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Journal articles on the topic 'Matlab Simulink'

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1

Liu, Yong Mei, Yong Guan, and Jie Zhang. "Application in DSP/FPGA Design of Matlab/Simulink." Advanced Materials Research 204-210 (February 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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Salihmuhsin, Metin, and Bassil Alhamed Aldwihi. "Matlab/Simulink ile PV Panellerinin Modellenmesi." Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 22, no. 2 (June 28, 2019): 78–87. http://dx.doi.org/10.17780/ksujes.390417.

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Szántó, András, and Sándor Hajdu. "Járművek menetdinamikai szimulációja Matlab/Simulink környezetben." International Journal of Engineering and Management Sciences 3, no. 2 (April 20, 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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Yang, Yihuai, Dongya Shen, Yonggang Xie, and Xiangde Li. "Matlab Simulink of COST231-WI Model." International Journal of Wireless and Microwave Technologies 2, no. 3 (June 15, 2012): 1–8. http://dx.doi.org/10.5815/ijwmt.2012.03.01.

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Lawan, Sagir, and CL Wamdeo. "Image Recognition Using MATLAB Simulink Blockset." International Journal of Computer Science, Engineering and Applications 7, no. 2 (April 30, 2017): 1–11. http://dx.doi.org/10.5121/ijcsea.2017.7201.

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6

Krismadinata, Nasrudin Abd Rahim, Hew Wooi Ping, and 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, and Dr Gagan Singh. "Modelling of Photovoltaic using MATLAB/SIMULINK." International Journal of Engineering Trends and Technology 23, no. 9 (May 25, 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, no. 2 (1996): 8. http://dx.doi.org/10.1049/ee.1996.0035.

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9

Yang, Yihuai, Dongya Shen, Yonggang Xie, and Xiangde Li. "Matlab Simulink of COST231-WI Model." International Journal of Wireless and Microwave Technologies 2, no. 3 (June 15, 2012): 1–8. http://dx.doi.org/10.5815//ijwmt.2012.03.01.

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10

Thompson, Bradley, and Hwan-Sik Yoon. "Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling." Modelling and Simulation in Engineering 2020 (September 3, 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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Pekh, P., S. Lavrenchuk, O. Miskevych, and R. Diachenko. "Порівняльний аналіз методів розв’язування диференціальних рівнянь засобами Matlab та Matlab Simulink." COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 48 (October 1, 2022): 103–10. http://dx.doi.org/10.36910/6775-2524-0560-2022-48-16.

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В статті зроблена спроба проаналізувати методи розв’язування диференціальних рівнянь засобами Matlab та Matlab Simulink. Наведені коди програм, структурні схеми та результати моделювання двох диференціальних рівнянь.
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Xie, Xiao Peng, and Yun Yi Li. "Computer Simulation Study Based on Matlab." Applied Mechanics and Materials 513-517 (February 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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Wu, Zhiyong, Hongping Wang, Yiwen Zhang, and Minglu Ai. "Robot physical modeling based on matlab/simulink." Journal of Physics: Conference Series 2113, no. 1 (November 1, 2021): 012076. http://dx.doi.org/10.1088/1742-6596/2113/1/012076.

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Abstract Robots play an irreplaceable role in the manufacturing industry. The use of machines instead of humans‘activing. It is a long-term development trend, but it is difficult to realize the research of real robots, and the data that the robot can collect is less. In response to the above problems, this article mainly proposes a method of physical modeling using matlab/simulink. This method can realize research without robots, and can obtain more robot-related data. This method includes robot physical modeling, importing into simulink and packaging in simulink. This article is mainly aimed at IRB6700 robot to complete the simulation platform construction.
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Parinduri, Ikhsan, and Siti Nurhabibah Hutagalung. "PERANGKAIAN GERBANG LOGIKA DENGAN MENGGUNAKAN MATLAB (SIMULINK)." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 5, no. 1 (January 21, 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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15

Saesar, Luhur Budi, Khalid bin Hasnan, and Muhammad Atif Yaqub. "Hokuyo URG Series Block in Matlab Simulink." International Journal of Computer and Communication Engineering 3, no. 6 (2014): 450–53. http://dx.doi.org/10.7763/ijcce.2014.v3.367.

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16

Bourbouh, Hamza, Pierre-Loïc Garoche, Christophe Garion, and Xavier Thirioux. "From Lustre to Simulink." ACM Transactions on Cyber-Physical Systems 5, no. 3 (July 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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17

Acakpovi, Amevi, and Essel Ben Hagan. "Novel Photovoltaic Module Modeling using Matlab/Simulink." International Journal of Computer Applications 83, no. 16 (December 18, 2013): 27–32. http://dx.doi.org/10.5120/14535-2978.

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18

Giammatteo, Paolo, Concettina Buccella, and Carlo Cecati. "Matlab/Simulink Modeling of SiC Power MOSFETs." International Review of Electrical Engineering (IREE) 9, no. 4 (August 31, 2014): 671. http://dx.doi.org/10.15866/iree.v9i4.2909.

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19

Tůma, Jiří, and Jolana Škutová. "Matlab & Simulink Model of Rigid Rotors." Transactions of the VŠB - Technical University of Ostrava, Mechanical Series 57, no. 2 (December 30, 2011): 169–76. http://dx.doi.org/10.22223/tr.2011-2/1885.

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20

Ahmad Hamdi, Roshen Tariq. "Solar cell system simulation using Matlab-Simulink." Kurdistan Journal of Applied Research 2, no. 1 (June 30, 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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21

Chen, Shi Zhong, Zhi Gang Bao, and Yi Cheng Wang. "PEMFC Parameter Simulation Based on MATLAB/SIMULINK." Applied Mechanics and Materials 740 (March 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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., P. B. Thote. "MATLAB SIMULINK BASED DIGITAL PROTECTION OF TRANSFORMER." International Journal of Research in Engineering and Technology 03, no. 02 (February 25, 2014): 484–88. http://dx.doi.org/10.15623/ijret.2014.0302084.

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23

Kurbanaliev, Vagid Kadirbegovich. "Phase difference measurement in software MATLAB/Simulink." Science in figures, no. 1 (2) (March 7, 2017): 9–12. http://dx.doi.org/10.21661/r-118076.

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24

Toumodge, S. "Advanced Control with Matlab and Simulink [Bookshelf]." IEEE Control Systems 16, no. 4 (August 1996): 94. http://dx.doi.org/10.1109/mcs.1996.526918.

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

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26

Martyanov, A. S., E. V. Solomin, and 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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27

Hofer, A., and H. Pristauz. "A Process Environment Toolbox for Matlab/Simulink." IFAC Proceedings Volumes 30, no. 12 (July 1997): 53–58. http://dx.doi.org/10.1016/s1474-6670(17)42763-7.

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28

Mikhailov, V. G. "Use S-FUNCTION BUILDER in MATLAB/SIMULINK." «System analysis and applied information science», no. 4 (February 6, 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, and Jorge Rodríguez. "Feedback Control Systems: The \MATLAB/\SIMULINK Approach." Synthesis Lectures on Control and Mechatronics 4, no. 1 (April 16, 2019): 1–226. http://dx.doi.org/10.2200/s00909ed1v01y201903crm005.

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van Schijndel, A. WM (Jos). "Advanced HVAC modeling with FemLab/Simulink/MatLab." Building Services Engineering Research and Technology 24, no. 4 (November 2003): 289–300. http://dx.doi.org/10.1191/0143624403bt079oa.

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31

E, Aswathy, Athil Shaji, Atul V. Chandran, Bhavya Bijoy, Dr Sreelal Pillai, Anu Assis, Vishnu Damodaran, and Sajeena A. "Integrated Vehicle Health Management System: Matlab Simulink." International Research Journal on Advanced Science Hub 6, no. 03 (March 25, 2024): 40–46. http://dx.doi.org/10.47392/irjash.2024.008.

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32

Waimbo, Korinus. "Pemodelan Modul Fotovoltaik Sederhana menggunakan Matlab/Simulink." Jurnal Fisika Papua 3, no. 1 (February 15, 2024): 1–7. http://dx.doi.org/10.31957/jfp.v3i1.154.

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Meningkatkan performa teknologi fotovoltaik (PV) membutuhkan pemahaman karakteristik kelistrikan dari modul PV. Salah satu karakteristik kelistrikan modul PV ditunjukan oleh kurva arus-tegangan (I-V) dan kurva daya-tegangan (P-V). Penelitian ini bertujuan untuk mengembangkan model sederhana modul PV untuk memahami karakteristik kurva I-V dari modul PV. Desain model dan simulasi hasil dilakukan menggunakan perangkat lunak Matlab/Simulink. Modul PV Solarex MSX-60 dipakai sebagai referensi untuk validasi model. Hasil simulasi menunjukan bahwa arus, tegangan dan daya keluaran dari modul PV sangat dipengaruhi oleh tingkat iradiansi, temperatur modul dan material semikonduktor yang digunakan
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Pan, Yunping, and Wenxuan Huang. "Tire dynamics simulation based on MATLAB/Simulink." Journal of Physics: Conference Series 2787, no. 1 (June 1, 2024): 012024. http://dx.doi.org/10.1088/1742-6596/2787/1/012024.

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Abstract This paper explores different tire models to address the challenge of simulating tire dynamic characteristics. The Magic Formula is utilized to establish the dynamic model of the tire using the MATLAB/Simulink tool. Simulation analysis is performed under three distinct operating conditions: pure braking, pure cornering, and combined. The outcomes demonstrate that the mechanical properties of automotive tires can be effectively simulated using the Magic Formula tire model. Controlling the longitudinal slip ratio within a 10% range, maintaining the slip angle within a range of 7 degrees, and ensuring that the vertical load on the tire does not exceed 6 KN significantly contribute to enhancing the stability and handling of the vehicle.
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Liu, Ming, and Yao Yao. "Application of Matlab/Simulink in Hydraulic Proportional System." Applied Mechanics and Materials 341-342 (July 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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Anand Babu, Inaganti, Belle Ganesh, and Selvamuthukumar M. "Electric Vehicle Modeling & Simulation Using MATLAB SIMULINK." YMER Digital 21, no. 06 (June 25, 2022): 848–57. http://dx.doi.org/10.37896/ymer21.06/84.

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In this design, we use MATLAB SIMULINK tool blocks to create an electric car model. Vehicles using IC engines perform well and last longer. However, as a result of low energy efficiency and pollution-causing emigrations, interest in electric vehicles is growing. Electric vehicles have a limited range and cannot go at high speeds. Long-range vehicles are becoming more common as battery and electric motor technology improves. As a result, by selecting the motor and battery based on the region and driving cycle, the performance of these cars may be improved. In this study, the dynamics model of an electric car was created using MATLAB SIMULINK. Keywords: Electric vehicle, MATLAB SIMULINK, Simulation Drive Cycle
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Aiz, D., and 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, no. 2 (March 1, 2021): 022104. http://dx.doi.org/10.1088/1757-899x/1098/2/022104.

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TEPPA-GARRAN, Pedro, Fabian Arzola, and Elias Elyas. "Ajuste óptimo de controladores PID mediante Matlab/Simulink." Anales de Ciencias Básicas, Físicas y Naturales, no. 37 (November 17, 2023): 15–32. http://dx.doi.org/10.58479/acbfn.2021.20.

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Se desarrolla un método de sintonización de controladores PID basado en un diseño óptimo utilizando la plataforma Matlab/Simulink. Esto permite, mediante el empleo de las poderosas herramientas provistas por Matlab/Simulink, transformar muchos problemas de control óptimo en un problema de optimización convencional. Para luego realizar la sintonización óptima de los parámetros de un controlador PID, de una manera sencilla, a través de los métodos numéricos provistos por Matlab. Estos métodos, si bien no suministran elegantes soluciones analíticas, pueden ser extremadamente poderosos para aportar soluciones prácticas a problemas de control. La versatilidad de los algoritmos numéricos de Matlab permite considerar procesos más complejos, restricciones en los actuadores, ruido en los sensores y perturbaciones. En resumen, un problema mucho más realista.
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Gordan, Daniel, and Marek Pástor. "Power Semiconductor Losses Simulation Capabilities in Matlab/Simulink." Acta Electrotechnica et Informatica 23, no. 4 (December 1, 2023): 30–34. http://dx.doi.org/10.2478/aei-2023-0020.

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Abstract The paper describes methods of simulation conduction and switching losses of power semiconductors in MATLAB/Simulink. The comparison of simulation results for Infineon’s semiconductor with PLECS Standalone simulation is presented. The results show that the simple ideal switching model of the IGBT in Simulink gives similar results to the PLECS simulation with the Infineon PLECS library.
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Coman, Mircea, and 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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Zatonskiy, A. V., and I. S. Dolgopolov. "Simulation of three winding power transformer in Matlab Simulink." Vestnik IGEU, no. 4 (August 31, 2022): 64–72. http://dx.doi.org/10.17588/2072-2672.2022.4.064-072.

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Background. It is difficult to analyze the energy efficiency of 110 kV electrical networks due to the lack of the possibility to conduct experiments on operating equipment, namely on power transformers. The existing methods of mathematical calculation of electrical networks do not provide a wide opportunity to study the modes of 110 kV networks. Computational experiments to analyze the energy efficiency of equipment operation reduce the risks of equipment damage and injury of maintenance personnel. Also, it allows you to explore the necessary operation modes of a 110 kV electrical network, including power transformers. Materials and methods. The transformer model is developed in the Matlab virtual laboratory using the Simpowersystem toolbox. Results. The passport data of the transformer of the type TDTN-25000/110-U1 are given. The use of a star circuit instead of a T-shaped equivalent circuit is studied since the transformer has three windings. Virtual models are developed to conduct short circuit and open circuit experiments. The calculation of the magnetization curve of the transformer core is carried out. Using a new virtual model of a transformer of the TDTN-25000/110-U1 type, the processes of short circuit and open circuit are studied. The correspondence of the simulation results and the passport data of a real transformer is presented. The oscillograms of the magnetizing current inrush are obtained. They also correspond to the real ones. Conclusions. The model error in comparison with the passport data of a real transformer does not exceed 5 %. The model is recommended to be used to analyze the energy efficiency of 110 kV electrical networks. The promising trend to research the model of a power transformer is to add the voltage regulator under load as the operation condition.
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41

Isnaini, Muhammad, and Mega Silfia Dewy. "PEMANFAATAN MATLAB SIMULINK SEBAGAI MEDIA PEMBELAJARAN PRAKTIKUM SECARA DARING." JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN 8, no. 2 (December 31, 2021): 169. http://dx.doi.org/10.24114/jtikp.v8i2.31386.

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Abstrak: Penelitian ini bertujuan untuk mendeskripsikan pemanfaatan software Matlab Simulink sebagai alternatif media pembelajaran praktikum secara daring pada matakuliah Praktek Mesin Listrik di Program Studi Pendidikan Teknik Elektro Fakultas Teknik Universitas Negeri Medan. Subjek penelitian terdiri dari seluruh mahasiswa angkatan 2019 yang mengambil matakuliah Praktek Mesin Listrik di kelas C dan D yang berjumlah 25 orang. Pengumpulan data ditempuh mulai dari observasi, wawancara, dan analisis dokumen yang berkaitan dengan permasalahan tersebut.. Teknik validasi pada penelitian ini menggunakan validasi triangulasi teknik. Hasil penelitian menunjukkan bahwa pemanfaatan software Matlab Simulink dalam proses pembelajaran pada matakuliah Praktek Mesin Listrik cukup efektif membantu dosen dan mahasiswa dalam mencapai tujuan pembelajaran. Lebih lanjut, sebagian besar para mahasiswa memberikan respon positif terhadap proses pembelajaran yang dilaksanakan. Kata Kunci : Matlab Simulink, media pembelajaran praktikum daring Abstract: This research aims to describe the use of Matlab Simulink software as an alternative to online practicum learning media in the subjects of Electrical Machine Practice in the Electrical Engineering Education Study Program of the Faculty of Engineering, Medan State University. The study subjects consisted of all students of the class of 2019 who took electrical machine practice courses in grades C and D which amounted to 25 people. Data collection is taken starting from observation, interview, and analysis of documents related to the problem. The validation technique in this study uses the validation of triangulation techniques. The results showed that the use of Matlab Simulink software in the learning process in the electrical machine practice course is quite effective in helping lecturers and students in achieving learning goals. Furthermore, most of the students gave a positive response to the learning process carried out. Keywords: Matlab Simulink, online practicum learning media
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42

Guo, Xiao Ping, Wei Zheng, and Yi Chao Wu. "The Application of VB Matlab and AutoCAD in IC Engine Optimization Design." Applied Mechanics and Materials 543-547 (March 2014): 1951–54. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1951.

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Estimating the advantages and disadvantages of Matlab/Simulink, Visual Basic (VB) and AutoCAD software, the model of the working process of internal combustion (IC) engine was built based on Matlab/Simulink, and the drawing programs for engine structure were written with the parametric design language AutoLISP. A user-friendly VB interface of inputting parameter was established, realizing VB coupled with AutoCAD and Matlab/Simulink software. Calling the AutoLISP drawing program nested in the AutoCAD and Matlab/Simulink software via VB, integration of the simulation and analysis of the engine and the CAD drawing of its body can be achieved. Its more efficient to analyze the performance and optimize the structure parameters of engines.
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43

Konovalov, Yuriy, and Aleksey Haziev. "SOLAR INSOLATION CALCULATION PROGRAM IN MATLAB / SIMULINK ENVIRONMENT." Bulletin of the Angarsk State Technical University 1, no. 15 (January 12, 2022): 66–70. http://dx.doi.org/10.36629/2686-777x-2021-1-15-66-70.

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The article describes the mathematical calculation of the inflow of solar insolation, the device and operation of the insolation calculation program, graphs showing the change in radiation from the influence of weather factors, the location of the installation of solar receivers are ob-tained
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44

Martyanov, A. S., V. D. Shepelev, and V. G. Mavrin. "Electric Vehicle Chassis Simulation Model in MATLAB/Simulink." IOP Conference Series: Earth and Environmental Science 666, no. 3 (March 1, 2021): 032059. http://dx.doi.org/10.1088/1755-1315/666/3/032059.

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45

Chong, C. H., A. R. H. Rigit, and I. Ali. "Wind turbine modelling and simulation using Matlab / SIMULINK." IOP Conference Series: Materials Science and Engineering 1101, no. 1 (March 1, 2021): 012034. http://dx.doi.org/10.1088/1757-899x/1101/1/012034.

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46

Gencer, C., and M. Gedikpinar. "Modeling and Simulation of BLDCM Using MATLAB/SIMULINK." Journal of Applied Sciences 6, no. 3 (January 15, 2006): 688–91. http://dx.doi.org/10.3923/jas.2006.688.691.

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Chauhan, Babita, and Rachit Saxena. "Transient Behavior of Synchronous machine using Matlab/Simulink." IJIREEICE 3, no. 5 (May 15, 2015): 198–200. http://dx.doi.org/10.17148/ijireeice.2015.3548.

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48

BINH, Le Nguyen. "MATLAB Simulink Simulation Platform for Photonic Transmission Systems." International Journal of Communications, Network and System Sciences 02, no. 02 (2009): 97–117. http://dx.doi.org/10.4236/ijcns.2009.22012.

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49

Thanh, Ngo Ngoc, and Nguyen Phung Quang. "SIMULATION OF RECONFIGURATION SYSTEM USING MATLAB-SIMULINK ENVIRONMENT." Journal of Computer Science and Cybernetics 34, no. 2 (October 3, 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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50

Б. А. Нурсеитов. "ИМИТАЦИОННАЯ МОДЕЛЬ СОЛНЕЧНОЙ РАДИАЦИИ В СРЕДЕ MATLAB SIMULINK." Bulletin of Toraighyrov University. Energetics series, no. 1.2022 (March 18, 2022): 144–56. http://dx.doi.org/10.48081/umhe8677.

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Солнечная энергия является одной из чистых видов энергии которая имеется у человечества на данное время. Рациональное и эффективное применение ее на благо развития нашей цивилизации является основной задачей. Существующие теоретические методы для определения величины потока солнечной радиации разнообразны. Ядром для разработки имитационной модели в данной статье основана на методике, предложенной Liu, Jordan и ASHRAE. В результате сочетания этих методов получилась имитационная модель для прогнозирования солнечной радиации на поверхность проектируемых солнечных установок. В качестве средой для модели применена пакет расширения Simulink на основе Matlab. Шаблон модели также можно использовать на других платформах подобно Java или Python для дальнейшей реализации. Разработанная модель может быть использовано для экспериментирования в целях анализа, оценки и определения суммарного солнечного радиации по часам для ясных дней, поскольку именно в эти дни процессы, происходящие в солнечных установках, имеют наибольшую эффективность. Кроме того, данную модель можно использовать как звено для моделирования солнечных электростанции. Результаты моделирования солнечной радиации были проверены с базой данных Power Data Access Viewer NASA.
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