• Title/Summary/Keyword: 매트랩 시뮬레이터

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Verification of DFIG Simulator for Wind Power Generation using Matrix Converter (매트릭스 컨버터를 이용한 풍력발전용 DFIG 시뮬레이터 검증)

  • Seo, Young-Ger;Ko, Jong-Sun;Choi, Nam-Sup;Han, Byung-Moon;Hong, Soon-Chan
    • Proceedings of the KIPE Conference
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    • 2008.06a
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    • pp.326-328
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    • 2008
  • 본 논문의 목표는 실제 시스템과 가장 유사한 이중여자 유도발전기(Doubly-Fed Induction Generator)의 시뮬레이터를 구현하고 실험을 통해서 그것을 검증하는 것이다. 바람의 속도를 2D 룩업 테이블을 이용하여 데이터화 한 후 터빈 모델의 입력으로 인가한다. 터빈 모델의 파라미터는 실험용 이중여자 유도발전기의 것과 동일하게 설정하여 실제 시스템과 유사하게 하였다. 지금까지는 이중여자 유도발전기를 모사하기 위하여 매트랩(Matlab) 등을 이용하였지만 실제와 다소 다르다는 문제와 구현하기 힘들다는 문제를 가지고 있었다. 하지만 본 논문에서는 심플로러(Simplorer)를 이용하여 쉽고 정확한 시뮬레이터를 구현하였다. 터빈과 이중여자 유도발전기는 기어를 이용하여 직결함으로써 실제 시스템과 매우 가깝게 모사하였으며 이중여자 유도발전기의 회전자를 여자시키기 위해 이산 캐리어 변조 방법을 이용하여 매트릭스 컨버터를 구동하였다. 그리고 실험을 통해서 시뮬레이터의 결과와 실험 결과의 비교 및 검증을 한다. 궁극적으로 어떤 지역의 바람의 품질과 발전량 등 중요한 정보를 얻기 위해 실제 크기의 발전기를 설치하지 않고 본 논문에서 개발한 시뮬레이터를 이용하여 쉽게 그 정보들을 얻을 수 있다.

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Development of Thermal Power Boiler System Simulator Using Neural Network Algorithm (신경망 알고리즘을 이용한 화력발전 보일러 시스템 시뮬레이터 개발)

  • Lee, Jung Hoon
    • Journal of the Korea Society for Simulation
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    • v.29 no.3
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    • pp.9-18
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    • 2020
  • The development of a large-scale thermal power plant control simulator consists of water/steam systems, air/combustion systems, pulverizer systems and turbine/generator systems. Modeling is possible for all systems except mechanical turbines/generators. Currently, there have been attempts to develop neural network simulators for some systems of a boiler, but the development of simulator for the whole system has never been completed. In particular, autoTuning, one of the key technology developments of all power generation companies, is a technology that can be achieved only when modeling for all systems with high accuracy is completed. The simulation results show accuracy of 95 to 99% or more of the actual boiler system, so if the field PID controller is fitted to this simulator, it will be available for fault diagnosis or auto-tuning.

The Simulation of Vibration Control (진동제어 시뮬레이션)

  • Kim, Gwan-hyung;Oh, Am-suk;Kim, Song-hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.1069-1070
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    • 2015
  • 본 논문은 일반적이 가진 시스템의 설계에 있어서 입력에 대한 추종과 비주기적인 외란이 발생하였을 때 주어진 입력을 추종하는 성능과 인가된 외란에 강인성을 가지도록 시스템을 설계하여야 한다. 이러한 제어기 설계에 가장 많이 이용되는 제어기가 PID 제어기이다. 본 논문에서는 일반적으로 널리 사용되고 있는 PID 제어기와 본 논문에서 비교하고자 하는 지적-PID(intelligent PID control) 제어기에 관하여 비교하였다. 이러한 제어기의 성능 검증을 통하여 가진기 시뮬레이터의 주 제어기로 사용하고자 한다.

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Simulation Methods Development for a Plant Unit Master Control Logic Using Simulink in MATLAB (매트랩 시뮬링크를 이용한 플랜트 유닛마스터 제어로직 시뮬레이션 기법 개발)

  • Yoon, Changsun;Hong, Yeon-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.324-334
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    • 2017
  • The simulators for a plant unit master control (UMC) developed by domestic or overseas researchers have been developed for operator-training purposes. UMC simulators normally constructed at the end of the plant construction, despite the UMC logics, should be simulated to pre-check many signal interfaces within the power generation systems. Because of the differences in construction schedule, it is difficult for logic designers or commissioning engineers to simulate the UMC logic during the design or commissioning stage. In this background, this paper proposes a simulation method that can be used easily by plant logic designers or operators in the MATLAB Simulink programming environment. The core of the UMC is realized with a unique simulation algorithm based on mathematical analysis and functional blocks combination. In addition, an integer-based configuration was proposed to realize the plant target value control for the equipment in the logic. With these simulation methods, functions, e.g., load distribution, high-low limitations, frequency compensation, etc. were simulated. The results showed that the plant UMC logic can be simulated in Simulink without a plant simulator. The various functions proposed in this paper can provide useful information about Simulink-based simulation design for plant logic designers or commissioning engineers during the power plant construction period.

An Analysis of the Impact of Design Factors Using a Simulator of LH2 Storage Tank PRV System (시뮬레이터를 이용한 LH2 저장탱크 PRV시스템의 설계요소 영향분석)

  • Chungkeun Chae;Gyeongtae Im;Yonggyu Kim;Seungbeen Chae
    • Journal of the Korean Institute of Gas
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    • v.28 no.2
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    • pp.47-55
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    • 2024
  • More than 100 liquefied hydrogen tanks are expected to be introduced in Korea by 2030. Since liquefied hydrogen is stored in a vacuum insulation structure tank at -253℃, there is a possibility of a major disaster in which the tank bursts if there is a problem with insulation. Therefore, the law stipulates that PRV should be installed as the last bastion. It is important to note that in the case of liquefied hydrogen, it becomes useless if the pressure drop of the pipe is ignored and the capacity is calculated incorrectly. In CGA S-1.3, the pressure drop rate of the PRV inlet and outlet pipes is set to less than 3% and less than 10%, respectively. However, there is an interdependence between the amount of pressure drop and the flow rate of the pipe, making it impossible to calculate these values at once. Therefore, we developed a simulator that calculates the pressure loss rate of PRV system using MATLAB/Simulink and evaluated the sensitivity of the pressure drop rate to design elements.

High Resolution Spaceborne SAR Operation and Target Recognition Simulator Using STK (STK를 이용한 고해상도 위성 SAR 운용 및 표적물 추출 기법)

  • Lee, Bo-Yun;Lee, Seul-Ki;Lee, Woo-Kyung
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.24 no.3
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    • pp.299-309
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    • 2013
  • A comprehensive SAR(Synthetic Aperture Radar) simulation is considered to be a complicated task since a full knowledge of the signal propagation characteristics, antenna pattern, system internal errors and interference noises should be taken into account. In high resolution target application modes, the time varying nature of target RCS(Radar Cross Section) strongly affects the generated SAR images. In this paper, in-depth SAR simulations are performed and analyzed incorporating the STK tools and MATLAB software. STK provides realistic orbit parameters while its radar module helps to extract accurate radiometric parameters of ground targets. SAR raw data corresponding to a given target is generated and processed using MATLAB simulator. The performance is measured by PSLR(Peak Sidelobe Ratio) and ISLR(Integrated Sidelobe Ratio) for a point target, which can be used as reference parameters for accurate radiometric calibration. Finally, high resolution target simulations are performed by adopting time varying target RCS characteristics.