• The Transactions of the Korean Institute of Power Electronics
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• v.27 no.4
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• pp.356-366
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• 2022

This paper presents a mode transition method that applies frequency compensation technique of an LLC resonant converter for stable mode transition. LLC resonant converters used in various applications require high efficiency and high power density. However, because of circuit property, a wider voltage gain range equates to a greater circuit loss, so maintaining high efficiency at all voltage gain ranges is difficult. In this case, full bridge-half bridge mode transition method can be used, which maintains high efficiency even in a wide voltage gain range. However, this method causes damage to the circuit through overcurrent by the mode transition. This study analyzes the cause of the problem and proposes a mode transition method that applies frequency compensation technique to solve the problem. The proposed method verifies the stable transition through simulation analysis and experimental results.

• The Transactions of the Korean Institute of Power Electronics
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• v.28 no.1
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• pp.22-29
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• 2023

A grid-connected inverter can be used in grid-connected or stand-alone modes. Generally, a grid-connected inverter operates in a grid-connected mode, but the inverter operates in stand-alone mode if grid faults occur. In the stand-alone mode, the grid-connected inverter must supply electric power to a critical load that needs to receive stable power even though grid faults occur. Generally, three-phase loads are used as critical loads, but a single phase is configured in some cases. In these conditions, the critical load is required to unbalance the load power consumption, which makes the three-phase load voltage unbalancd. This unbalanced voltage problem can cause fatal problems to the three-phase critical loads, and thus must be addressed. Hence, this paper proposes an algorithm to solve this unbalanced voltage problem by the individual phase current control. The proposed method is verified using Psim simulation and experiments.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.229-233
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• 2007

VoIP(Voice over Internet Protocol)란 음성 데이터를 IP 데이터그램 방식으로 기존 인터넷망을 통해 전달해 주는 기술을 말한다. 기존 인터넷망을 이용하여 음성 데이터를 전달해 줌으로써 기존의 음성 전화 서비스에서 사용되던 회선비용을 크게 절감할 수 있다는 점은 VoIP의 장점 중 하나이다. 그런데 VoIP를 기존의 인터넷망에 그대로 적용하기에는 VoIP에서 사용되는 프로토콜의 특성으로 인해 어려움이 따르게 된다. 즉, 기존의 인터넷망에서 사용되고 있는 방화벽과 NAT(Network Address Translator)장비는 보안을 위해서는 필수적인 요소들 이지만, VoIP의 통신 입장에서는 음성 데이터의 원활한 통신을 방해하는 요소로 작용을 하게 된다. 이러한 문제는 VoIP 통신에 사용되는 시그널링 프로토콜인 H.323과 SIP 프로토콜의 연결 설정과 데이터 전송에 사용되는 동작 방식이 방화벽과 NAT장비의 기능에 충돌하는 점 때문에 발생하게 된다. 따라서 기존의 인터넷망을 그대로 사용하면서 VoIP의 통신이 원활하게 이루어지도록 하기 위해서는 이러한 문제의 해결이 반드시 이루어져야 한다. 본 논문에서는 기존에 Firewall/NAT Traversal 문제 해결을 위해 연구되던 기법들에 대해 살펴보고, 새로운 구조를 제시한다.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.64.5-64
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• 2002

This paper concerns a new digital redesign (DR) technique for an observer-based output-feedback control (OBOFC) system. The term DR involves converting an analog controller into an equivalent digital one in the sense of state-matching. The considered DR problem is formulated as convex minimization problems of the norm distances between linear operators to be matched. The stability condition is easily embedded and the separation principle on the DR of the OBOFC is explicitly shown. A numerical example is included for visualizing the feasibility of the proposed technique.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.46.4-46
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• 2002

This study was motivated how it might be possible to validate structured sampling with orthogonal array for optimal design of a pin. The Taguchi method by orthogonal array, one of the structured sampling methods, has much advantage that is row cost and time saving for experiments. But this method has been applied in limited areas especially for mechanical problems. In this study, we experimented whether the structured sampling is useful for applying optimal design of mechanical elements. For the experiment, we first set up a mechanical problem which was related to determining optimal parameters associated a pin's crack occurred inside a hole. We, then, calculated combination of...

• Proceedings of the KIEE Conference
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• 1998.07a
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• pp.334-336
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• 1998

This paper deals with the problem of the magnetizing yoke fixture. The experimental test has been performed using the yoke fixture made of bakelite as well as ferromagnetic. The magnetizing current is the most essential criterial factor for delivering the impulse energy to the magnetized material, i.e ferrite core. The yoke of nonferromagnetic has shown its better performance in experimental results as well as in the finite element analysis.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1830-1831
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• 2006

In this paper, the search is conducted along each of the coordinate directions for finding the minimum. If $e_i$ is the unit vector along the coordinate direction i, we determine the value a, minimizing f(a)= $f(x+ae_i)$, where a is a real number. A move is made to the new point $x+a_ie_i$ at the end of the search along the direction i. In an n dimensional problem, we define the search along all the directions as one stage. The function value at the end of the stage is compared to the value at the beginning of the stage in establishing the convergence. The gradient appears to be zero at point. We can safeguard this by introducing an acceleration step of one additional step along the pattern direction developed by moves along the coordinate directions.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2528-2530
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• 2004

Neural network minimization problems are often conditioned and in this contribution way to handle this will be discussed. It is shown that a better conditioned minimization problem can be obtained if the problem is separated with respect to the linear parameters. This will increase the convergence speed of the minimization. One of the most powerful uses of neural networks is in function approximation(curve fitting)[1]. A main characteristic of this solution is that function (f) to be approximated is given not explicitly but implicitly through a set of input-output pairs, named as training set, that can be easily obtained from calibration data of the measurement system. In this context, the usage of Neural Network(NN) techniques for modeling the systems behavior can provide lower interpolation errors when compared with classical methods like polynomial interpolation. This paper solve of single-variable minimization using neural network.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.424-427
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• 1995

In this paper, a control law based on the receding horizon concept which robustly stabilizes time-varying discrete linear systems, is proposed. A dynamic game problem minimizing the worst case performance, is adopted as an optimization problem which should be resolved at every current time. The objective of the proposed control law is to guarantee the closed loop stability and the infinite horizon $H^{\infty}$ norm bound. It is shown that the objective can be achieved by selecting the proper terminal weighting matrices which satisfy the inequality conditions proposed in this paper. An example is included to illustrate the results..

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.6
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• pp.539-544
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• 2013

This study provides a solution method for the inverse heat conduction problem based on a combination of a public domain CAE (computer aided engineering) software and a commercial CAO (computer aided optimization) software. The solver system has been implemented without any in-house coding. The proposed method is simple to implement. Moreover, it can be easily reproduced.