• 제목/요약/키워드: Industrial control network

검색결과 745건 처리시간 0.027초

실시간 폐루프 제어 시스템을 위한 Profibus-FMS 네트워크의 구현 (Implementation of Profibus-FMS Network for Real-Time Closed-Loop Control System)

  • 이경창;김기웅;김희현;이석
    • 제어로봇시스템학회논문지
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    • 제6권10호
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    • pp.911-917
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    • 2000
  • As many sensors and actuators are used in various automated systems, the application of network to real-time distributed control system is gaining acceptance in many industries. In order to take advantages of networking, however, the network should be carefully designed to satisfy real-time distributed control. This paper presents an implementation method of closed-loop control using Profibus-FMS. In order to implement a closed-loop control system, we used industrial computers with Profibus-FMS network cards and a DC servo motor. Through various experiments, the step response of the control system with network was compared with the reference response without network.

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개방대기 네트웍에서의 최적 Threshold 제어 (An Optimal Threshold Control in an Open Network of Queues)

  • 김성철
    • 대한산업공학회지
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    • 제17권2호
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    • pp.107-113
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    • 1991
  • This article develops a control model for an open queueing network in terms of both the input and the output processes with stochastic intensities. The input and the output intensities are subject to some capacity limits and optimum control is characterized by a threshold type with a finite upper barrier. A discounted profit is used as a decision criteria, which is revenue minus operating and holding cost.

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Rate-Based Traffic Control of Industrial Networks Employing LonWorks

  • Cho, Kwang-Hyun;Kim, Byoung-Hee;Park, Kyoung-Sup
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -1
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    • pp.77-79
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    • 2000
  • Industrial communication networks have attracted much attention in the area of decentralized control systems for factory automation and computer integrated manufacturing. In this paper, we investigate the rate-based traffic control of industrial communication networks employing LonWorks to improve the performance measures of throughput, fairness, and error rates. To this end, we utilize the Feedback channel information through the additional network monitoring node and make the overall system closed-loop. We demonstrate the improved performance of the controlled network system by the experimentation upon an implemented lab-scale network system.

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적응형 구조를 갖는 이동통신망에서 호 저하 시간 비율 추정 (Estimation of Degradation Period Ratio for Adaptive Framework in Mobile Cellular Networks)

  • 정성환;이세진;홍정완;이창훈
    • 대한산업공학회지
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    • 제29권4호
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    • pp.312-320
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    • 2003
  • Recently there is a growing interest in mobile cellular network providing multimedia service. However, the link bandwidth of mobile cellular network is not sufficient enough to provide satisfactory services to users. To overcome this problem, an adaptive framework has been proposed. In this study, we propose a new method of estimating DPR(Degradation Period Ratio) in an adaptive multimedia network where the bandwidth of ongoing call can be dynamically adjusted during its lifetime. DPR is a QoS(Quality of Service) parameter which represents the ratio of allocated bandwidth below a pre-defined target to the whole service time of a call. We improve estimation method of DPR using DTMC(Discrete Time Markov Chain) model by calculate mean degradation period, degradation probability more precisely than in existing studies. Under Threshold CAC(Call Admission Control) algorithm, we present analytically how to guarantee QoS to users and illustrate the method by numerical examples. The proposed method is expected to be used as one of CAC schemes in guaranteeing predefined QoS level of DPR.

네트워크 연결성 유지를 위한 군집 로봇의 행동 제어 알고리즘 (Behavior Control Algorithm of Swarm Robots to Maintain Network Connectivity)

  • 김종선;정준영;지상훈;주영훈
    • 제어로봇시스템학회논문지
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    • 제19권12호
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    • pp.1132-1137
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    • 2013
  • In swarm robot systems, it is vital to maintain network connectivity to ensure cooperative behavior between robots. This paper deals with the behavior control algorithm of the swarm robots for maintaining network connectivity. To do this, we divide swarm robots into search-robots, base-robots, and relay-robots. Using these robots, we propose behavior control algorithm to maintain network connectivity. The behavior control algorithms to maintain network connectivity are proposed for the local path planning using virtual force and global path planning using the Delaunay triangulation, respectively. Finally, we demonstrate the effectiveness and applicability of the proposed method through some simulations.

레이저 장비의 전송 경로 자가 교정을 위한 무선 네트워크 시스템 (Wireless Networked System for Transmission Path Self-Calibration of Laser Equipment)

  • 이준영;유성은
    • 대한임베디드공학회논문지
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    • 제15권2호
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    • pp.79-85
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    • 2020
  • IIoT stands for Industrial Internet of Things used in manufacturing, healthcare, and transportation in networked smart factories. Recently, IIoT's environment requires an automated control system through intelligent cognition to improve efficiency. In particular, IIoT can be applied to automatic calibration of production equipment for improved management in industrial environments. Such automation systems require a wireless network for transmitting industrial data. Self-calibration systems in laser transmission paths using wireless networks can save resources and improve production quality by real-time monitoring and remote control of laser transmission path. In this paper, we propose a wireless networked system for self-calibration of laser equipment that requires a laser transmission path, and we show the results of the prototype evaluation. The self-calibration system of laser equipment measures the coordinates of the laser points with sensors and sends them to the host using the proposed application protocol. We propose a wireless network service for the wired motor controller to align the laser coordinates. Using this wireless network, the host controls the motor by sending a control command of the motor controller in an HTTP message based on the received coordinate values. Finally, we build a prototype system of the proposed design to verify the detection performance and analyze the network performance.

Steam Networking Matrices(SNMs)를 이용한 산업 단지의 스팀 네트워크 최적화 방법론 개발 (Development of An Industrial Complex Steam Network Optimization Method Using Steam Networking Matrices(SNMs))

  • 김상훈;채송화;윤성근;박선원
    • 제어로봇시스템학회논문지
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    • 제12권12호
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    • pp.1184-1190
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    • 2006
  • Most chemical companies try to maximize their energy efficiencies due to high oil price and reinforcement of environmental regulation. An individual factory continuously has tried to reduce energy consumption or carbon dioxide discharge for high profit. Nevertheless, it is found that waste heat is disposed with forms of low or medium pressure steams. It can be improved by the aspect of entire industrial complex. Therefore, we have developed a steam network optimization method using Steam Networking Matrices(SNMs) in this research. Results from an illustrative example show that energy consumption can be reduced by optimizing steam exchange networks.

복합 퍼지모델을 이용한 디맨드 예측 제어에 관한 연구 (A Study on the Demand Forecasting Control using A Composite Fuzzy Model)

  • 김창일;성기철;유인근
    • 대한전기학회논문지:전력기술부문A
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    • 제51권9호
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    • pp.417-424
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    • 2002
  • This paper presents an industrial peak load management system for the peak demand control. Kohonen neural network and wavelet transform based techniques are adopted for industrial peak load forecasting that will be used as input data of the peak demand control. Firstly, one year of historical load data of a steel company were sorted and clustered into several groups using Kohonen neural network and then wavelet transforms are applied with Biorthogonal 1.3 mother wavelet in order to forecast the peak load of one minute ahead. In addition, for the peak demand control, composite fuzzy model is proposed and implemented in this work. The results are compared with those of conventional model, fuzzy model and composite model, respectively. The outcome of the study clearly indicates that the composite fuzzy model approach can be used as an attractive and effective means of the peak demand control.

산업용 네트워크 장비와 보안 장비의 특징 분석 (Characteristic Analysis of Industrial Network and Security Equipment)

  • 신동진;황승연;오재곤;김정준;이용수;박경원
    • 한국인터넷방송통신학회논문지
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    • 제20권3호
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    • pp.153-161
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    • 2020
  • 최근 4차 산업혁명의 발전으로 인해 AI, IoT, Cloud, Big Data 등 다양한 기술을 유기적으로 연결한 스마트공장이 증가하고 있다. 이를 바탕으로 내부 공정이 자동 제어되는 산업환경에서 PLC와 같은 기기 제어에 필요한 결정성과 악의적인 공격에 의해 스마트공장의 내부 공정이 멈추게 되었을 때 발생하는 손실에 대한 고가용성이 확보되어야 한다. 다양한 산업 분야에서 사용되는 산업용 네트워크 장비와 보안 장비에 대한 조사 및 분석은 국가 기반시설에서 산업용 제어시스템의 효율성과 활용성을 높여줄 수 있고, 나아가 관련 인프라 구축에 중요한 피드백을 제공할 수 있다. 따라서 본 논문에서는 산업용 네트워크 장비와 보안 장비를 다양한 측면에서 비교 분석하였으며, 본 논문의 결과를 기반으로 산업용 네트워크 장비와 산업용 보안 장비의 관련 기술 개발 로드맵으로 활용될 수 있을 것이라 예상된다.

Development of the Serial Data Transmission System for Pneumatic Valve System Control

  • Kim, Dong-Soo;Choi, Byung-Oh;Seo, Hyun-Seok
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1152-1156
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    • 2003
  • For pneumatic valve system control, we need a serial data transmission system with high speed and reliability for information interchange between main computer and I/O devices. This paper presents a set of design techniques for a data communication system that is mainly used for pneumatic valve system control. For this purpose, we first designed hardware modules for an interface between central control module and local node that handles the operation of solenoid control valves. in addition, we developed a communication protocol for construction of rs-485 based multi-drop network and this protocol is basically designed with a kind of polling technique. Finally we evaluated performance of the developed system. the field test results show that, even under high noise environment, the data transmission of 375kbps rate is possible up to 1,500meter without using repeater. In addition, the system developed in this research is easily to be extended for a communication network because of its modular structure.

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