• 전력전자학회논문지
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• 제11권4호
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• pp.321-327
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• 2006

본 논문은 다출력 전원장치에 적용되는 플라이백 컨버터를 위한 자동 동기 스위치 포스트 레굴레이터를 제안한다. 제안된 회로는 기존의 스위치 포스트 레굴레이터의 단점인 구동회로 구현 및 주 출력과 보조 출력의 동기의 어려움으로 인한 복잡한 회로구성이 새로운 자동동기 스위치로 간단하게 구성된다. 제안된 회로를 적용함으로서 각 출력의 전압가변과 정밀한 레굴레이션이 요구되는 다중출력 전원장치를 간단한 구성과 저렴한 가격으로 제작할 수 있으며, 이론적 해석 및 시뮬레이션 그리고 실험을 통하여 제안 회로의 타당성을 입증하였다.

• 한국공간구조학회논문집
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• 제13권3호
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• pp.91-98
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• 2013

A multi-input single-output (MISO) semi-active control systems were studied by many researchers. For more improved vibration control performance, a structure requires more than one control device. In this paper, multi-input multi-output (MIMO) semi-active fuzzy controller has been proposed for vibration control of seismically excited small-scale buildings. The MIMO fuzzy controller was optimized by multi-objective genetic algorithm. For numerical simulation, five-story example building structure is used and two MR dampers are employed. For comparison purpose, a clipped-optimal control strategy based on acceleration feedback is employed for controlling MR dampers to reduce structural responses due to seismic loads. Numerical simulation results show that the MIMO fuzzy control algorithm can provide superior control performance to the clipped-optimal control algorithm.

• 전기학회논문지
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• 제60권3호
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• pp.625-631
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• 2011

This paper presents a discrete-time output feedback consensus algorithm for Multi-Agent Systems (MAS). Under the assumption that an agent is aware of the relative state information about its neighbors, a state feedback consensus algorithm is designed based on Linear Matrix Inequality (LMI) method. In general, however, it is possible to obtain its relative output information rather than the relative state information. To reconcile this problem, an Unknown Input Observer (UIO) is employed in this paper. To this end, first it is shown that the relative state information can be estimated using the UIO and the measured relative output information. Then a certainty-equivalence type output feedback consensus algorithm is proposed by combining the LMI-based state feedback consensus algorithm with the UIO. Finally, simulation results are given to illustrate that the proposed method successfully achieves the state consensus.

• 한국정보통신학회논문지
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• 제17권7호
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• pp.1577-1582
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• 2013

본 논문에서는 수조에서 실험을 통해 획득한 데이터를 이용하여 MIMO (Multi-Input Multi-Output) 수중음향통신의 성능을 분석하였다. 이를 위하여 먼저 여러 송수신 위치에서 채널 전달 특성을 측정하였다. 송신신호는 QPSK (Quadrature Phase Shift Keying)로 변조하였으며, 수신신호는 Zero Forcing 등화기 등을 포함하는 검출기를 거쳐 복원되었다. 실험이 이루어진 수조 환경이 물리적으로 폐쇄된 매우 심한 다중 경로 전달 환경이어서 최대 30~40 ms의 지연 현상이 나타났다. 실험 결과 송신 및 수신 센서가 각각 두 개인 $2{\times}2$ MIMO 시스템을 사용하였을 때 채널 특성으로 인해 비트 오차율이 비교적 크게 나타났지만 SISO (Single-Input Single-Output) 시스템에 비해 약 15% 정도 향상된 성능을 갖는 것을 확인하였다.

• 전자공학회논문지A
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• 제32A권11호
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• pp.94-104
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• 1995

In this paper, we present a new multi-level logic synthesis method for producing the multi-level circuits which can be easily tested by the pseudoexhaustive testing techniques. The method consists of four stages. In the first stage, it generates the minimum variable supports for each output of a multiple-output function. In the second stage, it removes the minimum variable supports which if used to implement the outputs, lead to inefficient pseudoexhaustive test. In the third stage, it determines the minimum variable support and logic (uncomplementary or complementary logic) for each output. In the fourth stage, it performs the multi-level logic synthesis so that each output. In the fourth stage, it performs the multi-level logic synthesis so that each output has the minimum variable support and logic determined in the third stage. To evaluate the performance and quality of the proposed method, we have experimented on the 56 benchmark examples. The results show that for 56 examples, our method obtains better results than MIS in terms of testability. Moreover, the method produces better results for 19 examples and the same results for 12 examples compared with MIS in terms of literal count although it has been developed to improve the testability.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.1100-1101
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• 2008

After lamination process, Isc is increased by sheet reflection. This paper presents the electrical output characteristics by back sheet reflection. The experiments was conducted by using single crystalline and multi crystalline PV module. The reflection area of single crystalline PV module is larger than multi one due to the difference of solar cell manufacturing. The experiments show that the increased performance ratio of single crystalline PV module output power is 1.55% rather than that of multi crystalline PV module output power is 1.13%. In addition, it is expected that the output power of single one rather than multi-one is increased by the lower temperature when the PV module is installed outside. The results can be reconsidered by the test material and test process. Back sheet used for humidity prevention makes PV module output power increasing.

• 한국정보통신학회논문지
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• 제12권11호
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• pp.2015-2021
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• 2008

최근 태양광 발전시스템 등 낮은 전압을 발생하는 전원소스를 이용하여 높은 승압효과를 얻기 위한 멀티레벨 인버터에 대한 관심이 높아지고 있다. 본 연구에서는 DC/DC의 출력전압 리플 저감을 위한 새로운 구조의 다중레벨 DC/DC 컨버터를 제안한다. 제안된 컨버터는 Buck컨버터를 직렬로 연결하여 다중전압을 발생하는 구조를 취함으로 기존의 Buck 컨버터에 비하여 출력 전압의 리플을 저감할 수 있었다. 또한 FPGA 기반 멀티레벨 인버터용 스위칭 함수를 구현하고자 하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1979년도 하계 전자.전기연합학술발표회논문집
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• pp.26-28
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• 1979

The optimal selection of Prime Implications for the multi-output switching function is difficult task, as the input variables increase. This paper is concerned with the technique for the minimization of the multi-output switching function using the intersection table. This procedure is applicable to both manual and computer-programmed realization without complexity.

• 전기학회논문지
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• 제58권4호
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• pp.832-839
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• 2009

In this paper, we introduce an design of fuzzy relation-based fuzzy neural networks with multi-output. Fuzzy relation-based fuzzy neural networks comprise the network structure generated by dividing the entire input space. The premise part of the fuzzy rules of the network reflects the relation of the division space for the entire input space and the consequent part of the fuzzy rules expresses three types of polynomial functions such as constant, linear, and modified quadratic. For the multi-output structure the neurons in the output layer were connected with connection weights. The learning of fuzzy neural networks is realized by adjusting connections of the neurons both in the consequent part of the fuzzy rules and in the output layer, and it follows a back-propagation algorithm. In addition, in order to optimize the network, the parameters of the network such as apexes of membership functions, learning rate and momentum coefficient are automatically optimized by using real-coded genetic algorithm. Two examples are included to evaluate the performance of the proposed network.

• Journal of Advanced Marine Engineering and Technology
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• 제39권10호
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• pp.1031-1036
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• 2015

Proportional-integral-derivative (PID) controllers are widely used in industrial sites. Most tuning methods for PID controllers use an empirical and experimental approach; thus, the experience and intuition of a designer greatly affect the tuning of the controller. The representative methods include the closed-loop tuning method of Ziegler-Nichols (Z-N), the C-C tuning method, and the Internal Model Control tuning method. There has been considerable research on the tuning of PID controllers for single-input single-output systems but very little for multi-input multi-output systems. It is more difficult to design PID controllers for multi-input multi-output systems than for single-input single-output systems because there are interactive control loops that affect each other. This paper presents a tuning method for the PID controller for a two-input two-output system. The proposed method uses a real-coded genetic algorithm (RCGA) as an optimization tool, which optimizes the PID controller parameters for minimizing the given objective function. Three types of objective functions are selected for the RCGA, and each PID controller parameter is determined accordingly. The performance of the proposed method is compared with that of the Z-N method, and the validity of the proposed method is examined.