• Title/Summary/Keyword: network system

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A Study on Anti-Sway of Crane using Neural Network Predictive PID Controller (Anti-Sway에 관한 연구)

  • 손동섭;이진우;민정탁;이권순
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2002.03a
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    • pp.219-227
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    • 2002
  • In this paper, we designed neural network predictive PID controller to control sway happened in transfer of trolley for automatic travel control system. We include dynamic character of nonlinear system, and mathematical expression veny simple used neural network. When various establishment location and surrounding disturbance were approved based on mathematical modelling of crane, controller designed to become effective control location error and vibration angle of two control variables that simultaneously can predictive control. Neural network predictive PID controller produced parameter of PID controller using neural network self-tuner. Neural network self-tuner's input used crane's output and neural network predictive output. Neural network self-tuner using error back propagation algorithm. We analyzed control performance comparison through computer simulation when applied disturbance about sway of location and angle in transfer of crane. The results show that the proposed neural network predictive PID controller has better performances than general PID controller, neural network PID controller.

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Development of executive system in power plant simulator (발전 플랜트 설계용 시뮬레이터에서 Executive system의 개발)

  • 예재만;이동수;권상혁;노태정
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.488-491
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    • 1997
  • The PMGS(Plant Model Generating System) was developed based on modular modeling method and fluid network calculation concept. Fluid network calculation is used as a method of real-time computation of fluid network, and the module which has a topology with node and branch is defined to take advantages of modular modeling. Also, the database which have a shared memory as an instance is designed to manage simulation data in real-time. The applicability of the PMGS was examined implementing the HRSG(Heat Recovery Steam Generator) control logic on DCS.

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Evaluation of VSN(Virtual Switch Network) Characteristics in the Call Process of IMT-2000 Switching System (IMT-2000 교환시스템에서 호 처리에 의한 VSN(Virtual Switch Network)의 특성 평가)

  • 김대식;한치문류근호
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.265-268
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    • 1998
  • This paper evaluates the VSN(Virtual switch Network) characteristics in the internal call processing of IMT-2000 switching system, which is composed of VSN instead of ATM switch network. In results, internal call establishment delay is increased approximately 5.4msec than the conventional ATM switching system. The evaluated condition is the load 0.8, and the 100km distance between VSNs. It is confirmed that the VSN has the potentiality in the practical implementation.

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Network Based UPS Remote Control System Using SNMP (네트워크 환경에서의 무정전전원장치용 원격제어 시스템)

  • 최소영
    • Proceedings of the KIPE Conference
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    • 2000.07a
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    • pp.744-747
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    • 2000
  • This paper aims at developing remote control system to control and monitor distribute various devices through internet or information communication network. So far for managing UPS(Uninterruptible Power Supply) serial communication system has been used. This paper proposes managing method of UPS monitoring using SNMP. It consists of SNMP agent network board SNMP manager PC software serial communication software and UPS. The proposed method can be applied to various devices with communication network remotely.

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A study on the technological trend of the DWDM system and development plan for Optical Network (DWDM 시스템동향 및 광네트워크 발전방향)

  • 이성원
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.354-357
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    • 2001
  • Optical transport has been sucessfully developed as a fast information transfer since 1970s, and a WDM system, based on the wavelength division multiplexing technique, was implemented to the backbone network. The WDM technique is able to improve its data traffic by utilizing its optical fiber efficiently, and is suitable for an easy network operation and management. Therefore, trend for DWDM, which is known to be one of DWM system being currently used, and the direction for optical network development will be investigated in this study.

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Availability Analysis of Computer Network using Petri-Nets

  • Ro, Cheul Woo;Pak, Artem
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.699-705
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    • 2009
  • This paper reviews methods used to perform reliability and availability analysis of the network system composed by nodes and links. The combination of nodes and links forms virtual connections (VC). The failure of several VCs cause failure of whole network system. Petri Net models are used to analyze the reliability and availability. Stochastic reward nets (SRN) is an extension of stochastic Petri nets provides modelling facilities for network system analysis.

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Implementation of Network for AutomationUusing Fieldbus (필드버스를 이용한 자동화 네트워크의 구현)

  • 이석원;장석호;남부희
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1420-1423
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    • 1996
  • This paper presents the implementation of network for automation using fieldbus. The RS-485 and twisted pair are used in layer 1 and medium, respectively. We implement FDL(Fieldbus Datalink Layer) using C-language and use token-bus network. The network consists of polling system and token passing system. The amount of transmitted data frames is evaluated with various transmission speeds that affect the system stability.

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Modified elman neural network structure for nonlinear system identification (비선형 시스템 식별을 위한 수정된 elman 신경회로망 구조)

  • 정경권;권성훈;이인재;이정훈;엄기환
    • Proceedings of the IEEK Conference
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    • 1998.06a
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    • pp.917-920
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    • 1998
  • In this paper, we propose a modified elman neural network structure for nonlinear system identification. The proposed structure is that all of network output feed back into hidden units and output units. Learning algorithm is standard back-propagation algorithm. The simulation showed the effectiveness of using the modified elman neural network structure in the nonlinear system identification.

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Control of Nonlinear System using WAVENET (WAVENET을 이용한 비선형 시스템의 제어)

  • Park, Doo-Hwan;Kim, Kyung-Yup;Lee, Joon-Tark
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2005.06a
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    • pp.257-261
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    • 2005
  • The helicopter system is non-linear and complex. Futhermore, because of absence of accurate mathematical model, it is difficult accurately to control its attitude. therefore, we propose a WAVENET control technique to control efficiently its elevation angle and azimuth one. Wavelet neural network(WAVENET) can construct systematically initial neural network as applying wavelet theory to feedforward network. It is proved through computer simulation that WAVENET has more excellent approximation capability than existing neural network. The simulation results using MATLAB are introduced.

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The Real-Time Control of 3-Phase Induction Motor by DSP Application of Tuning Parameter Using Load Torque Observer and Neural Network (부하관측기와 신경망에 의해 설정된 파라미터의 DSP 적용에 의한 3상 유도전동기의 실시간 제어)

  • 권양원;윤양웅;강학수;안태천
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.135-135
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    • 2000
  • In this Paper. the DSP implementation of induction motor drive is Presented on the viewpoint of the design and experiment. The speed estimation of control system for induction motor drive is designed on the base of neural network speed estimator. This neural network speed estimator is experimentally applied to the induction motor system. This system Provides the satisfactory results.

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