• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.196-198
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• 2007

전력계통에서 상태추정은 신뢰도 높은 제어를 위해 매우 중요한 역할을 한다. 최근에는 상태추정 문제를 위해 가중최소자승법과 fast decoupled 방법이 많이 쓰이고 있다. 그러나 이런 알고리즘들은 지역해로 수렴하기 쉬운 단점이 있다. 이런 문제점을 극복하기 위해 PSO와 같은 heuristic한 방법을 이용한다. 본 논문에서는 전력계통에서 상태추정의 최적해를 구하기 위한 방법으로 PSO 알고리즘을 제안한다. 제안한 PSO알고리즘의 유용함을 증명하기 위해 IEEE-118모선 시스템에 적용해 보고, 그 결과로부터 전력계통의 상태 추정에 PSO 알고리즘의 적용가능성을 증명하였다.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.8
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• pp.410-417
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• 2005

This paper analyses the transient phenomena against single line to ground fault and lightning surge on underground power cable systems. For analysis in various fault conditions, several actual underground power cable systems are modeled using ATP In ground fault, the transient characteristic of the conductor and the sheath according to the fault current and the installation types of CCPU are analysed. In lightning surge strokes, the various unbalanced conditions including the length of crossbonded lead, the breakdown of CCPU and distance unbalance are considered. This paper is expected to contribute the establishment of proper protection methods against transients on underground power cable systems.

• Proceedings of the KIPE Conference
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• 2017.11a
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• pp.137-138
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• 2017

본 논문에서는 각형 형태의 120Ah 고용량 배터리 ($LiNiMnCoO_2$; NMC)의 내부 파라미터 추출을 통해 배터리 관리 시스템(battery management system;BMS)에 중요한 팩터로 0.1C 및 0.25C 방전 조건에서 확장칼만필터(extended Kalman fileter;EKF) 기반으로 SOC(state-of-charge)를 추정하였다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.117_118
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• 2009

송전선 경과지 선정의 어려움과 같은 여러 가지 이유로 송전 설비를 확충하는데 어려움을 겪고 있다. 이에 따라 기존 송전 설비의 활용도를 높이는 방법으로 전력 계통의 신뢰도를 극대화할 필요가 있으며, 최근 이의 한 방편으로, 전력공급의 유연성 및 신뢰성을 확보할 수 있는 송전기술인 유연송전시스템(FACTS: Flexible AC Transmission System)이 사용되고 있다. 본 논문에서는 유연송전시스템을 포함한 전력계통의 모델을 설정하고, 이를 포함한 전력�墳育� 상태추정을 수행하였다. 개발된 프로그램은 6모선 시험계통을 이용하여 타당성을 검증하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.582-584
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• 2011

This paper presents a Channel DiVision (CDV) scheme for transform-domain distributed video coding. In the proposed system, we employ the symmetric motion estimation to generate high quality side information for Wyner-Ziv (WZ) frames. Also, the decoder estimates the distortion of the side information, which is used to classify the transmitting channels for WZ frames. Each channel has a different expected noise. Then, the encoder allocates an appropriate number noise. Then, the encoder allocates an appropriate number present rate-distortion performance results and comparisons with existing state-of-the-art algorithms and H.264.

• Journal of Computing Science and Engineering
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• v.6 no.4
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• pp.310-319
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• 2012

Next generation wireless receivers demand low computational complexity algorithms with high computing power in order to perform fast signal detections and error estimations. Several signal detection and estimation algorithms have been proposed for next generation wireless receivers which are primarily designed to provide reasonable performance in terms of signal to noise ratio (SNR) and bit error rate (BER). However, none of them have been chosen for direct implementation as they offer high computational complexity with relatively lower computing power. This paper presents a low-complexity power-efficient algorithm that improves the computing power and provides relatively faster signal detection for next generation wireless multiuser receivers. Measurement results of the proposed algorithm are provided and the overall system performance is indicated by BER and the computational complexity. Finally, in order to verify the low-complexity of the proposed algorithm we also present a formal mathematical proof.

• Journal of Advanced Navigation Technology
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• v.6 no.3
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• pp.211-222
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• 2002

This paper describes the utility of satellite sensors of the missile defense system using the estimation theory. The inherent flight characteristics of the missiles give the limitations in the response time and the countermeasures. In this point, the early warning and surveillance satellites are important. Using the Extended Kalman Filter, it is analysed LPU and MLU in DSP and SBIRS satellites, and presented the quantitative uncertainties of state estimates of non-rotational DSP compare to the rotating one.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.3C
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• pp.251-258
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• 2012

In this paper, we propose a novel method of multi-node frequency synchronization for distributed networks. The proposed method synchronizes carrier frequencies of all nodes in the network and this enables new entry node to synchronize immediately. Moreover, when several groups exist in the network, inter-group synchronization method is proposed. The proposed distributed frequency synchronization method is expected to be very useful for the military operation scenario that new node entry is in a state of flux and group merging and splitting frequently happen.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.54 no.1
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• pp.8-14
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• 2005

This paper is proposed hybrid artificial intelligent(HAI) controller for speed control of surface permanent magnet synchronous motor(SPMSM) drive. The design of this algorithm based on HAI controller that is implemented using fuzzy control and neural network. This controller uses fuzzy rule as training patterns of a neural network. Also, this controller uses the back-propagation method to adjust the weights between the neurons of neural network in order to minimize the error between the command output and actual output. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control performance of the HAI controller is evaluated by analysis for various operating conditions. The results of analysis prove that the proposed control system has strong high performance and robustness to parameter variation, and steady-state accuracy and transient response.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.53 no.9
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• pp.569-575
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• 2004

This paper is proposed adaptive fuzzy-neural network(FNN) controller for high performance of induction motor drive. The design of this algorithm based on FNN controller that is implemented using fuzzy control and neural network. This controller uses fuzzy rule as training patterns of a neural network. Also, this controller uses the back-propagation method to adjust the weights between the neurons of neural network in order to minimize the error between the command output and actual output. A model reference adaptive scheme is proposed in which the adaptation mechanism is executed by fuzzy logic based on the error and change of error measured between the motor speed and output of a reference model. The control Performance of the adaptive FNN controller is evaluated by analysis for various operating conditions. The results of analysis prove that the proposed control system has strong high performance and robustness to parameter variation. and steady- state accuracy and transient response.