• Title/Summary/Keyword: Trial and error method

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GA Based Control Parameter Selection Method for Optimal TCSC Control (GA를 이용한 TCSG 제어기의 파라메터 선정)

  • Kim, Hak-Man;Oh, Tae-Kyoo;Shin, Myong-Chul;Son, Kwang-Myoung
    • Proceedings of the KIEE Conference
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    • 1997.07c
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    • pp.841-843
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    • 1997
  • In this paper we present a Genetic approach to select weighting matrices of LQ(Linear Quadratic) controller for optimal TCSC(Thyristor Controlled Series Capacitor) control. A design of LQ controller depends on choosing weighting matrices. The selection of weighting matrices is usually carried out by trial and error, which is not a trivial problem. We proposed a efficient method using GA of finding weighting matrices for optimal control law. The proposed GA method was applied to design LQ controller of TCSC in one machine infinite bus system and showed good results.

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Nonlinear Scaling Factors tuning of Fuzzy Controller using Optimization Techniques (최적화기법을 이용한 퍼지 제어기의 비선형 이득요소 동조)

  • Ryoo, Dong-Wan;Kwon, Jae-Cheol;Seo, Bo-Hyeok
    • Proceedings of the KIEE Conference
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    • 1997.07b
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    • pp.705-707
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    • 1997
  • An optimal tuning algorithm of scaling factors is presented in this paper to automatically improve the performance of fuzzy controller. Especially, fuzzy controller has determined an moderate Scaling factor through trial and error. The presented method estimates automatically the optimal values of I/O scaling factors, using modified steepest descent method and this optimal tuning is for nonlinear input/output scaling factors. Simulation results verify the validity of the presented method.

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Topic directed Web Spidering using Reinforcement Learning (강화학습을 이용한 주제별 웹 탐색)

  • Lim, Soo-Yeon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.4
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    • pp.395-399
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    • 2005
  • In this paper, we presents HIGH-Q learning algorithm with reinforcement learning for more fast and exact topic-directed web spidering. The purpose of reinforcement learning is to maximize rewards from environment, an reinforcement learning agents learn by interacting with external environment through trial and error. We performed experiments that compared the proposed method using reinforcement learning with breath first search method for searching the web pages. In result, reinforcement learning method using future discounted rewards searched a small number of pages to find result pages.

Patterson Method (heavy-atom method)

  • 서일환
    • Korean Journal of Crystallography
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    • v.12 no.1
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    • pp.31-36
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    • 2001
  • 결정학의 핵심 과제는 위상(phase) 문제의 해결이다. 이 위상 묹를 해결하는 한 방법으로 요즘의 고속 컴퓨터를 사용하는 시행착오법(trial and error method)을 가상해 볼 수 있다. 간단한 예를 들면, centrosymmetric인 삼사정계(triclinic system)에 속한 비교적 작은 유기화합물인 경우, 전형적으로 3000개 정도의 회절 강도가 측정된다. Centrosymmetric 공간군(space group)의 구조 인자(structure factor)는 위상이 0°이거나 180°이기 때문에, 구조 인자는 "+"이거나 "-"부호를 가지므로 3000개 각각에 두 가지 부호를 배당할 수 있다. 이 3000개의 부호를 조합할 수 있는 개수는 2/sup 3000/개로 이 개수만큼의 Fourier 지도들을 작도하면 그 중의 하나는 옳은 것이다. Fourier 지도 한 개를 작도하는데 1분이 소요된다고 가정하면, 이들을 모두 계산하는데 2/sup 2981/년의 계산 시간이 소요된다. (참고로 2/sup 10/=1084). 따라서 시행착오법으로는 도저히 불가능함을 알 수 있다. 더구나, noncentrosymmetricc 공간군에서는 더욱 어렵게 된다. 그리하여 위상 문제를 해결하려는 많은 시도가 행해졌는데, 그것들 중의 하나가 Patterson 방법이다.

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A Graphical Design Method for an Optimum Low-Noise Amplifier (최적의 성능을 위한 저잡음 증폭기의 도식적 설계기법)

  • Han, Sok-Kyun;Choi, Byung-Ha
    • Journal of Advanced Navigation Technology
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    • v.6 no.4
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    • pp.312-317
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    • 2002
  • This paper presents a graphical design method for a low noise amplifier using the match circles plotted in the ${\Gamma}_{IN}$ plane on the smith chart. Each circle would be useful for reducing some trial and error efforts resulting from making a trade-off for an optimized performance of a single stage amplifier. A design example is presented to illustrate the design procedure.

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A Study on the Design Safety of Type III High-Pressure Hydrogen Storage Vessel (Type III 고압수소저장용기의 설계 안전성 연구)

  • Park, Woo Rim;Jeon, Sang Koo;Kim, Song Mi;Kwon, Oh Heon
    • Journal of the Korean Society of Safety
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    • v.34 no.5
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    • pp.7-14
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    • 2019
  • The type III vessel, which is used to store high-pressure hydrogen gas, is made by wrapping the vessel's liner with carbon fiber composite materials for strength performance and lightening. The liner seals the internal gas and the composite resists the internal pressure. The properties of the fiber composite material depends on the angle and thickness of the fiber. Thus, engineers should consider these various design variables. However, it significantly increases the design cost due to the trial and error under designing based on experience or experiments. And, for aluminum liners, fatigue loads due to using and charging could give a huge impact on the performance of the structure. However, fatigue failure does not necessarily occur in the position under the highest load in use. Therefore, for hydrogen storage vessel, fatigue evaluation according to design patterns is essential because stress distribution varies depend on composite layer patterns. This study performed an optimization analysis and evaluated a high-pressure hydrogen storage vessel to minimize these trial and error and improve the reliability of the structure, while simultaneously conducting fatigue assessment of all patterns derived from the optimization analysis process. The results of this study are thought to be useful in the strength improvement and life design of composite reinforced high-pressure storage vessels.

Prediction model for electric power consumption of seawater desalination based on machine learning by seawater quality change in future (장래 해수수질 변화에 따른 머신러닝 기반 해수담수 전력비 예측 모형 개발)

  • Shim, Kyudae;Ko, Young-Hee
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1023-1035
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    • 2021
  • The electricity cost of a desalination facility was also predicted and reviewed, which allowed the proposed model to be incorporated into the future design of such facilities. Input data from 2003 to 2014 of the Korea Hydrographic and Oceanographic Agency (KHOA) were used, and the structure of the model was determined using the trial and error method to analyze as well as hyperparameters such as salinity and seawater temperature. The future seawater quality was estimated by optimizing the prediction model based on machine learning. Results indicated that the seawater temperature would be similar to the existing pattern, and salinity showed a gradual decrease in the maximum value from the past measurement data. Therefore, it was reviewed that the electricity cost for seawater desalination decreased by approximately 0.80% and a process configuration was determined to be necessary. This study aimed at establishing a machine-learning-based prediction model to predict future water quality changes, reviewed the impact on the scale of seawater desalination facilities, and suggested alternatives.

A Numerical Study on the Optimization of Urea Solution Injection to Maximize Conversion Efficiency of NH3 (NH3 전환효율 극대화를 위한 Urea 인젝터의 분사 최적화에 관한 수치적 연구)

  • Moon, Seongjoon;Jo, Nakwon;Oh, Sedoo;Jeong, Soojin;Park, Kyoungwoo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.3
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    • pp.171-178
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    • 2014
  • From now on, in order to meet more stringer diesel emission standard, diesel vehicle should be equipped with emission after-treatment devices as NOx reduction catalyst and particulate filters. Urea-SCR is being developed as the most efficient method of reducing NOx emissions in the after-treatment devices of diesel engines, and recent studies have begun to mount the urea-SCR device for diesel passenger cars and light duty vehicles. That is because their operational characteristics are quite different from heavy duty vehicles, urea solution injection should be changed with other conditions. Therefore, the number and diameter of the nozzle, injection directions, mounting positions in front of the catalytic converter are important design factors. In this study, major design parameters concerning urea solution injection in front of SCR are optimized by using a CFD analysis and Taguchi method. The computational prediction of internal flow and spray characteristics in front of SCR was carried out by using STAR-CCM+7.06 code that used to evaluate $NH_3$ uniformity index($NH_3$ UI). The design parameters are optimized by using the $L_{16}$ orthogonal array and small-the-better characteristics of the Taguchi method. As a result, the optimal values are confirmed to be valid in 95% confidence and 5% significance level through analysis of variance(ANOVA). The compared maximize $NH_3$ UI and activation time($NH_3$ UI 0.82) are numerically confirmed that the optimal model provides better conversion efficiency of $NH_3$. In addition, we propose a method to minimize wall-wetting around the urea injector in order to prevent injector blocks caused by solid urea loading. Consequently, the thickness reduction of fluid film in front of mixer is numerically confirmed through the mounting mixer and correcting injection direction by using the trial and error method.

Displacement Error Estimation of a High-Precision Large-Surface Micro-Grooving Machine Based on Experimental Design Method and Finite Element Analysis (실험계획법과 유한 요소해석을 이용한 초정밀 대면적 미세 그루빙 머신의 변위 오차 예측)

  • Lee, Hee-Bum;Lee, Won-Jae;Kim, Seok-Il
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.20 no.6
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    • pp.703-713
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    • 2011
  • In this study, to minimize trial and error in the design and manufacturing processes of a high-precision large-surface micro-grooving machine which is able to fabricate the molds for 42 inch LCD light guide panels, the effects of the structural deformation of the micro-grooving machine according to the positions of the X-axis, Y-axis and Z-axis feed systems were examined on the tool tip displacement errors associated with the machining accuracy. The virtual prototype (finite element model) of the micro-grooving machine was constructed to include the joint stiffnesses of the hydrostatic bearings, hydrostatic guideways and linear motors, and then the tool tip displacement errors were measured from the virtual prototype. Especially, to establish the prediction model of the tool tip displacement errors, which was constructed using the positions of the X-axis, Y-axis and Z-axis feed systems as independent variables, the response surface method based on the central composite design was introduced. The reliability of the prediction model was verified by the fact that the tool tip displacement errors obtained from the prediction model coincided well those measured from the virtual prototype. And the causes of the tool tip displacement errors were identified through the analysis of interactions between the positions of the X-axis, Y-axis and Z-axis feed systems.

Estimation of Optical Properties under High Temperature Conditions (고온 광학특성 평가 기법)

  • Jin, Doo-Han;Jeong, Kyung-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.1
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    • pp.592-598
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    • 2017
  • A method for estimating the optical characteristics of ceramic materials under high temperature conditions has been applied and evaluated. For that purpose, an interface system combined with a photo-spectrometer was made to keep the samples at the required high temperature. The transmittance of the samples was measured at various temperatures. The measured transmittance data was used to estimate the refractive index using an optical simulation model in conjunction with the Sellmeier equation. The Sellmeier equation parameters were selected by trial-and-error when the transmittance recalculated using the estimated refractive index was compared with the measured transmittance. Furthermore, the estimated refractive indices were checked by a comparison with the reference data at some typical wavelengths at room temperature.