• Title/Summary/Keyword: Simulink Model

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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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Performance Analysis Model for Flap Actuation System using MATLAB/Simulink

  • Cho, Hyunjun;Joo, Choonshik;Kim, Kilyeong;Park, Sangjoon
    • International Journal of Aerospace System Engineering
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    • v.4 no.1
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    • pp.13-21
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    • 2017
  • In this paper, we present some results on performance analysis for flap actuation system of aircraft. For this, by utilizing MATLAB/Simulink solution, which is widely used physical model-based design tool, we particularly construct the architecture of the analysis model consisting of the main three phases: 1)commanding and outer-controlling the flap angle through flight control computer; 2)generating hydraulic/mechanical power through control module and power drive unit; 3)transmitting torque and actuating the flap through torque tube and rotary geared actuators. For mimicking the motion of the actual flap, we apply each mechanical component, which is already being used in actual aircraft, to our performance analysis model so that it guarantees the congruency of the simulation results. That is, we reflect the actual specifications of flap hardware and software as parameters of the model. Finally, simulation results are presented to illustrate the model.

Development and Optimization of the Hybrid Engine System Model to Improve the Fuel Economy (연비향상을 위한 하이브리드 엔진 시스템 모델 개발과 최적화에 관한 연구)

  • Lee, Dong-Eun;Hwang, In-Goo;Jeon, Dae-Il;Park, Sim-Soo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.6
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    • pp.65-73
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    • 2008
  • The purpose of this study is development of universal engine model for integrated Hybrid Electric Vehicle (HEV) simulator and a optimization of engine model. The engine model of this study is based on the MATLAB Simulink for universal and include engine fuel economy technologies for HEV. Various engine fuel economy technologies for HEV is estimated by commercial engine 1-D simulation program - WAVE. And, the 1-D simulation model of base version is compared with engine experiment result. The analyzed engine technologies with 1-D simulation are Dual-CVVT, Atkinson-Cycle and Cylinder-Deactivation System. There are improvement of fuel economy and power performance with Dual-CVVT model at part load and full load, pumping loss reduction with Cylinder-Deactivation System at idle and regeneration. Each estimated technologies are analyzed by 1-D simulation on all operation region for base data to converse simulink. The simulink based engine model maintains a signal with ECU for determination of engine operation point.

Design and control performance validation of HILS system based on MATLAB/Simulink (MATLAB/Simulink기반 HILS 환경 구축 및 제어 성능 검증)

  • Min-Woo Ham;Insu Paek
    • Journal of Wind Energy
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    • v.15 no.1
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    • pp.60-68
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    • 2024
  • In this study, a hardware-in-the-loop simulation (HILS) environment was established using MATLAB/Simulink to simulate and verify the power performance of a wind turbine. The target wind turbine was selected as the NREL 5 MW model, and modeling was performed based on the disclosed specifications. The HILS environment consists of a PC equipped with a MATLAB/Simulink program, a programmable logic controller (PLC) for uploading and linking control algorithms, and data acquisition (DAQ) equipment to manage wind turbine data input and output. The operation of the HILS environment was carried out as a procedure of operation (PC) of the target wind turbine modeled based on MATLAB/Simulink, data acquisition (PLC) of control algorithms, control command calculation (PLC), and control command input (PC). The simulation was performed using the HILS environment under turbulent wind conditions and compared with the simulation results performed under the same conditions in the HILS environment using the commercial program Bladed for performance verification. From the comparison, it was found that the dynamic simulation results of the Bladed HILS and the MATLAB HILS were close in power performances and the errors in the average values of rotor rotation speed and power generation between the two simulations were about 0.44 % and 3.3 %, respectively.

Test Case Generation for Simulink/Stateflow Model Based on a Modified Rapidly Exploring Random Tree Algorithm (변형된 RRT 알고리즘 기반 Simulink/Stateflow 모델 테스트 케이스 생성)

  • Park, Han Gon;Chung, Ki Hyun;Choi, Kyung Hee
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.12
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    • pp.653-662
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    • 2016
  • This paper describes a test case generation algorithm for Simulink/Stateflow models based on the Rapidly exploring Random Tree (RRT) algorithm that has been successfully applied to path finding. An important factor influencing the performance of the RRT algorithm is the metric used for calculating the distance between the nodes in the RRT space. Since a test case for a Simulink/Stateflow (SL/SF) model is an input sequence to check a specific condition (called a test target in this paper) at a specific status of the model, it is necessary to drive the model to the status before checking the condition. A status maps to a node of the RRT. It is usually necessary to check various conditions at a specific status. For example, when the specific status represents an SL/SF model state from which multiple transitions are made, we must check multiple conditions to measure the transition coverage. We propose a unique distance calculation metric, based on the observation that the test targets are gathered around some specific status such as an SL/SF state, named key nodes in this paper. The proposed metric increases the probability that an RRT is extended from key nodes by imposing penalties to non-key nodes. A test case generation algorithm utilizing the proposed metric is proposed. Three models of Electrical Control Units (ECUs) embedded in a commercial vehicle are used for the performance evaluation. The performances are evaluated in terms of penalties and compared with those of the algorithm using a typical RRT algorithm.

Performance Simulation of Turboprop Engine using SIMULINK$\circledR$ (SIMULINK$\circledR$를 이용한 터보프롭 엔진의 성능모사)

  • 공창덕;노흥석
    • Journal of the Korean Society of Propulsion Engineers
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    • v.5 no.2
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    • pp.44-50
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    • 2001
  • After modeling an aircraft turboprop engine using SIMULINK$\circledR$, performance simulation of PT6A-62 engine, which is main power plant of KT-1, was performed. For validation, performance parameters of the SIMULIINK model were compared with the simulated results by GASTURB program. It was confirm that the results by the SIMULINK model were well agreed with those by GASTURB within 1.07%, It was assumed that installation losses were bleed-air exteraction with a range from 0% to 5%, and power for accessories with a range from 0 to 20hp. In this investigation, it was found that the shafthorsepower was decreased by maxium 0.68%, but specific fuel consumption ratio was not effected nearly by these losses.

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Polymer Electrolyte Fuel Cell Simulation Using Simulink (Simulink를 이용한 고분자 전해질 연료전지 시스템 시뮬레이션)

  • Hwang, Nam-Sun;Lee, Ho-Jun;Ju, Byung-Su
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.06a
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    • pp.109-112
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    • 2007
  • In this paper, a mathematical modeling was developed to simulate 1kW class air cooled Polymer Electrolyte Membrane Fuel Cell(PEMFC) system. The proposed modeling was conducted under SIMULINK based environment. The model ing was developed based on the thermodynamic and chemical equilibrium. The objective is to design and implement the entire fuel cell system model ing including the system controller modeling. The fuel cell process and the control system modeling should have to be connected with each other simultaneously, therefore the two types of modeling influences each other when the system simulator run. The fuel cell modeling libraries are simulated using the SIMULINK under the thermodynamic and chemical equilibrium base. The PID controller application was designed and developed to test the process modeling and verify it. This the prototype development of the fuel cell system to design and test more complicate fuel cell systems, like the residential power generation system. The simulation results was compared to the real PEMFC system performance. We have achieved the reasonable accordance with the Lab test and the simulation results.

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Verification method for 4x4 MIMO algorithm implementation and results (4x4 MIMO 알고리즘 구현 및 결과에 대한 검증 방법)

  • Choi, Jun-su;Hur, Chang-wu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.5
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    • pp.1157-1162
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    • 2015
  • This paper is the design and implementation to the 4x4 MIMO algorithm based on OFDM, and presented how to verify the implemented result. Algorithm applied the MRVD and QRM-MLD. Matlab and Simulink are used to design channel presumption & MIMO algorithm by Floating-point and Fixed-point model. After then implement VHDL using Modelsim. Performance of algorithm is checked by comparing Simulink model, Modelsim simulation, ISE ChipScope with the result measured by oscilloscope. This method is useful to verify an algorithm with uncompleted system. Conformance between the result of ChipScope and the result of oscilloscope is confirmed, it could be applied on the Backhaul system.

FPGA Implementation of Doppler Invarient Low Power BFSK Receiver Using CORDIC (CORDIC을 이용한 도플러 불변 저전력 BFSK 수신기의 FPGA구현)

  • Byon, Kun-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1488-1494
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    • 2008
  • This paper is to design and implement a low power noncoherent BFSK receiver intended for future deep space communication using Xilinx System generator. The receiver incorporates a 16 point Fast Fourier Transform(FFT) for symbol detection. The design units of the receiver are digital design for better efficiency and reliability. The receiver functions on one bit data processing and supports main data rate 10kbps. In addition CORDIC algorithm is used for avoiding complex multiplications while computing FFT and multiplication of twiddle factor for low power is substituted by rotators. The design and simulation of the receiver is carried out in Simulink then the Simulink model is translated to the hardware model to implement FPGA using Xilinx System Generator and to verify performance.

MPC based path-following control of a quadcopter drone considering flight path and external disturbances in MATLAB/Simulink (MATLAB/Simulink 기반 주행 경로와 외란을 고려한 쿼드콥터 드론의 모델 예측 제어 기반 경로 주행 제어)

  • Soon-Jae Gwon;Gu-Min Jeong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.472-477
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    • 2023
  • In this paper, we proposes the use of Model Predictive Control (MPC) techniques to enable quadcopter drones to effectively follow paths and maintain flight safety even under dynamic external environments and disturbances. Through simulations conducted in MATLAB/Simulink, the performance of two controllers, PID and MPC, is compared in flight scenarios with disturbances. The proposed design method shows that the MPC controller, when compared to the PID controller, exhibits a difference in the Mean Squared Error between the intended flight path and the actual path of the quadcopter drone. This difference is 0.2 in performance under no disturbance, and it increases to 0.8 under disturbance, demonstrating the improved path following accuracy of the MPC controller.