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Thematische Bibliographien / Matlab a Simulink / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Matlab a Simulink“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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1

Liu, Yong Mei, Yong Guan und Jie Zhang. „Application in DSP/FPGA Design of Matlab/Simulink“. Advanced Materials Research 204-210 (Februar 2011): 2221–24. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.2221.

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As an off-line simulation tool, the modular modelling method of Matlab/Simulik has the features of high efficiency and visualization. In order to realize the fast design and the simulation of prototype systems, the new method of SignalWAVe/Simulink mix modelling is presented, and the Reed-Solomon codec encoder-decoder model is built. Reed-Solomon codec encoder-decoder model is simulated by Simulink. Farther, the C language program and model the .out executable file are created by SignalWAVe RTW Options module, which completes the hard ware co-simulation. The simulation result conforms to the theoretical analysis, thus it has proven the validity and the feasibility of this method.

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Yang, Yihuai, Dongya Shen, Yonggang Xie und Xiangde Li. „Matlab Simulink of COST231-WI Model“. International Journal of Wireless and Microwave Technologies 2, Nr. 3 (15.06.2012): 1–8. http://dx.doi.org/10.5815/ijwmt.2012.03.01.

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3

Lawan, Sagir, und CL Wamdeo. „Image Recognition Using MATLAB Simulink Blockset“. International Journal of Computer Science, Engineering and Applications 7, Nr. 2 (30.04.2017): 1–11. http://dx.doi.org/10.5121/ijcsea.2017.7201.

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4

Salihmuhsin, Metin, und Bassil Alhamed Aldwihi. „Matlab/Simulink ile PV Panellerinin Modellenmesi“. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 22, Nr. 2 (28.06.2019): 78–87. http://dx.doi.org/10.17780/ksujes.390417.

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5

Szántó, András, und Sándor Hajdu. „Járművek menetdinamikai szimulációja Matlab/Simulink környezetben“. International Journal of Engineering and Management Sciences 3, Nr. 2 (20.04.2018): 36–41. http://dx.doi.org/10.21791/ijems.2018.2.8.

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A következőkben járművek menetdinamikai szimulációjának a lehetőségeivel foglalkozunk. Az egyszerű kétkerék-modelltől kezdve, a valós futóművel rendelkező jármű tetszőleges útfelület mentén történő mozgásának a szimulációját mutatjuk be. A MATLAB, Simulink, valamint a Simscape nagyon jól használható eszközöket biztosít az előbb említett célok eléréséhez. Az így kapott járműmodell gyakorlati felhasználásának a hasznába is betekintést nyerünk, hiszen a szimuláció során ismert adatok birtokában gyakorlatilag bármilyen szabályozó algoritmus szimulációjára lehetőségünk van: a cikkben egy egyszerű ABS szabályozás kerül bemutatásra.

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Krismadinata, Nasrudin Abd Rahim, Hew Wooi Ping und Jeyraj Selvaraj. „Photovoltaic Module Modeling using Simulink/Matlab“. Procedia Environmental Sciences 17 (2013): 537–46. http://dx.doi.org/10.1016/j.proenv.2013.02.069.

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7

Agarwal, Varuni, und Dr Gagan Singh. „Modelling of Photovoltaic using MATLAB/SIMULINK“. International Journal of Engineering Trends and Technology 23, Nr. 9 (25.05.2015): 465–69. http://dx.doi.org/10.14445/22315381/ijett-v23p288.

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8

Ireson, Gren. „MATLAB—Student Edition. SIMULINK—Student Edition“. Electronics Education 1996, Nr. 2 (1996): 8. http://dx.doi.org/10.1049/ee.1996.0035.

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9

Saesar, Luhur Budi, Khalid bin Hasnan und Muhammad Atif Yaqub. „Hokuyo URG Series Block in Matlab Simulink“. International Journal of Computer and Communication Engineering 3, Nr. 6 (2014): 450–53. http://dx.doi.org/10.7763/ijcce.2014.v3.367.

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10

Thompson, Bradley, und Hwan-Sik Yoon. „Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling“. Modelling and Simulation in Engineering 2020 (03.09.2020): 1–16. http://dx.doi.org/10.1155/2020/6787408.

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With advancements in computer-aided design, simulation of internal combustion engines has become a vital tool for product development and design innovation. Among the simulation software packages currently available, MATLAB/Simulink is widely used for automotive system simulations, but does not contain a comprehensive engine modeling toolbox. To leverage MATLAB/Simulink’s capabilities, a Simulink-based 1D flow engine modeling framework has been developed. The framework allows engine component blocks to be connected in a physically representative manner in the Simulink environment, reducing model build time. Each component block, derived from physical laws, interacts with other blocks according to block connection. In this Part 1 of series papers, a comprehensive gas dynamics model is presented and integrated in the engine modeling framework based on MATLAB/Simulink. Then, the gas dynamics model is validated with commercial engine simulation software by conducting a simple 1D flow simulation.

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Xie, Xiao Peng, und Yun Yi Li. „Computer Simulation Study Based on Matlab“. Applied Mechanics and Materials 513-517 (Februar 2014): 3049–52. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3049.

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This paper describes the use of one of the Matlab toolbox dynamic simulation tool Simulink simulation methods, and improve simulation speed, the simulation results analysis conducted in-depth elaboration. Also describes the use of SIMULINK simulation tools to achieve automatic control system modeling, analysis and design, simulation methods and Simulink-based video and image processing module sets into visualization, modular modeling idea.

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12

Kurbanaliev, Vagid Kadirbegovich. „Phase difference measurement in software MATLAB/Simulink“. Science in figures, Nr. 1 (2) (07.03.2017): 9–12. http://dx.doi.org/10.21661/r-118076.

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13

., P. B. Thote. „MATLAB SIMULINK BASED DIGITAL PROTECTION OF TRANSFORMER“. International Journal of Research in Engineering and Technology 03, Nr. 02 (25.02.2014): 484–88. http://dx.doi.org/10.15623/ijret.2014.0302084.

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14

Chen, Shi Zhong, Zhi Gang Bao und Yi Cheng Wang. „PEMFC Parameter Simulation Based on MATLAB/SIMULINK“. Applied Mechanics and Materials 740 (März 2015): 474–78. http://dx.doi.org/10.4028/www.scientific.net/amm.740.474.

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Proton Exchange Membrane Fuel Cell (PEMFC) is established for the numerical simulation computation by using the MATLAB/SIMULINK, By changing the different working conditions, The proton exchange membrane fuel cell output performance is analyzed .Data show that the hydrogen pressure, oxygen pressure, current density, temperature, has certain influence on voltage and power distribution of PEMFC, For PEMFC to normal and stable work, according to the above conditions should be obtained the optimal value, thus ensuring optimal output performance of PEMFC.

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Acakpovi, Amevi, und Essel Ben Hagan. „Novel Photovoltaic Module Modeling using Matlab/Simulink“. International Journal of Computer Applications 83, Nr. 16 (18.12.2013): 27–32. http://dx.doi.org/10.5120/14535-2978.

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16

Tůma, Jiří, und Jolana Škutová. „Matlab & Simulink Model of Rigid Rotors“. Transactions of the VŠB - Technical University of Ostrava, Mechanical Series 57, Nr. 2 (30.12.2011): 169–76. http://dx.doi.org/10.22223/tr.2011-2/1885.

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17

Giammatteo, Paolo, Concettina Buccella und Carlo Cecati. „Matlab/Simulink Modeling of SiC Power MOSFETs“. International Review of Electrical Engineering (IREE) 9, Nr. 4 (31.08.2014): 671. http://dx.doi.org/10.15866/iree.v9i4.2909.

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18

Martyanov, A. S., E. V. Solomin und D. V. Korobatov. „Development of Control Algorithms in Matlab/Simulink“. Procedia Engineering 129 (2015): 922–26. http://dx.doi.org/10.1016/j.proeng.2015.12.135.

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19

Hofer, A., und H. Pristauz. „A Process Environment Toolbox for Matlab/Simulink“. IFAC Proceedings Volumes 30, Nr. 12 (Juli 1997): 53–58. http://dx.doi.org/10.1016/s1474-6670(17)42763-7.

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20

Mikhailov, V. G. „Use S-FUNCTION BUILDER in MATLAB/SIMULINK“. «System analysis and applied information science», Nr. 4 (06.02.2019): 57–64. http://dx.doi.org/10.21122/2309-4923-2018-4-57-64.

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The analysis of used methods of the task of external indignation in MATLAB/SIMULINK by means of the generator of white noise and the subsequent filtration and the task on points in MS.Excel (1000 values) is carried out. It is established that they do not provide the decision of the problems demanding great volumes of the data and necessary speed and cannot will be applied to more challenges (modelling of movement and loading the vehicle, the task of trajectories of flight, the equipment of passage of breeds and others). Existing approaches and receptions can be used only for the decision of simple problems. It is noticed that the majority of researchers do not use the module S-FUNCTION BUILDER because of misunderstanding of its adjustment and mastery of a language C/C++. Problems with compilation of programs in the module S-FUNCTION BUILDER are revealed. Decisions of their elimination offered at forums are not convenient in practice. The decision of this problem through installation of system variable Windows is offered.The approach and reception of the task of external indignation by means of the module S-FUNCTION BUILDER is offered, allowing to solve these problems.Adjustment and module use S-FUNCTION BUILDER for formation of external indignation for these problems are in detail considered.The program of realization of the task of external indignation in language C/C++ is offered, the initial text of the program is resulted.The block diagram of use of the module S-FUNCTION for the decision of joint modelling of movement and loading the vehicle is shown.Scopes of the offered program and the approach for probes mechatronic systems are considered.The offered approach and reception of the task of external indignation by means of the module S-FUNCTION BUILDER allows to solve challenges and to pass to more difficult imitating modelling with participation of the person.

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Asadi, Farzin, Robert E. Bolanos und Jorge Rodríguez. „Feedback Control Systems: The \MATLAB/\SIMULINK Approach“. Synthesis Lectures on Control and Mechatronics 4, Nr. 1 (16.04.2019): 1–226. http://dx.doi.org/10.2200/s00909ed1v01y201903crm005.

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22

Toumodge, S. „Advanced Control with Matlab and Simulink [Bookshelf]“. IEEE Control Systems 16, Nr. 4 (August 1996): 94. http://dx.doi.org/10.1109/mcs.1996.526918.

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23

van Schijndel, A. WM (Jos). „Advanced HVAC modeling with FemLab/Simulink/MatLab“. Building Services Engineering Research and Technology 24, Nr. 4 (November 2003): 289–300. http://dx.doi.org/10.1191/0143624403bt079oa.

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24

Zainal, Nurul Afiqah, Ajisman und Ahmad Razlan Yusoff. „Modelling of Photovoltaic Module Using Matlab Simulink“. IOP Conference Series: Materials Science and Engineering 114 (Februar 2016): 012137. http://dx.doi.org/10.1088/1757-899x/114/1/012137.

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25

Ahmad Hamdi, Roshen Tariq. „Solar cell system simulation using Matlab-Simulink“. Kurdistan Journal of Applied Research 2, Nr. 1 (30.06.2017): 45–51. http://dx.doi.org/10.24017/science.2017.1.5.

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Representation and demonstrating of sun based cells is critical for the photovoltaic framework configuration keeping in mind the end goal to get best productivity from the sun and decrease the shore of sun based cell framework. The fundamental subject of this article concentrates on a software created in MATLAB/Simulink of photovoltaic unite. This software depends on numerical equation and is depicted through a comparable The electric circuit is integrated into the photocurrent source, a diode, and a set of series and parallel resistors.The reenactment utilized as a part of this article to get the attributes (I-V), and afterward we will concentrate the impact of each parameter on the curve. The created demonstrate permits the expectation of photo-voltaic unite conduct beneth various physical and characteristic parameters. The unite can likewise be utilized to separate the physical parameters for a given sun based PV cell as an element of temperature and sunlight based irradiance.

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Parinduri, Ikhsan, und Siti Nurhabibah Hutagalung. „PERANGKAIAN GERBANG LOGIKA DENGAN MENGGUNAKAN MATLAB (SIMULINK)“. JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 5, Nr. 1 (21.01.2019): 63–70. http://dx.doi.org/10.33330/jurteksi.v5i1.300.

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Abstrack: The logic gate circuit using the simulink method matlab is a series of ways to prove between theories in simulation using the matlab program by entering parameters in the truth table at each logic gate. Parameters in the truth table consist of logic 0 for low and logic 1 for high. The simulation is done by giving input (input) and outpout (output) at each basic logic gate which consists of 7 gates of which are NOT gates, AND, OR, NAND, NOR, X-OR and X-NOR. This proof is intended as a medium to study the logic gate in higher learning learning in digital engineering learning and digital systems. Keywords: Logic Gate, Matlab, Simulink Abstrak: Perangkaian gerbang logika dengan menggunakan matlab metode simulink adalah perangkaian dengan cara pembuktian antara teori pada simulasi menggunakan program matlab dengan memasukkan parameter-paramater yang ada pada tabel kebenaran pada setiap gerbang logika. Paramter-paramater pada tabel kebenaran terdiri atas logika 0 untuk low dan logika 1 untuk high. Simulasi dilakukan dengan memberikan input (masukan) dan outpout (keluaran) pada setiap gerbang logika dasar yang teriri dari 7 gerbang daiantaranya adalah gerbang NOT, AND, OR, NAND, NOR, X-OR dan X-NOR. Pembuktian ini bertujuan sebagai media untuk mempelajari gerbang logika pada pembelajaran diperguruan tinggi pada pembelajaran teknik digital maupun sistem digital.Kata kunci : Gerbang Logika, Matlab, Simulink

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Bourbouh, Hamza, Pierre-Loïc Garoche, Christophe Garion und Xavier Thirioux. „From Lustre to Simulink“. ACM Transactions on Cyber-Physical Systems 5, Nr. 3 (Juli 2021): 1–20. http://dx.doi.org/10.1145/3461668.

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Model-based design is now unavoidable when building embedded systems and, more specifically, controllers. Among the available model languages, the synchronous dataflow paradigm, as implemented in languages such as MATLAB Simulink or ANSYS SCADE, has become predominant in critical embedded system industries. Both of these frameworks are used to design the controller itself but also provide code generation means, enabling faster deployment to target and easier V&V activities performed earlier in the design process, at the model level. Synchronous models also ease the definition of formal specification through the use of synchronous observers, attaching requirements to the model in the very same language, mastered by engineers and tooled with simulation means or code generation. However, few works address the automatic synthesis of MATLAB Simulink annotations from lower-level models or code. This article presents a compilation process from Lustre models to genuine MATLAB Simulink, without the need to rely on external C functions or MATLAB functions. This translation is based on the modular compilation of Lustre to imperative code and preserves the hierarchy of the input Lustre model within the generated Simulink one. We implemented the approach and used it to validate a compilation toolchain, mapping Simulink to Lustre and then C, thanks to equivalence testing and checking. This backward compilation from Lustre to Simulink also provides the ability to produce automatically Simulink components modeling specification, proof arguments, or test cases coverage criteria.

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Liu, Ming, und Yao Yao. „Application of Matlab/Simulink in Hydraulic Proportional System“. Applied Mechanics and Materials 341-342 (Juli 2013): 1062–65. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.1062.

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This paper introduces the features of Simulink software and presents a method for the dynamic simulation of hydraulic proportional system by Simulink. It establishes a mathematical model for hydraulic proportional system based on four-way valve controlled asymmetric hydraulic cylinder. Based on the simulation model, the paper introduces how to use Simulink to simulate the dynamic characteristics of the hydraulic proportional system, and then obtains the main parameters of the dynamic characteristics of the system. The simulation results show that Simulink is an effective way for the dynamic simulation of the hydraulic proportional system.

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Aiz, D., und P. Gendroyono. „Simulink Matlab applications program in power system: Study of effect of simulink matlab program acceptance in power system analysis“. IOP Conference Series: Materials Science and Engineering 1098, Nr. 2 (01.03.2021): 022104. http://dx.doi.org/10.1088/1757-899x/1098/2/022104.

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Coman, Mircea, und Balan Radu. „Video Camera Measuring Application Using Matlab“. Solid State Phenomena 166-167 (September 2010): 139–44. http://dx.doi.org/10.4028/www.scientific.net/ssp.166-167.139.

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This paper presents the implementation in the Matlab/Simulink environment of an application for measuring distances using a video camera. Some of the advantages of using image processing as a method of measurement and of the Matlab for designing de application. The principles that where use to obtain de distance calculated where presented. Also the steps of the application implementation in Simulink where described.

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Gordievskiy, Evgeniy. „SIMULATION OF A WIND POWER ENGINEERING MATLAB/SIMULINK INSTALLATIONS“. University News. North-Caucasian Region. Technical Sciences Series 1 (März 2020): 25–32. http://dx.doi.org/10.17213/1560-3644-2020-1-25-32.

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32

Özçelik, Mehmet Ali. „MODELING OF WIND POWER CONVERSATION SYSTEM IN MATLAB SIMULINK“. Middle East Journal of Technic 2, Nr. 2 (30.12.2017): 156–68. http://dx.doi.org/10.23884/mejt.2017.2.2.02.

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Tiwari, Vijay. „MATLAB Simulink Simulation Platform for Photonic Transmission Systems“. International Journal for Research in Applied Science and Engineering Technology 7, Nr. 5 (31.05.2019): 4111–15. http://dx.doi.org/10.22214/ijraset.2019.5695.

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Ahmad, A., M. J. Al-Mushrafi und S. Al-Busaidi. „Simulation of m-Sequence’s Properties Through MATLAB-SIMULINK“. Sultan Qaboos University Journal for Science [SQUJS] 7, Nr. 1 (01.06.2002): 147. http://dx.doi.org/10.24200/squjs.vol7iss1pp147-156.

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Based on an analytical study of the theory of m-sequences, a tool is developed to facilitate practicing engineers to either generate m-sequence for its application, or to test applied m-sequence, or both. The developed test–kit simulates all the properties of m-sequences including number of 1s and 0s, the run lengths, pulse periods as well as autocorrelation properties. This simplified tool is developed using MATLAB–SIMULINK with required codes as well as desired blocks. The model is cost-effective and the output files of the generated SIMULINK models can be utilized in any software program or simulation procedures.

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BINH, Le Nguyen. „MATLAB Simulink Simulation Platform for Photonic Transmission Systems“. International Journal of Communications, Network and System Sciences 02, Nr. 02 (2009): 97–117. http://dx.doi.org/10.4236/ijcns.2009.22012.

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36

Zakri, Azriyenni Azhari, Nurhalim Nurhalim, Dohardo P. H. Simanulang und Ihwallibi Tribowo. „PHOTOVOLTAIC MODELING METHODS BASED ON MATLAB SIMULINK IMPLEMENTATION“. SINERGI 22, Nr. 1 (28.02.2018): 1. http://dx.doi.org/10.22441/sinergi.2018.1.001.

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This paper presents photovoltaic system as a stand-alone electric power plant in the renewable energy development. To maximize these stand-alone generators, it is necessary to design photovoltaic modeling to produce energy and maximum power. The problems that exist in the design of PV systems are PV configuration, battery size, and the maximum power system. Therefore, this research will be proposed modeling Matlab/Simulink based PV system. The contribution of this research can provide various characteristics of the photovoltaic system with a capacity of 100 Wp. This modeling is designed using Matlab/Simulink software. The data generated from this simulation will provide a good reference for designing the stand-alone generators in the future.

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YANG, Jie, Qing-dong YAN und Yue MA. „2D circle calibration method based on Matlab/Simulink“. Journal of Computer Applications 30, Nr. 6 (24.06.2010): 1610–12. http://dx.doi.org/10.3724/sp.j.1087.2010.01610.

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Chabibi, Bassim, Adil Anwar und Mahmoud Nassar. „Model Integration Approach from SysML to MATLAB/Simulink“. Journal of Digital Information Management 16, Nr. 6 (01.12.2018): 289. http://dx.doi.org/10.6025/jdim/2018/16/6/289-307.

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Thanh, Ngo Ngoc, und Nguyen Phung Quang. „SIMULATION OF RECONFIGURATION SYSTEM USING MATLAB-SIMULINK ENVIRONMENT“. Journal of Computer Science and Cybernetics 34, Nr. 2 (03.10.2018): 127–43. http://dx.doi.org/10.15625/1813-9663/34/2/9194.

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Reconfiguration strategy is intended to minimize losses and increase efficiency of the photovoltaic (PV) system under non-homogeneous solar irradiation based on irradiance equalization. The reconfiguration system (RS) includes: irradiance equalization algorithms which is effective in the calculation to find optimal configuration; dynamic electrical scheme (DES) switching matrix which is controlled to obtain the optimal configuration for PV array. The recent publications focus on bringing out the algorithms with the aim to select the optimal connection configuration and control DES switching matrix. However, no published work has used Matlab-simulink to simulate RS operation. In this paper, the author uses the Matlab-simulink environment to simulate RS operation. Through results, the model demonstrates that with RS, the effectiveness of the PV array performance can rise by 10-50% under non-homogeneous solar irradiation.

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Gencer, C., und M. Gedikpinar. „Modeling and Simulation of BLDCM Using MATLAB/SIMULINK“. Journal of Applied Sciences 6, Nr. 3 (15.01.2006): 688–91. http://dx.doi.org/10.3923/jas.2006.688.691.

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Chauhan, Babita, und Rachit Saxena. „Transient Behavior of Synchronous machine using Matlab/Simulink“. IJIREEICE 3, Nr. 5 (15.05.2015): 198–200. http://dx.doi.org/10.17148/ijireeice.2015.3548.

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Valera, A., M. Vallés und J. Tornero. „Real-Time Robot Control Implementation with Matlab/Simulink“. IFAC Proceedings Volumes 34, Nr. 9 (Juli 2001): 527–32. http://dx.doi.org/10.1016/s1474-6670(17)41762-9.

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Radionova, L. V., und A. D. Chernyshev. „Mathematical Model of the Vehicle in MATLAB Simulink“. Procedia Engineering 129 (2015): 825–31. http://dx.doi.org/10.1016/j.proeng.2015.12.114.

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Thomas, Philippe. „System design through MATLAB, control toolbox and SIMULINK“. Automatica 38, Nr. 3 (März 2002): 563–64. http://dx.doi.org/10.1016/s0005-1098(01)00216-3.

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Holzhüter, Th. „Simulation of relay control systems using MATLAB/SIMULINK“. Control Engineering Practice 6, Nr. 9 (September 1998): 1089–96. http://dx.doi.org/10.1016/s0967-0661(98)00068-9.

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Grabher, Patrick, Matthias Rößler und Bernhard Heinzl. „Implementation of Quantized State Systems in MATLAB/Simulink“. SNE Simulation Notes Europe 24, Nr. 3-4 (Dezember 2014): 185–90. http://dx.doi.org/10.11128/sne.24.tn.10269.

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Bucher, Roberto, und Silvano Balemi. „Rapid Controller Prototyping with Matlab/Simulink and Linux“. IFAC Proceedings Volumes 36, Nr. 10 (Juni 2003): 315–19. http://dx.doi.org/10.1016/s1474-6670(17)33699-6.

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Manbir Kaur, Vinit Kumar,. „Power Quality Event Generation in MATLAB/Simulink Environment“. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 04, Nr. 07 (20.07.2015): 6055–59. http://dx.doi.org/10.15662/ijareeie.2015.0407049.

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akumar, Susmi.K.M, Meera G. Rima V. Ajay. „Analysis of Bridgeless PFC Rectifier using MATLAB-SIMULINK“. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 4, Nr. 8 (20.08.2015): 7008–15. http://dx.doi.org/10.15662/ijareeie.2015.0408027.

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Schoder, K., A. Hasanovic und A. Feliachi. „PAT: A Power Analysis Toolbox for MATLAB/Simulink“. IEEE Power Engineering Review 22, Nr. 11 (November 2002): 58. http://dx.doi.org/10.1109/mper.2002.4311828.

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