• Title/Summary/Keyword: automatic algorithm

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Development of Automatic Tracking Control Algorithm for Efficiency Improvement of PV Generation (태양광 발전의 효율 향상을 위한 자동추적 제어 알고리즘 개발)

  • Choi, Jung-Sik;Ko, Jae-Sub;Chung, Dong-Hwa
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.10
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    • pp.1823-1831
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    • 2010
  • This paper proposes an automatic tracking control algorithm for efficiency improvement of photovoltaic generation. Increasing the power of PV systems should improve the efficiency of solar cells or the power condition system. The normal alignment of the PV module always have to run perpendicular to the sun's rays. The solar tracking system, able to improve the efficiency of the PV system, was initiated by applying that to the PV power plant. The tracking system of conventional PV power plant has been studied with regard to the tracking accuracy of the solar cells. Power generation efficiency were increased by aligning the cells for maximum exposure to the sun's rays. Using a perpendicular position facilitated optimum condition. However, there is a problem about the reliability of tracking systems unable to not track the sun correctly during environmental variations. Therefore, a novel control algorithm needs to improve the generation efficiency of the PV systems and reduce the loss of generation. This control algorithm is the proposed automatic tracking algorithm in this paper. Automatic tracking control is combined the sensor and program method for robust control in environment changing condition. This tracking system includes the insolation, rain sensor and anemometer for climate environment changing. Proposed algorithm in this paper, is compared to performance of conventional tracking control algorithm in variative insolation condition. And prove the validity of proposed algorithm through the experimental data.

Detected Point Clustering Algorithm For Automatic Visual Inspection (자동외관검사를 위한 검출위치 클러스터링 알고리즘)

  • Ryu, Sun Joong
    • Journal of the Semiconductor & Display Technology
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    • v.13 no.3
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    • pp.1-6
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    • 2014
  • Visual defect inspection for electronics parts manufacturing processes is comprised of 2 steps - automatic visual inspection by machine and inspection by human inspectors. It is necessary that spatial points which were detected by the machine should be adequately clustered for subsequent human inspection. This research deals with the spatial clustering algorithm for the purpose of process productivity improvement. Distribution based clustering is newly developed and experimentally confirmed to show better clustering efficiency than existing algorithm - area based clustering.

Time Delay Estimation Using Automatic Tracking Window (자동추적윈도우를 이용한 시간지연 추정)

  • 윤병우;신윤기;박의열
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.28A no.5
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    • pp.347-354
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    • 1991
  • In this paper, the Automatic Tracking Window(ATW) algorithm is applied to the Generalized Cross-Correlation(GCC) time delay estimation algorithm as a preprocessing. The Linear Prediction(LP) algorithm, which is a pararmetric spectral estimation algorithm, is applied to the time delay estimation. And the ATW, a preprocessing algorithm is applied to this algorithm too. This paper shows that the ATW algorithm attenuates the sidelobes very much and improves the resolution of the timedelay estimation.

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Automatic Thresholding Selection for Image Segmentation Based on Genetic Algorithm (유전자알고리즘을 이용한 영상분할 문턱값의 자동선정에 관한 연구)

  • Lee, Byung-Ryong;Truong, Quoc Bao;Pham, Van Huy;Kim, Hyoung-Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.6
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    • pp.587-595
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    • 2011
  • In this paper, we focus on the issue of automatic selection for multi-level threshold, and we greatly improve the efficiency of Otsu's method for image segmentation based on genetic algorithm. We have investigated and evaluated the performance of the Otsu and Valley-emphasis threshold methods. Based on this observation we propose a method for automatic threshold method that segments an image into more than two regions with high performance and processing in real-time. Our paper introduced new peak detection, combines with evolution algorithm using MAGA (Modified Adaptive Genetic Algorithm) and HCA (Hill Climbing Algorithm), to find the best threshold automatically, accurately, and quickly. The experimental results show that the proposed evolutionary algorithm achieves a satisfactory segmentation effect and that the processing time can be greatly reduced when the number of thresholds increases.

An Algorithm on Optimal Placement Decision of Automatic Switches for 6 Sections/3 Links Configuration in DAS

  • Lim, Il-Hyung;Zhang, Wen-Hao;Trirohadi, Hamsyah;Choi, Myeon-Song;Lee, Seung-Jae;Ha, Bok-Nam
    • Journal of Electrical Engineering and Technology
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    • v.6 no.3
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    • pp.328-333
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    • 2011
  • A Distribution Automation System (DAS) is operated by monitoring and control of the field statesusing Feeder Remote Terminal Units (FRTUs) installed together withautomatic switches.An optimal placement of automatic switchescan enhanceefficiencyof the operation and restoration, and improve the power supply reliability ofa DAS.This paper proposes an algorithm to decide the optimal placement of automatic switches ina DAS.The proposed algorithm was developed ona DAS witha six sections and three links configuration. The proposed algorithm was provided inaneight-feeder power distribution system.

A study on the automatic wafer alignment in semiconductor dicing (반도체 절단 공정의 웨이퍼 자동 정렬에 관한 연구)

  • 김형태;송창섭;양해정
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.12
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    • pp.105-114
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    • 2003
  • In this study, a dicing machine with vision system was built and an algorithm for automatic alignment was developed for dual camera system. The system had a macro and a micro inspection tool. The algorithm was formulated from geometric relations. When a wafer was put on the cutting stage within certain range, it was inspected by vision system and compared with a standard pattern. The difference between the patterns was analyzed and evaluated. Then, the stage was moved by x, y, $\theta$ axes to compensate these differences. The amount of compensation was calculated from the result of the vision inspection through the automatic alignment algorithm. The stage was moved to the compensated position and was inspected by vision for checking its result again. Accuracy and validity of the algorithm was discussed from these data.

Basic study about Automatic Rebar Quantity Estimation Integrated with Structural Design Information (구조설계정보 통합 관리에 의한 철근 물량 산출 자동화 기초 연구)

  • Sung, Soojin;Lim, Chaeyeon;Kim, Sunkuk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.05a
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    • pp.109-110
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    • 2015
  • Estimation of rebar quantity may be used as an index to evaluate the economic feasibility of structural designs. However, when using the software to estimate the rebar quantity, there may be some limitations such as data loss caused by human errors and estimation delays caused by increased input time, since the information on arrangement of rebar is inserted manually. To solve the problems of such quantity estimation software, it is necessary to develop a method on automatic input/output of structural design information for quantity estimation and an algorithm for accurate estimation of rebar quantity. The purpose of this study is to improve the existing rebar quantity estimation by connecting with the database on information related to rebar estimation and the algorithm for rebar estimation, in order to develop an algorithm to estimate an accurate, net rebar quantity. The study result can be used as basic data for development of software for efficient structural designs and automatic framework estimation of buildings.

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An Algorithm for Automatic Guided Vehicle Scheduling Problems (자동유도운반차 (Automatic Guided Vehicle) 스케쥴링 해법)

  • Park, Yang-Byeong;Jeon, Deok-Bin
    • Journal of Korean Institute of Industrial Engineers
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    • v.13 no.1
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    • pp.11-24
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    • 1987
  • Automatic Guided Vehicle Systems feature battery powered driverless vehicles with programming capabilities for path selection and positoning. Vehicles serve the machines in shop, following a guide path system installed on the shop floor. The basic problem in the system is to determine a fixed set of vehicle routes of minimal total distance(time) while keeping capacity and distance(time) constraints. In this paper, a heuristic algorithm is presented for scheduling the automatic guided vehicles. The algorithm routes the machines based on their distances and polor coordinate angles, taking into account the structural feature of the system. Computational experiments are performed on several test problems in order to evaluate the proposed algorithm. Finally, a framework for dealing with the case where supplies from the machines are probabilistic is described.

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A Development Auto Inspection System for Panel of Motor Body on the Variable Light Environment (가변 조명 환경에서 차체 패널 자동검사시스템 개발)

  • 이용중;신신범;윤진수;김형조;이양범
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.106-106
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    • 2000
  • This study is to embody automatic inspection system of motor body panel by visual system. since it is inefficient to examine the adhesion condition of components with the naked eye, picture processing algorithm is presented to replace the existing manual inspection process with an automatic inspection process. The developed automatic inspection system presents the examination method of the adhesion condition of components with a ixed camera, which leads to an increase of the productivity and a reduction of manufacturing cost.

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