• Title/Summary/Keyword: 제어회로

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Development of Control System for Disinfection Unit of Moving Welfare Device (이동식 복지용구 소독장치를 위한 제어시스템 개발)

  • Seong, Chung-Ill;Cho, Seong-Beom;Hwang, Gi-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.304-306
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    • 2012
  • In this Paper, we develop control system for disinfection of welfare Equipment. In this paper, the developed system including disinfection control circuit using Hydrogen peroxide steam, chamber control circuit for disinfection using low vacuum and washing system control circuit using micro bubble.

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위성용 전력 변환장치를 위한 내부전원회로 해석

  • Jang, Jin-Baek;Yang, Jeong-Hwan;Lee, Sang-Jeong
    • The Bulletin of The Korean Astronomical Society
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    • v.37 no.2
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    • pp.197.2-197.2
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    • 2012
  • 인공위성용 전력변환장치는 전력회로와 제어회로로 구분할 수 있다. 전력회로는 고전압, 대전류를 직접 처리하며, 제어회로는 전력회로가 의도한 형태로 전압과 전류를 변환할 수 있도록 전력회로를 제어하는 역할을 한다. 제어회로에 이상 동작할 경우, 제어회로에 의해 동작하는 전력회로도 이상 동작하게 된다. 전력회로가 이상 동작하게 되면 위성 전력계로 문제가 확산되어 인공위성 임무 실패를 초래할 수 있다. 따라서 인공위성용 전력변환장치의 제어회로가 안정적으로 동작할 수 있도록, 제어회로에 전원을 공급하는 내부전원회로는 강인한 동작이 요구된다. 본 논문에서는 인공위성용 제어회로의 내부전원회로에 대해 대신호 해석을 수행하여 내부전원회로가 안정적으로 정전압을 출력할 수 있도록 내부전원회로의 설계안을 제시한다. 또한 내부전원회로에 대해 소신호 해석을 수행하여 정전압을 출력하는 동안 외란에 대한 출력전압의 제어 안정도를 해석한다.

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Development of Weapon Control Unit using a Design Technique for Sequence Control Circuits (순차 제어회로 설계기법을 이용한 무장제어장치 개발)

  • Park, Deok-Bae;Kim, Hyung-Shin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.3
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    • pp.632-637
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    • 2008
  • On board Weapon Control Unit for a military aircraft, as a core equipment of the Weapon Management System, generates signals for selective jettison, emergency jettison and rocket fire and controls the external stores according to a pilot's weapon selection, aircraft's flight status and external store's installation status. This paper describes about detail design process and performance evaluation for Weapon Control Unit developed by a sequence control circuit design methodology.

적응 퍼지제어

  • 공성곤;김민수
    • ICROS
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    • v.1 no.3
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    • pp.101-108
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    • 1995
  • 이 글에서는 퍼지제어기의 기본 구성에 대해 간단히 다루고 모델에 근거해 다음 제어상태를 예견해 내는 제어기법인 모델참조 적응을 기반으로 한 적응 퍼지제어에 대해서, 그리고 신경회로망을 이용한 퍼지제어기의 파라미터의 조정과 클러스터링을 통해서 퍼지규칙을 예측하는 적응 퍼지제어기에 대해서 살펴보았다.

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A CMOS Interface Circuit with MPPT Control for Vibrational Energy Harvesting (진동에너지 수확을 위한 MPPT 제어 기능을 갖는 CMOS 인터페이스 회로)

  • Yang, Min-jae;Yoon, Eun-jung;Yu, Chong-gun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.412-415
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    • 2015
  • This paper presents a MPPT(Maximum Power Point Tracking) control CMOS interface circuit for vibration energy harvesting. The proposed circuit consists of an AC-DC converter, MPPT Controller, DC-DC boost converter and PMU(Power Management Unit). The AC-DC converter rectifies the AC signals from vibration devices(PZT). MPPT controller is employed to harvest the maximum power from the PZT and increase efficiency of overall system. The DC-DC boost converter generates a boosted and regulated output at a predefined level and provides energy to load using PMU. A full-wave rectifier using active diodes is used as the AC-DC converter for high efficiency, and a schottky diode type DC-DC boost converter is used for a simple control circuitry. The proposed circuit has been designed in a 0.35um CMOS process. The chip area is $950um{\times}920um$.

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Adaptive Output Feedback Control of Unmanned Helicopter Using Neural Networks (신경회로망을 이용한 무인헬리콥터의 적응출력피드백제어)

  • Park, Bum-Jin;Hong, Chang-Ho;Suk, Jin-Young
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.11
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    • pp.990-998
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    • 2007
  • Adaptive output feedback control technique using Neural Networks(NN) is proposed for uncertain nonlinear Multi-Input Multi-Output(MIMO) systems. Modified Dynamic Inversion Model(MDIM) is introduced to decouple uncertain nonlinearities from inversion-based control input. MDIM consists of approximated dynamic inversion model and inversion model error. One NN is applied to compensate the MDIM of the system. The output of the NN augments the tracking controller which is based upon a filtered error approximation with online weight adaptation laws which are derived from Lyapunov's direct method to guarantee tracking performance and ultimate boundedness. Several numerical results are illustrated in the simulation of Van der Pol system and unmanned helicopter with model uncertainties.

Design of a Self-tuning Controller with a PID Structure Using Neural Network (신경회로망을 이용한 PID구조를 갖는 자기동조제어기의 설계)

  • Cho, Won-Chul;Jeong, In-Gab;Shim, Tae-Eun
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.6
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    • pp.1-8
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    • 2002
  • This paper presents a generalized minimum-variance self-tuning controller with a PID structure using neural network which adapts to the changing parameters of the nonlinear system with nonminimum phase behavior and time delays. The neural network is used to estimate the controller parameters, and the control output is obtained through estimated controller parameter. In order to demonstrate the effectiveness of the proposed algorithm, the computer simulation is done to adapt the nonlinear nonminimum phase system with time delays and changed system parameter after a constant time. The proposed method compared with direct adaptive controller using neural network.

Study on Adaptive Higher Harmonic Control Using Neural Networks (신경회로망을 이용한 적응 고차조화제어 기법 연구)

  • Park, Bum-Jin;Park, Hyun-Jun;Hong, Chang-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.33 no.3
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    • pp.39-46
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    • 2005
  • In this paper, adaptive higher harmonic control technique using Neural Networks (NN) is proposed. First, linear transfer function is estimated to relate the input harmonics and output harmonics, then NN which has the universal function approximation property is applied to expand application range of the transfer function. Optimal control gain matrix computed from the transfer function is used to train NN weights. Online weight adaptation laws are derived from Lyapunov's direct method to guarantee internal stability. Results of the simulation of 6-input 2-output nonlinear system show that adaptive HHC is applicable to the system with uncertain transfer function.

Adaptive Nonlinear Control of Helicopter Using Neural Networks (신경회로망을 이용한 헬리콥터 적응 비선형 제어)

  • Park, Bum-Jin;Hong, Chang-Ho;Suk, Jin-Young
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.32 no.4
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    • pp.24-33
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    • 2004
  • In this paper, the helicopter flight control system using online adaptive neural networks which have the universal function approximation property is considered. It is not compensation for modeling errors but approximation two functions required for feedback linearization control action from input/output of the system. To guarantee the tracking performance and the stability of the closed loop system replaced two nonlinear functions by two neural networks, weight update laws are provided by Lyapunov function and the simulation results in low speed flight mode verified the performance of the control system with the neural networks.

Daylight color temperature to match 60W LED lighting system development for the interior general Lighting (주광의 색온도와 일치하는 실내 전반 조명용 60W LED 조명제품 개발)

  • Kim, Jin-Hong;Lim, Su-Keun;Park, Joung-Wook;Kim, Gi-Hoon;Song, Sang-Bin
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2009.10a
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    • pp.197-200
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    • 2009
  • 주광의 색온도와 일치하는 실내 전반 조명용 60W급 LED 조명제품 개발하기 위하여 실내 주광에 적합한 LED를 선정하고, 색온도, 광색제어를 위한 구동회로 및 제어회로를 설계 제작 하였다. 그리고 1W급 Cool White, Warm White Package LED 총 168 EA를 적용하여 주광의 색온도와 일치하는 실내전반 조명용 LED 조명 System 을 개발하였다. 주광의 색온도와 일치하는 실내 전반용 LED 조명제품은 60W급 LED SMPS 구동회로 및 광색/색온도 제어회로 설계, 면발광을 위한 방열 설계 및 기구 구조 설계를 통하여 개발되었으며, 직접 시제품을 제작하고 그 성능을 측정하였다. 그 결과 회로 효율은 85% 이상, 색온도는 $3,000{\sim}7,000K$에서 실시간으로 제어 가능 하고, 원하는 색온도을 구현 할 수 있도록 하였으며, 발산각 또한 최대 광도의 1/2 기준으로 $100^{\circ}$ 이상을 만족시켰다.

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