigh ratio. This paper proposes the maximum torque control of an IPMSM drive using an adaptive learning (AL) fuzzy neural network (FNN) and an artificial neural network (ANN). This control method is applicable over the entire speed range while taking into consideration the limits of the inverter's rated current and voltage. This maximum torque control is an executed control through an optimal d-axis current that is calculated according to the operating conditions. This paper proposes a novel technique for the high performance speed control of an IPMSM using AL-FNN and ANN. The AL-FNN is a control algorithm that is a combination of adaptive control and a FNN. This control algorithm has a powerful numerical processing capability and a high adaptability. In addition, this paper proposes the speed control of an IPMSM using an AL-FNN, the estimation of speed using an ANN and a maximum torque control using the optimal d-axis current according to the operating conditions. The proposed control algorithm is applied to an IPMSM drive system. This paper demonstrates the validity of the proposed algorithms through result analysis based on experiments under various operating conditions.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.817-818
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• 2006

In Magnetic Resonance Imaging(MRI), the QRS complex of ECG is used as a trigger signal for MRI scan. But, gradient and RF(radio frequency) artifacts which are caused to static and dynamic field in MRI scanner cause interference in the ECG. Also, the signal shape of theses artifacts can be similar to the QRS-complex, causing possible misinterpretation during patient monitoring and false gating of the MRI. In case of using general FIR or IIR band-pass filters for minimizing the artifacts, artifact-reduction-ratio is not excellent. So, an adaptive real-time digital filter is proposed for reduction of noise by gradient and RF(radio frequency) artifacts. The proposed filter for MRI-Gating is based on the noise-canceller with NLMS(Normalized Least Mean Square) algorithm. The reference signals of the adaptive noise canceller are a combination of the noisy three channel ECG signals. In conclusions, the proposed method showed the acceptable quality of ECG signal with sufficient SNR for gating the MRI and possibility of real time implementation.

• Journal of Electrical Engineering and Technology
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• 제12권3호
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• pp.1146-1155
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• 2017

Normally, the artificial intelligence algorithms are widely applied to the optimal controller design. Then, it is expected that the best output performance is achieved. Unfortunately, when resulting controller parameters are implemented by using the practical devices, the output performance cannot be the best as expected. Therefore, the paper presents the optimal controller design using the combination between the state-space averaging model and the adaptive Tabu search algorithm with the new criteria as two penalty conditions to handle the mentioned problem. The buck-boost converter regulated by the cascade PI controllers is used as the example power system. The results show that the output performance is better than those from the conventional design method for both input and load variations. Moreover, it is confirmed that the reported controllers can be implemented using the realistic devices without the limitation and the stable operation is also guaranteed. The results are also validated by the simulation using the topology model of MATLAB and also experimentally verified by the testing rig.

• 한국통신학회논문지
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• 제29권8A호
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• pp.859-867
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• 2004

최선형 서비스를 지향하는 인터넷에서 양질의 미디어 스트리밍을 서비스하기 위해서는 시간에 따라 변하는 네트워크 대역폭에 적응할 수 있는 스트리밍 기법이 필요하다. 본 논문에서는 미디어 패킷들의 중요도에 기반 한 적응형 전송 기능을 가진 MPEG-4 스트리밍 시스템을 설계하고 구현한다. 구현 시스템은 기초 스트림 제공자, 동기계층, DMIF 계층 등의 기본 MPEG-4 시스템 구성요소들과 데이터 우선순위화에 따른 FEC 제어 기반 적응형 전송 모듈로 구성된다. 구체적으로, 동기 계층 패킷들은 객체 단위에 기반하여 우선순위화되어 전송모듈로 전달되며 신뢰적 전송을 위해 FEC 부호화된다. FEC 조합은 수신측 피드백 정보에 따라 동적으로 조절되며 대역폭 제한에 맞추어 중요도가 떨어지는 패킷들을 폐기한다. 에뮬레이션기반 테스트베드에서의 실험 결과는 제안 시스템이 네트워크 대역폭 변동의 영향을 줄이고 스트리밍 서비스의 질을 향상시킬 수 있음을 보여준다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.895-896
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• 2008

We propose a adaptive combination of affine projection algorithm (APA) filters with different update interval. Two APA filters with different update interval are adapted independently in order to keep the advantages of both component filters. This novel scheme provides improvement of performance in term of the convergence rate and the steady-state error. Experimental results show good properties of the proposed algorithm.