• Title/Summary/Keyword: MATLAB

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Bi-directional Buck-Boost Converter Controller Design Method for ESS using Matlab SISO TOOL (Matlab SISO TOOL을 이용한 ESS용 양방향 벅-부스트 컨버터 제어기 설계 기법)

  • ParK, Hae-Chan;Kim, Il-Song
    • The Transactions of the Korean Institute of Power Electronics
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    • v.21 no.6
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    • pp.457-464
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    • 2016
  • This study proposes a bi-directional buck-boost converter controller design method for ESS using the MATLAB SISO tool. The conventional two-loop controller design is based on a continuous S-domain model that designs each controller independently. The demerit of the conventional method is that optimal performance is not easily achieved and extensive trials and errors are required because two-loop systems interact with one another. Using the MATLAB SISO tool based on the design method proposed in this work overcomes the disadvantages of the conventional method. In the proposed method, the SISO tool can select the location of the poles and zeroes of the open loop system, thereby facilitating the effective design of a high-performance controller. The design sequence is detailed systematically, and the performance of the method is verified with a computer simulation and 10 kW experimental system.

Development of MATLAB/Simulink Modular Simulation Toolbox for Space Shuttle Main Engine (MATLAB/Simulink 모듈화 기반 우주왕복선 주엔진 시뮬레이션 툴박스 개발)

  • Cho, Woosung;Cha, Jihyoung;Ko, Sangho
    • Journal of the Korean Society of Propulsion Engineers
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    • v.23 no.4
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    • pp.50-60
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    • 2019
  • This paper introduces the development of a toolbox for the Space Shuttle Main Engine(SSME) based on MATLAB/Simulink. A mathematical model of rocket engine creation and validation can be a complex process, the development of a rocket engine toolbox simplifies this process, thereby facilitating engine performance optimization as well as new design development. The mathematical modeling of the SSME dealt with in this paper is formed by 32 first-order differential equations derived from seven governing equations. We develop the toolbox for the SSME classifying each module according to the engine components. Further, we confirm the validity of the toolbox by comparing the results of the simulation obtained using the toolbox with those obtained using the original simulation of the engine.

Speed Control of Induction Machine with Fuzzy PI Controller using MATLAB/SIMULINK (MATLAB/SIMULINK를 이용한 유도전동기 퍼지 PI제어기의 속도제어)

  • 이학주
    • Proceedings of the KIPE Conference
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    • 2000.07a
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    • pp.211-214
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    • 2000
  • The conventional PI controller has been widely used in industrial application due to the simple control algorithm. But it is very difficult to find the optimal PI control gain. Therefore in this paper to obtain optimal performance fuzzy proportional-plus-integral controller for the vector control system of an induction machine is presented. The simulation model is created in MATLAB/SIMULINK. The simulation results demonstrate the good performance of this system.

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Robot Control integrating LabVIEW and Matlab

  • Balashov, V.S.;Skatova, D.D.;Choi, S.J.
    • Proceedings of the KAIS Fall Conference
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    • 2007.05a
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    • pp.249-252
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    • 2007
  • This study shows possibility of Matlab and LabVIEW integration for controlling of robot's manipulator. Examined approach can be used for control of complex system with intelligent control capability. Instance of Robotic System controller is described in details. Structure of control system is divided into three parts Virtual Instrument of LabVIEW, MatLab Script for solving and Matlab Simulink model for visualizing, which are explained separately. In addition, used neglects are explained and founded.

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Simulation Model of Tidal Turbine System Using Matlab Simulink (Matlab Simulink를 이용한 조류발전 시뮬레이션 모델 구현)

  • Choi, Jong-Suck;Kwon, Jeong-Min;Lee, Hong-Hee
    • Proceedings of the KIPE Conference
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    • 2010.07a
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    • pp.391-392
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    • 2010
  • 본 논문에서는 조류발전 시스템의 시험을 위한 시뮬레이터를 구현하였다. 조류발전 시뮬레이터 모델은 회전자 모델, MPPT 알고리즘, 발전기 등을 포함하고 있으며 Matlab Simulink를 이용해 구현했다. 제안한 조류 발전용 시뮬레이터를 이용해 조류발전에서 주속비(Tip Speed Ratio) 제어방식의 출력 특성에 대한 시뮬레이션을 수행하여 그 타당성을 분석하였다.

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BEGINNER'S GUIDE TO NEURAL NETWORKS FOR THE MNIST DATASET USING MATLAB

  • Kim, Bitna;Park, Young Ho
    • Korean Journal of Mathematics
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    • v.26 no.2
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    • pp.337-348
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    • 2018
  • MNIST dataset is a database containing images of handwritten digits, with each image labeled by an integer from 0 to 9. It is used to benchmark the performance of machine learning algorithms. Neural networks for MNIST are regarded as the starting point of the studying machine learning algorithms. However it is not easy to start the actual programming. In this expository article, we will give a step-by-step instruction to build neural networks for MNIST dataset using MATLAB.

Implementation of MATLAB Script for a Vehicle Curve Trajectory Generation in ADAS Simulation (ADAS 시뮬레이션 상 차량 곡선 궤적 생성을 위한 MATLAB 스크립트 구현)

  • Jeonghyun Ryu;Eunbyung Park
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.1129-1130
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    • 2023
  • 본 논문에서는 신규 차량 안전성 평가를 위한 ADAS 시뮬레이션 상에서 곡선 궤적을 효과적으로 생성할 수 있는 MATLAB 스크립트를 구현하였다. 본 연구를 통해 곡선 궤적 좌표를 생성하고 수작업으로 대입하는 과정을 간소화할 수 있으며, 또한 다른 시나리오에서 적용할 곡선 궤적을 편리하게 생성할 수 있을 것으로 기대한다.

Control of Inrush Current during Grid Connection of Induction-type Wind Power Generator on MATLAB/Simulink (MATLAB/Simulink를 이용하여 유도형 풍력발전기 계통연계시 발생하는 돌입전류 제어)

  • Jang, EunYoung;Kyung, NamHo;Kim, HongWoo
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.06a
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    • pp.186.1-186.1
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    • 2010
  • 풍력발전 설비의 발전기로는 구조가 간단하고 견실한 유도형 발전기가 일반적으로 사용되고 있다. 풍력발전은 계통 연계시에 정격전류의 7~8배의 돌입전류가 흘러 발전저하를 무시하기 어렵다. 따라서, 돌입전류 억제 및 대책의 검토가 필요하다. 본 연구는 MATLAB/SIMULINK를 통해 유도기형 풍력발전기를 모델링 및 시뮬레이션하고, 유도기형 풍력발전기 계통연계시 발생하는 돌입전류를 저감하는 방법에 대해 살펴보았다.

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Non-ideal filter interference calculation algorithm (Non-ideal 필터에 수신된 간섭전력 계산 방법)

  • Kim, Young-Hwan;Eo, Pil-Seon;Yang, Hoon-Gee;Shin, Hyun-Chol;Yang, Sung-Hyun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.5 no.2 s.10
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    • pp.11-18
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    • 2006
  • In this paper, we present the algorithm for calculating the interference of the received Non-ideal receiver filter and present the method for calculating the interference faster than that of the conventional method. The algorithm is simulated by Matlab and the simulation procedure is described by the flow-chart. The algorithm is verified by comparing the simulated results by Matlab with the result by calculator.

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