• 제어로봇시스템학회논문지
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• 제19권5호
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• pp.390-397
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• 2013

This paper presents a consensus algorithm for uMAS (uncertain Multi-Agent Systems). Unlike previous results in which only nominal models for agents are considered, it is assumed that the uncertain agent model belongs to a known polytope set. In the middle of deriving the proposed algorithm, a convex set is found which includes all uncertainties in the problem using convexity of the polytope set. This set plays an important role in designing the consensus algorithm for uMAS. Based on the set, a consensus condition for uMAS is proposed and the corresponding consensus design problem is solved using LMI (Linear Matrix Inequality). Simulation result shows that the proposed consensus algorithm successfully leads to consensus of the state of uMAS.

• Transactions on Control, Automation and Systems Engineering
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• 제1권2호
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• pp.134-140
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• 1999

The robust generalized H2 filtering problem for a class of discrete time uncertain linear systems satisfying the sum quadratic constraints(SQCs) is considered. The objective of this paper is to develop robust stability condition using SQCs and design a robust generalized Ha filter to take place of the existing robust Kalman filter. The robust generalized H2 filter is designed based on newly derived robust stability condition. The robust generalized Ha filter bounds the energy to peak gain from the energy bounded exogenous disturbances to the estimation errors under the given positive scalar ${\gamma}$. Unlike the robust Lalman filter, it does not require any spectral assumptions about the exogenous disturbances . Therefore the robust generalized H2 filter can be considered as a deterministic formulation of the robust Kalman filter. Moreover, the variance of the estimation error obtained by the proposed filter is lower than that by the existing robust Kalman filter. The robustness of the robust generalized H2 filter against the uncertainty and the exogenous signal is illustrated by a simple numerical example.

• 한국정보통신학회논문지
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• 제10권9호
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• pp.1617-1624
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• 2006

본 논문은 분산전원시스템(DGS)을 위 한 시스템 모델링, 수정된 SVPWM 적용 그리고 수동소자인 L과 C로 구성된 Z-원 인버터의 제어기에 대하여 기술하였다. 기존의 DC/DC 승압 컨버터나 변압기를 사용하지 않고 낮은 DC 입력을 상용 AC로 만들기 위해서 SVPWM의 영벡터 구간을 이용해 DC-링크단 전압을 승압하는데 이용하였다. 한 스위칭주기에 3개조의 스위칭소자 중에 2개조만 동시 도통되도록 하여 유효벡터의 손실 없이 승압이 가능하도록 하였다. 빠르고 오버슈트가 없는 전류응답과 낮은 정상상태 전압오차를 얻기 위해서 이산시간 슬라이딩모드 전류제어기와 강인한 서보기구 전압제어기를 설계하였다. 시뮬레이션을 통하여 제안된 알고리즘의 유용성을 확인하였다.

• Journal of Power Electronics
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• 제11권3호
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• pp.311-318
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• 2011

LCL filters installed at converter outputs offer a higher harmonic attenuation than L filters. However, as a three order resonant circuit, it is difficult to stabilize and has a risk of oscillating with the power grid. Therefore, careful design is required to damp LCL resonance. Compared to a passive damping method, an active damping method is a more attractive solution for this problem, since it avoids extra power losses. In this paper, the damping capabilities of capacitor current, capacitor voltage, and grid-side current feedback methods, are analyzed under the discrete-time state-space model. Theoretical analysis shows that the grid-side current feedback method is more suitable for use in active power filters, because it can damp LCL resonance more effectively than the other two methods when the ratio of the resonance and the control frequency is between 0.225 and 0.325. Furthermore, since there is no need for extra sensors for additional states measurements, this method provides a cost-efficient solution. To support the theoretical analysis, the proposed method is tested on a 7-kVA single-phase shunt active power filter.

• 한국전자통신학회논문지
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• 제16권3호
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• pp.511-518
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• 2021

전동기의 좋은 추종 성능을 얻기 위해서는 외란 관측기가 포함되어 외란에 대응할 수 있는 제어기를 설계하는 것이 필요하다. 전동기의 외란 관측기는 1차 저역통과 필터를 기반으로 부하 토크과 역기전압을 추정하도록 설계하였다. 외란 관측기와 제어기의 상호관계를 비교하고, 개선된 제어 성능을 얻기 위하여 PI 제어기와 IP 제어기를 설계하였다. 설계된 관측기와 제어기의 성능을 확인하고자 120 [W]급의 BLDC 전동기에 적용하였다. 그 결과 오버슈트가 줄어들며, 정상상태 오차가 영으로 수렴하는 것을 확인할 수 있다.

• 한국CDE학회논문집
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• 제18권1호
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• pp.21-27
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• 2013

Presented in the paper is a log data based modeling method for effective construction of a virtual plant model which can be used for the virtual PLC (Programmable Logic Controller) simulation. For the PLC simulation, the corresponding virtual plant, consisting of virtual devices, is required to interact with the input and output symbols of a PLC. In other words, the behavior of a virtual device should be the same as that of the real device. Conventionally, the DEVS (Discrete Event Systems Specifications) formalism has been used to represent the behavior a virtual device. The modeling using DEVS formalism, however, requires in-depth knowledge in the simulation area, as well as the significant amount of time and efforts. One of the key ideas of the proposed method is to generate a plant model based on the log data obtained from the production system. The proposed method is very intuitive, and it can be used to generate the full behavior model of a virtual device. The proposed approach was applied to an AGV (Automated Guided Vehicle).

• 대한전자공학회논문지SD
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• 제48권10호
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• pp.6-14
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• 2011

본 논문에서는 배터리의 전류, 전압을 측정하기 위한 analog front-end IC 를 설계 하였다. 회로는 크게 programmable gain instrumentation amplifier (PGIA)와 델타-시그마 모듈레이터로 구성 되어 있다. 델타-시그마 모듈레이터는 2차 단일 비트 구조이고 0.25 ${\mu}m$ CMOS 공정을 사용 하였다. 설계된 회로는 오버 샘플링 비율이 256일 때 2 kHz 신호 대역에서 signal-to-noise ratio (SNR)는 82 dB 의 성능을 가지고, differential nonlinearity (DNL)은 ${\pm}$ 0.3 LSB (16bit 기준), integral nonlinearity (INL)은 ${\pm}$ 0.5 LSB 이다. 전체 소비 전력은 4.5 mW 이다.

• 한국정보통신학회논문지
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• 제25권11호
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• pp.1495-1504
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• 2021

초소형 바이너리 발전 플랜트는 열원과 냉각원 사이의 저온도차 열에너지를 이용하여 열에너지를 전력으로 변환한다. 실제 발전환경에서 플랜트의 특성치는 환경 조건이나 관련 장비의 부식과 같은 부정적인 영향으로 인해 변동하고, 플랜트 특성치의 변동은 PID 파라미터가 고정된 종래의 PID 제어시스템에서 불안정한 터빈 출력으로 이어진다. 본 논문에서는 플랜트의 특성치 변동에 따라 PID 파라미터를 적응적으로 조정하는 신경망 기반의 Neuro PID 제어시스템을 제안한다. 초소형 바이너리 발전 플랜트의 동작점 근방에서 동특성을 나타내는 이산시간 전달함수 모델을 도출하고, 제안된 제어시스템의 설계 전략을 기술한다. 제안된 Neuro PID 제어시스템을 종래의 PID 제어시스템과 비교하고, 시뮬레이션 결과를 통해 그 유효성을 보인다.

• 대한전기학회논문지:시스템및제어부문D
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• 제55권11호
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• pp.502-510
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• 2006

In this paper, we describe implementation of a computer access device for the severly motor-disability. Many people with severe motor disabilities need an augmentative communication technology. Those who are totally paralyzed, or 'locked-in' cannot use conventional augmentative technologies, all of which require some measure of muscle control. The forehead is often the last site to suffer degradation in cases of severe disability and degenerative disease. For example, In ALS(Amyotrophic Lateral Sclerosis) and MD(Muscular dystrophy) the ocular motorneurons and ocular muscles are usually spared permitting at least gross eye movements, but not precise eye pointing. We use brain and body forehead bio-potentials in a novel way to generate multiple signals for computer control inputs. A bio-amplifier within this device separates the forehead signal into three frequency channels. The lowest channel is responsive to bio-potentials resulting from an eye motion, and second channel is the band pass derived between 0.5 and 45Hz, falling within the accepted Electroencephalographic(EEG) range. A digital processing station subdivides this region into eleven components frequency bands using FFT algorithm. The third channel is defined as an Electromyographic(EMG) signal. It responds to contractions of facial muscles and is well suited to discrete on/off switch closures, keyboard commands. These signals are transmitted to a PC that analyzes in a time series and a frequency region and discriminates user's intentions. That software graphically displays user's bio-potential signals in the real time, therefore user can see their own bio-potentials and control their physiological signals little by little after some training sessions. As a result, we confirmed the performance and availability of the developed system with experimental user's bio-potentials.

• 제어로봇시스템학회논문지
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• 제3권4호
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• pp.381-388
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• 1997

This paper proposes a heuristic algorithm to efficiently perform line balancing in the PCB assembly line including multiple surface mounters efficiently. Generally, the problems in line balancing are classified into two kinds. Firstly, is the determining of the minimum number of machines required for achieving the desired production rate. Secondly, is the assign of jobs to multiple machines in order to minimize the cycle time which is defined as a maximum among the working times of machines when the number of machines is fixed. In this paper, we deal with the latter. We consider a PCB assembly line, including the multiple surface mounters arranged serially as a target system. Also, the conveyor is assumed to move at a constant speed and have no buffer. Considering that the minimum number of machines required for the desired production rate is a discrete nonincreasing function which is inversely proportional to the cycle time, we propose an optimization algorithm for line balancing by using the binary search method. The algorithm is validated through computer simulation, the results of which show that their shapes coincide nearly with those of optimal line balancing efficiency graphs regardless of the number of components, the performance of surface mounters, and the structure of assembly line.