• Title/Summary/Keyword: Korean Input

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Corrective Control of Asynchronous Sequential Machines with Input Disturbance II : Controller Design (입력 외란이 존재하는 비동기 순차 머신의 교정 제어 II : 제어기 설계)

  • Yang, Jung-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.9
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    • pp.1665-1675
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    • 2007
  • This paper presents the problem of controlling asynchronous sequential machines in the presence of input disturbances, which may be also regarded as an adversary in a game theoretic setting. The main objective is to provide necessary and sufficient condition for the existence of a corrective controller that solves model matching problem of an asynchronous machine suffering from input disturbance. The existence condition can be stated in terms of a simple comparison of two skeleton matrices. The proposed controller eliminates the adversarial effect of input disturbance and makes the controlled machine mimic the behavior of a model in stable-state way. Whenever controller exists, algorithms for their design are outlined and demonstrated in a case study.

A Six Sigma Project for Reducing the Color Variation of the Monitor Materials (모니터 소재의 색상편차 개선을 위한 6시그마 프로젝트)

  • 홍성훈;반재석
    • Journal of Korean Society for Quality Management
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    • v.29 no.3
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    • pp.166-176
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    • 2001
  • This paper considers a six sigma project for reducing the color variation of the monitor materials in a chemical plant. The project follows a disciplined process of five macro phases: define, measure, analyze, improve, and control (DMAIC). A process map is used to identify process input variables. Three key process input variables are selected by using an input variable evaluation table; a melting pressure, a coloring agent, and a DP color variation. DOE is utilized for finding the optimal process conditions of the three key process input variables. The sigma level of defects rate becomes a 4.58 from a 2.0 at the beginning of the project.

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Reducing the Rate of Defective to Improve a Welding Condition -Based on Six Sigma Process- (용접조건 개선으로 불량률 감소 -6시그마 프로세스를 중심으로-)

  • 박진영
    • Journal of Korean Society for Quality Management
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    • v.31 no.1
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    • pp.123-131
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    • 2003
  • This paper considers a six sigma project for reducing the defects rate of the welding process in manufacturing firms. The project follows a disciplined process of five macro phases. define, measure, analyze, improve and control(DMAIC). The need of customers is used to identify critical to quality(CTQ) of project. And a process map is used to identify process input factors of CTQ. Four key process input factors are selected by using an input factor evaluation of teams; an interval of welding, an abrasion, an electric current and a moving freely. DOE is utilized for finding the optimal process conditions of the three key process input factors. Another one key input factor improved to welding machine. The six sigma level of defects rate becomes a 2.01 from a 1.61 at the beginning of the project.

Global Convergence of Neural Networks for Optimization (최적화문제를 위한 신경회로망의 Global Convergence)

  • 강민제
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.4
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    • pp.325-330
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    • 2001
  • It has been realized that the results of circuit level simulation of neural networks, used for optimization problems, arc much different from those of algorism level simulation. In other words, the outputs converges asymptotically as time elapes, however, the input convergence depends on the value of parasitic conductance connected between input node and ground. Also, this conductance affects system performance. This paper discusses the influence of input conductance on the convergece of the continuous Hopfield neural networks. The convergence has been analyzed for the input and output nodes of neurons. Also, the characteristics of equilibrium points has been analyzed depending on different values of the input conductance.

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Neuro-Fuzzy Contro of Weld Pool Size in Arc Welding Robot System (1st Report : Fuzzy Control of Weld Pool Size) (아크용접 로보트시스템에서 용융지크기의 뉴로-퍼지 제어)

  • Jeon, Euy-Sik
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.6 no.4
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    • pp.89-95
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    • 1997
  • Welding technique is widely applied to general industry such as pressure vessel for chemical plant, pipe system, heavy industry, and automobile. There are some points which must be considered when robot system is used in welding automation process for productivity improvement. Welding quality is governed by heat input, and this quantity can be different according to shape, property, and thick of material . For desired heat input , weld input parameters such as welding voltage, current, and welding velocity must be determined with those consideration. Until now these parameters have been determined mainly by experience of operator. In this study, the size of welding zone was predicted by fuzzy rules were constructed from the relation between welding variables and weld pool size. Inverse model method which welding control input for welder is determined with optimum voltage and current by fuzzy controller is validatied by computer simulation.

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A Study on Comparison of Input-Shaping Filter for Optimum Design between Artificial Immune Algorithm and Genetic Algorithm (입력성형필터 최적 설계를 위한 인공 명역망과 유전 알고리즘 비교에 관한 연구)

  • Lee, Dong-Je;Choi, Young-Kiu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.8
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    • pp.1482-1488
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    • 2010
  • Recently to increase the productivity and improve the quality in the industrial process, suppressing the residual vibration in motion control systems becomes the essential problem to solve. One of the methods to suppress the residual vibration is the input shaping technique. It is based on parameters of the system model; however, the parameters are usually difficult to obtain. This paper shows the effects of the residual vibration caused by the variation of the general velocity profile for the system with two vibration modes, and also shows the effects of the input shaping filter based on the parameters of system model. Finally, the simulation results show that the proposed input shaping filter using an artificial immune algorithm is more effective for suppressing residual vibrations than genetic algorithm.

Power Factor Correction of Single-phase Boost Converter for Low-cost Type UPS Configuration (저 가격형 UPS를 구성하기 위한 단상 부스트 컨버터의 고 역률 제어)

  • Park, Jong-Chan;Shon, Jin-Geun
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.62 no.3
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    • pp.145-150
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    • 2013
  • A novel AC to DC PWM converters with unity input power factor are proposed to overcome the above shortcoming. The main function of these converters is to shape the input line current to force it exactly in phase with the input AC voltage. Therefore, the input power factor can be improved to near unity and the input current harmonics can be eliminated. In this paper, half-bridge converter with two active switches and two diodes are utilized for low-cost type UPS configuration. By having only two semiconductors in the current path at any time, losses can be reduced over the conventional boost topology. Also, this converter provides controllable dc-link voltage, high power factor, and low cost type converter by simple power circuits. Simulation results show that the proposed half-bridge converter/inverter control technique can be applied to single-phase low-cost type UPS systems successfully.

Expert Supervisory Control for Robustness of D.C. Servo Motor Control (직류 서보 전동기 제어의 강인성을 위한 전문가 관리 제어)

  • Oh, Hun;Park, Wal-Seo
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.9 no.6
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    • pp.78-82
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    • 1995
  • It is needed to robust control for D.C. servo motor according to industrial automation. However, when a motor has an effect of disturbance and variable load, it is very difficult to guarantee the robustness of the system. as a compensation way of solving this problem, in this paper, a expert supervisory control method for motor control system is presented. Expert supervisory controller is designed by error and error change, and nth control input is decided by the addition of (n-1)th control input and inference amount of increase or decrease. Control input of expert supervisory control is transmitted to input, and the disturbance effect decrease remarkable by control input. The robustness of D.C. servo motor using expert supervisory control is demonstrated by the computer simulation.

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Generation of Seismic Environment and Design Code Compatible Representative Earthquake Motion (지진환경과 설계기준과 호환하는 대표 입력 지진파의 생성)

  • Jeong, Chang-Gyun;Park, Du-Hee
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.03a
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    • pp.771-776
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    • 2010
  • Since the importance of seismic design is greater, dynamic analysis is more widely using than past. The input motion is one of the most important factors of dynamic analysis. However, in Korea input motions are selected from U.S. and Japan those are captured from large magnitude earthquakes without considering seismic environment or generated in frequency domain. In this research, the methodology for generating input motions those are considered seismic environment and design code is proposed. The seismic environment compatibility is considered by performing deaggregation and the design code compatibility is considered by time-domain artificial time history accelration generation method. The results shows that seismic environment and design code compatible input motions are successfully generated.

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Segmentation of Objects with Multi Layer Perceptron by Using Informations of Window

  • Kwak, Young-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.4
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    • pp.1033-1043
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    • 2007
  • The multi layer perceptron for segmenting objects in images only uses the input windows that are made from a image in a fixed size. These windows are recognized so each independent learning data that they make the performance of the multi layer perceptron poor. The poor performance is caused by not considering the position information and effect of input windows in input images. So we propose a new approach to add the position information and effect of input windows to the multi layer perceptron#s input layer. Our new approach improves the performance as well as the learning time in the multi layer perceptron. In our experiment, we can find our new algorithm good.

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