• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 춘계학술대회 논문집 에너지변화시스템부문
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• pp.29-31
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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 an efficiency optimization control for the SynRM which minimizes the copper and iron losses. The design of the speed controller based on fuzzy-neural networks (FN)-PI controller that is implemented using fuzzy control and neural networks. 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. It is shown that the current components which directly govern the torque production have been very well regulated by the efficiency optimization control scheme. The proposed algorithm allows the electromagnetic losses In variable speed and torque drives to be reduced while keeping good torque control dynamics. 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.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2009년도 추계학술발표대회 논문집
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• pp.388-393
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• 2009

It is important to know character about efficiency of converters before manufacturing it. Recently, various techniques are developed for solar array system. Converters can be used for control of solar array's condition. So, solar array with converter structures are very useful. If we want to measure converter's efficiency after manufacturing it. It's not difficult if we have measuring equipment. But we need to measure efficiency before realization converters for development of optimized efficiency and simulations. This research offers an efficiency calculation of single phase hard switching boost converter. And it is the most basic type of converters. In fact, it can be used techniques for getting higher efficiency like soft-switching and more. But the cost is an important issue in compact solar array system. One way to escape from the cost problem is finding optimized efficiency of basic types of convener.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집(한일합동학술편); 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.747-752
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• 1987

The dynamic characteristics of a load-sensing hydraulic servo system are complex and highly unstable. Another property of the system is that the setting value of pump compensator is closely related to energy efficiency as well as control performance of the system. This necessitates the development of an effective control algorithm which guarantees good control performance, stability and energy efficiency. This paper considers a suboptimal PID control for the velocity control problem of the load-sensing hydraulic servo system. The results of simulations studies and experiments show that the proposed suboptimal controller can produce much better control performance than nonoptimal controllers and give effective energy efficiency.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.413-435
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• 2018

Although the accuracy of handwritten character recognition based on deep networks has been shown to be superior to that of the traditional method, the use of an overly deep network significantly increases time consumption during parameter training. For this reason, this paper took the training time and recognition accuracy into consideration and proposed a novel handwritten character recognition algorithm with newly designed network structure, which is based on an extended nonlinear kernel residual network. This network is a non-extremely deep network, and its main design is as follows:(1) Design of an unsupervised apriori algorithm for intra-class clustering, making the subsequent network training more pertinent; (2) presentation of an intermediate convolution model with a pre-processed width level of 2;(3) presentation of a composite residual structure that designs a multi-level quick link; and (4) addition of a Dropout layer after the parameter optimization. The algorithm shows superior results on MNIST and SVHN dataset, which are two character benchmark recognition datasets, and achieves better recognition accuracy and higher recognition efficiency than other deep structures with the same number of layers.

• 전자공학회논문지
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• 제51권1호
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• pp.52-56
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• 2014

본 논문은 고효율 전력증폭기는 무선전력전송을 위한 게이트와 드레인 바이어스 조절 회로를 사용하여 설계하였다. 이 조절 회로는 PAE (Power Added Efficiency)를 개선하기 위해 사용되었다. 게이트와 드레인 바이어스 조절 회로는 directional coupler, power detector, and operational amplifier로 구성되어있다. 구동증폭기를 사용하여 고이득 2단 증폭기는 전력증폭기의 낮은 입력단에 사용되었다. 게이트와 드레인 바이어스 조절회로를 사용하여 제안된 전력증폭기는 낮은 전력에서 높은 효율성을 가질 수 있다. PAE는 80.5%까지 향상되었고 출력전력은 40.17dBm이다.

• 전력전자학회논문지
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• 제8권3호
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• pp.211-220
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• 2003

본 논문은 직접 토오크 제어 (Direct Torque control, DTC)를 이용한 릴럭턴스 동기전동기 (Reluctance Synchronous Motor, RSM)의 최대 효율 제어에 관한 연구이다. 릴럭턴스 동기전동기의 등가모델 해석에 있어서 철손의 영향을 고려하여 이론적으로 분석하였으며, 최대효율제어를 위하여 토크 전류와 여자전류 사이의 최적 각을 유도하였다. 릴럭턴스 동기전동기의 경우는 자속이 전류에 비례하므로 유도전동기와는 달리 자속레벨을 제어하면서 토오크의 동특성을 유지할 수 있다는 특징을 가지고 있으며, 제시된 연구에서는 릴럭턴스 동기전동기의 이러한 특징을 적용하여 직접 토오크 제어의 장점인 빠른 토오크 응답특성을 유지하면서 최대 효율 제어가 이루어지도록 한다. d/q 릴럭턴스 비가 2.57인 1.0 Kw 릴럭턴스 동기전동기를 이용하여 실험을 통해 제안된 방법들의 정당성을 입증하였다.

• Journal of Magnetics
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• 제16권1호
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• pp.71-73
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• 2011

Hybrid electric vehicles have attracted much attention of late, emphasizing the necessity of developing traction motors with a high input current and a wide speed range. Among such traction motors, various researches have been conducted on interior permanent-magnet synchronous motors (IPMSMs) with high power density and mechanical solidity. Due to the complexity of its parameters, however, with nonlinear motor characteristics and current vector control, it is actually difficult to accurately estimate the base speed within an actual operating speed range or a voltage limit. Moreover, it is impossible to construct an efficiency map as the efficiency differs according to the control mode. In this study, a simulation method for operation performance considering the nonlinearity of IPMSM was proposed. For this, datasets of various nonlinear parameters were made via the finite-element method and interpolation. Maximum torque-per-ampere and flux-weakening control were accurately simulated using the datasets, and an IPMSM efficiency map was accurately constructed based on the simulation. Lastly, the validity of the simulation was verified through tests.

• 대한기계학회논문집A
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• 제41권9호
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• pp.817-823
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• 2017

기존에는 연비를 고려한 적응형 순항 제어 알고리즘 개발과 연비 등의 성능을 고려한 적응형 순항 제어 시스템 개발 연구가 수행되었지만, 제어 파라미터를 포함한 차량 파라미터의 적응형 순항 제어에 대한 최적설계 연구는 미흡한 편이다. 이에 본 논문에서는 연비, 추종성, 승차감, 안전거리를 고려한 차량 및 제어 파라미터 최적설계를 수행하고자 한다. 이를 위해 차량 거동의 성능 측정 방법을 제안하고 적응형 순항 제어 시스템을 구축하였다. 그리고 성능에 주요한 영향을 미치는 차량 파라미터를 선별하여 이를 토대로 순차적 실험계획을 통해 크리깅 대체모델을 구축하였고, 연비를 최대화하며 목표 성능을 만족하는 크리깅 대체모델 기반 최적설계를 수행하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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• pp.563-565
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• 2005

This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor(SynRM) which minimizes the copper and iron losses. ALso, this paper presents a sensorless control scheme of SynRM using artificial neural network(ANN). The proposed algorithm allows the electromagnetic losses in variable speed and torque drives to be reduced while keeping good torque control dynamics. The control performance of ANN is evaluated by analysis for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.207-212
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• 2002

As is well-known, the maximum power point(MPP) of PV power generation system depends on array temperature and solar insolation, it is necessary to track MPP of solar array all the time. Among various MPP control algorithms, the constant voltage control method, the perturbation and observation(P&O) method and the incremental conductance method(IncCond) have drawn many attractions due to the usefulness of each system. In this paper, the effectiveness of above mentioned three different control algorithms are thoroughly investigated via simulations and proposed efficiency evaluation method on experiment. Both the steady-state and transient characteristics of each control algorithms along with measured efficiency are analyzed, respectively. Finally, a novel MPPT control algorithm combining the constant voltage control and IncCond method for low insolation condition is proposed to improve efficiency of the 3KW PV power generation system.