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1

Bourbouh, Hamza, Pierre-Loïc Garoche, Christophe Garion, and Xavier Thirioux. "From Lustre to Simulink." ACM Transactions on Cyber-Physical Systems 5, no. 3 (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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Ermakov, S. G., A. V. Zabrodin, A. V. Krasnovidov, and A. D. Homonenko. "INTERACTION SIMULINK-MODELS OF COMPLEX AND INTELLIGENT SYSTEMS WITH PROGRAMS IN HIGH-LEVEL LANGUAGES." T-Comm 16, no. 12 (2022): 23–31. http://dx.doi.org/10.36724/2072-8735-2022-16-12-23-31.

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The MatLab package and its extension in the form of Simulink block modeling system form a visual and effective tool for modeling complex and intelligent systems. This bundle provides one of the most effective ways to reduce the time to determine optimal parameters of control actions in the simulation. A further increase in the efficiency of modeling complex and intelligent systems can be achieved through the use of high-level programming languages. The purpose of the study is to consider the methods of interaction between MatLab and Simulink with programs in high-level languages C and C++. to improve the efficiency of the modeling process. Methods and means. Interaction between the MatLab and Simulink packages is implemented using the following methods: executing a file from the S-model window, as well as by launching the S-model from the MatLab command line or from an m-file, followed by processing the simulation results using MatLab software and C or C programming languages ++. Results. A practical implementation of the interaction of these tools (Matlab + Simulink + high-level programming languages C or C++) has been completed. Practical significance. Software implementations for creating S-functions of levels 1 and 2 are presented with a demonstration of the results of work and the implementation of S-functions in a high-level language is considered. The proposed organization of the interaction between MatLab, Simulink and C or C++ languages makes it possible to increase the system simulation efficiency.
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Cekus, Dawid, Bogdan Posiadała, and Paweł Warys. "Integration of Modeling in Solidworks and Matlab/Simulink Environments." Archive of Mechanical Engineering 61, no. 1 (2014): 57–74. http://dx.doi.org/10.2478/meceng-2014-0003.

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Abstract In the paper, the authors present construction stages of simulation models worked out using SolidWorks and Matlab/Simulink environments. As examples of simulation models, a laboratory truck crane and a forest crane have been shown. These models allow for visualization of movements, tracking of the trajectory, velocity and acceleration of any point of the system.
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Pan, Yunping, and Wenxuan Huang. "Tire dynamics simulation based on MATLAB/Simulink." Journal of Physics: Conference Series 2787, no. 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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da Silva, A. C. R., and I. A. Grout. "MS2SV: Environment for translation of Matlab / Simulink models to VHDL-AMS models." IEEE Latin America Transactions 9, no. 5 (2011): 663–72. http://dx.doi.org/10.1109/tla.2011.6030974.

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6

Rattan, Dhavleesh, Rajesh Bhatia, and Maninder Singh. "An empirical study of clone detection in MATLAB/Simulink models." International Journal of Information and Communication Technology 13, no. 1 (2018): 20. http://dx.doi.org/10.1504/ijict.2018.090434.

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Singh, Maninder, Dhavleesh Rattan, and Rajesh Bhatia. "An empirical study of clone detection in MATLAB/Simulink models." International Journal of Information and Communication Technology 13, no. 1 (2018): 20. http://dx.doi.org/10.1504/ijict.2018.10010451.

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8

Ahmad, A., M. J. Al-Mushrafi, and S. Al-Busaidi. "Simulation of m-Sequence’s Properties Through MATLAB-SIMULINK." Sultan Qaboos University Journal for Science [SQUJS] 7, no. 1 (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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9

Zhao, Shuai, Rui Guo, Liang Xu, and Xue Li Guo. "Modeling and Simulation of the Automatic Transmission Assembly Using Matlab/Simulink." Applied Mechanics and Materials 291-294 (February 2013): 2287–90. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2287.

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This paper concentrates on modeling and simulation of the automatic transmission assembly using Matlab/Simulink. The entire simulink model includes four major models. They are the torque convertor and its lockup clutch model, the automatic transmission gearbox model, the equivalent spring model and the logical model respectively. After building the model, a comparison between this Simulink model and Carsim software is provided and the result curves matches very well, which proves that the Simulink model is accurate.
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M.S. Priyadarshini. "Generation of Power Quality Disturbances using MATLAB Simulink." South Asian Journal of Engineering and Technology 12, no. 4 (2022): 1–8. http://dx.doi.org/10.26524/sajet.2022.12.57.

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Proper operation of a power system depends upon the quality of power supplied to consumers. To have preventive measures and to design power quality monitoring equipment, it is necessary to have proper information about the signals. To design relevant equipment and compensation devices, the signals are to be generated. The objective of this paper is to generate power quality disturbances in MATLAB Simulink environment. The disturbances considered for analysis are voltage sag, swell, interruption, harmonics and transient. The aim of this paper is to present different signals which can be used for signal processing and to extract more information from the signals about the disturbance. The generated disturbance signals can be used to observe the effect of preventive action by analyzing the extent of disturbance reduction. The Simulink models can be used for modeling of corrective devices.
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M, Saran, Akash V, and Kishore G. "Modelling of PEM Fuel Cell using MATLAB Simulink." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2111–13. http://dx.doi.org/10.22214/ijraset.2023.52046.

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Abstract: In this project, we present a detailed modelling approach for a Proton Exchange Membrane (PEM) fuel cell using MATLAB Simulink. The paper provides a comprehensive analysis of the PEM fuel cell system, including the electrochemical reactions that occur within the fuel cell, the thermodynamics of the system, and the transport processes of the reactants and products. The model is based on a multi-phase approach and incorporates several sub-models for each component of the fuel cell system. The resulting model is validated using experimental data from literature, and the results show excellent agreement with the experimental data. The model is further used to investigate the effects of various parameters, such as gas flow rate, and cell voltage, on the fuel cell's efficiency. . The research's conclusions give important new information about the operation and optimisation of PEM fuel cells, and the suggested model can be utilised to build and improve PEM fuel cell systems.
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Arai, Masatoshi, Tohru Eguchi, Haruyuki Ishida, and Norihiko Yoshida. "Combination of MATLAB/Simulink Models and Code Libraries by Extended UML." Transactions of the Institute of Systems, Control and Information Engineers 30, no. 6 (2017): 228–37. http://dx.doi.org/10.5687/iscie.30.228.

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13

Zhan, Yuan, and John A. Clark. "A search-based framework for automatic testing of MATLAB/Simulink models." Journal of Systems and Software 81, no. 2 (2008): 262–85. http://dx.doi.org/10.1016/j.jss.2007.05.039.

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14

Mirsaitov, M., B. Abdurakhmanov, and I. Vikulov. "MODELING THE WEAR OF CONTACT STRIPS OF PANTOGRAPH USING THE MATLAB - SIMULINK TOOLS." Journal of Science and Innovative Development 4, no. 2 (2021): 77–84. http://dx.doi.org/10.36522/2181-9637-2021-2-9.

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The article presents a mathematical model of the wear of contact strips of pantograph which is destined to define a diagnostic parameter for determining pantograph of the freight electric locomotives in the Republic of Uzbekistan. Existing mathematical models of pantograph - contact network interactions are considered in the form of multidimensional models with reduced masses. The Matlab - Simulink tools can be used for solving the mathematical models. Computer programs for solving mathematical models enable efficient calculations at high accuracy. During the simulation, the current pantograph-contact network system was considered as a twodimensional model with two degrees of freedom. The simulation results helped determine the diagnostic parameter of the “vibration acceleration” of the contact strips. Finding a diagnostic parameter is based on vibrational movements of the pantograph skid interacting with the contact network.
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15

Kopp, Michael, and Andrii Kopp. "A New 6D Chaotic Generator: Computer Modelling and Circuit Design." International Journal of Engineering and Technology Innovation 12, no. 4 (2022): 288–307. http://dx.doi.org/10.46604/ijeti.2022.9601.

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The objective of this study aims at using the Matlab-Simulink environment and the LabVIEW software environment to build computer models of a six-dimensional (6D) chaotic dynamic system. For the fixed system’s parameters, the spectrum of Lyapunov exponents and the Kaplan-York dimension are calculated. The presence of two positive Lyapunov exponents demonstrates the hyperchaotic behavior of the system. The fractional Kaplan-York dimension indicates the fractal structure of strange attractors. An active control method is extended to achieve global chaotic synchronization of two identical novel 6D chaotic systems with unknown system parameters. Based on the results obtained in Matlab-Simulink and LabVIEW models, a chaotic signal generator for the 6D chaotic system is implemented in the MultiSim environment. The experimental results show that the chaotic behavior simulation in the MultiSim environment is similar to those in the Matlab-Simulink and LabVIEW models. The simulation results demonstrate that the Pecora-Carroll method is a simple way of chaotic masking and signal decoding.
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16

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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17

Vereshchago, Yevhen, and Vitalii Kostiuchenko. "Modeling of welding arc power supply diagrams in Matlab / Simulink." Electrical Engineering and Power Engineering, no. 3 (September 30, 2021): 8–20. http://dx.doi.org/10.15588/1607-6761-2021-3-1.

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Purpose. Creation of virtual blocks and simulation laboratory stands for the study and comprehensive research of the dynamic properties of welding power supplies. Methodology. Review of literary sources on the subject, simulation modeling of electromagnetic processes in the MATLAB software environment, comparative analysis of obtained and available data. Findings. The comparative analysis of means of modeling of power sources of a welding arc is executed. One of the main parameters by which the environments were compared is functionality. Among the considered simulators, Simulink of the MATLAB software environment is the most effective one in the considered systems modeling. Using special features, its user can not only simulate, but also analyze the operation of the over time installation. Mathematical and functional models of welding arc power supplies were built using SimPowerSystems elements and blocks from the Simulink library with the involvement of the MATLAB system itself, which significantly expands the possibilities for such systems modeling. Mathematization of certain processes to some extent shows the level of reliability of the results and the degree of their scientific development. The developed models act as a laboratory, which allows you to set and explore any modes and characteristics. Numerical experiments and comparative analysis of numerical and field experiments are given. Experimental verification of the obtained results on specific examples showed the relevance of the problem and the correctness of its solution. Further research is related to the expansion of the range of simulated power sources of the electric arc, a comprehensive study of their dynamic properties and basic characteristics, experimental verification of the developed models, as well as comparative analysis and development of recommendations for model improvement. Originality. The method of circuit modeling of general-purpose electrical and electronic circuits was further developed by extending it to a new class of objects - the power supply system of electrical installations. Practical value. Construction of mathematical and functional models of complex systems with the involvement of MATLAB allows to take into account their main features, significantly expands the possibilities for modeling, study and research of power supplies. Based on the proposed approach, simulation laboratory stands of specific power supplies were developed and built, which allow to set and study any modes and characteristics.
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Han, Kun, Xiao Yun Feng, Xin Yun Yu, and Cheng Lin Xiong. "The Modeling and Simulation of EGCS Based on Matlab/Simulink." Advanced Materials Research 383-390 (November 2011): 7356–61. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7356.

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This paper models EGCS based on the analysis of EGCS structure, and furthermore, writes modularized program utilizing Matlab C-mex language. The paper also sets up a simulation platform in the Matlab/Simulink simulation environment to perform the group control simulation of 4 20-floor elevators based on the minimal waiting time group control algorithm. With testing, the result of the testing shows that the research platform can satisfy the research requirement of the Elevator Control Strategy.
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Alia Jasim Mohammed. "AN APPRAISAL OF THE TRANSIENT RESPONSE OF A D.C. SHUMT MOTOR USING MATLAB/SIMULINK UNDER NO LOADING AND FULL LOADING CONDITIONS." Diyala Journal of Engineering Sciences 4, no. 2 (2011): 130–40. http://dx.doi.org/10.24237/djes.2011.04210.

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Electric machines are used to generate electrical power in power plants and provide mechanical work in industries. This paper describes the MATLAB/SIMULINK realization of the performance of a D.C. shunt motor and introduces model power components to use computer simulation as a tool for conducting transient by using Simulink and SimPower System. These simulation models were employed to calculate the speed (N), torque (T), armature current (Ia), input and output power (Pin and Pout), losses (Plosses) and efficiency (η) for the motor at no load and load conditions. The results obtained using MATLAB were compared with the practical results, the ratio of error is about (1-2) % was found. The SIMULINK was written in MATLAB languages version (6.5).
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Han, Cong, Pei Liu, and Tong Wang. "Study on Simulating Characteristic Parameters of PEMFC Using MATLAB/SIMULINK." Advanced Materials Research 588-589 (November 2012): 1230–33. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1230.

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A computer simulation program is presented for simulating the characteristic parameters of proton exchange membrane fuel cells (PEMFC) by using the MATLAB/SIMULINK and Visual Basic (VB). The simulation program is developed based on the empirical models for PEMFC. The simulation results show that the developed simulation program can be used as a useful tool for simulating the characteristic parameters of PEMFC.
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Nemes, Dániel, and Sándor Hajdu. "Flexibly Parameterizable Vehicle Dynamics Models." Designs 9, no. 2 (2025): 46. https://doi.org/10.3390/designs9020046.

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The following article presents the longitudinal modeling and simulation of a generic electric vehicle. The purpose of the research is to describe the applied modeling procedures and their MATLAB solutions. Furthermore, the goal is to demonstrate how to build a framework for a MATLAB R2024b Simulink and Simscape model that facilitates future optimization and ensures modularity, thereby facilitating collaboration among different research groups. After presenting the applied vehicle dynamics model and the created framework, some additional application examples are presented for which the method has already been tested.
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Grabusts, Peteris. "VISUALIZATION CAPABILITIES OF SIMULATION OF ECONOMIC PROCESSES." Latgale National Economy Research 1, no. 8 (2016): 20. http://dx.doi.org/10.17770/lner2016vol1.8.1479.

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Educational experience shows that during the research process researchers perceive graphical information better than analytical relationships. Many economic courses operate with models that were previously available only in mathematics and physics disciplines. As a possible solution, there could be the use of the package Matlab Simulink in the realization of different algorithms both for engineering disciplines and economic studies. The article substantiates the usefulness of implementing the simulation models during the early stage of the research, when in parallel to acquiring analytical relations, simulation models may be introduced. The aim of the article is to show Matlab Simulink suitability for the purpose of visualizing simulation models of various economic disciplines. To reach the aim, the following research tasks have been set: identification of Matlab Simulink possibilities for simulation of economic processes; demonstrate visualization models on the basis of examples; visualization of time series model using Latgale unemployment rate data. The article presents examples of using simulation modeling in the economic research processes - optimal tax rate searching and time series application. Common research methods are used in this research: descriptive research method, statistical method, mathematical modeling.
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Novash, I. V., F. A. Romaniuk, Yu V. Rumiantsev, and V. Yu Rumiantsev. "MATLAB-SIMULINK BASED INFORMATION SUPPORT FOR DIGITAL OVERCURRENT PROTECTION TEST SETS." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 60, no. 4 (2017): 291–308. http://dx.doi.org/10.21122/1029-7448-2017-60-4-291-308.

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The implementation of information support for PC-based and hardware-software based sets for digital overcurrent protection devices and their models testing using MatLab-Simulink environment is considered. It is demonstrated that the mathematical modeling of a part of the power system – viz. of the generalized electric power object – could be based on rigid and flexible models. Rigid models implemented on the basis of mathematical description of electrical and magnetic circuits of a power system can be considered as a reference model for the simulation results that have been obtained with the aid of another simulation system to be compared with. It is proposed to implement flexible models for generalized electric power object in the MatLabSimulink environment that includes the SimPowerSystems component library targeted to power system modeling. The features of the parameters calculation of the SimPowerSystems component library blocks that the power system model is formed of are considered. Out of the Simulink standard blocks the models of a wye-connected current transformers were composed as well as the digital overcurrent protection, missing in the component library. A comparison of simulation results of one and the same generalized electric power object implemented in various PC-based software packages was undertaken. The divergence of simulation results did not exceed 3 %; the latter allows us to recommend the MatLab-Simulink environment for information support creation for hardware-software based sets for digital overcurrent protection devices testing. The structure of the hardware-software based set for digital overcurrent protection device testing using the Omicron CMC 356 has been suggested. Time to trip comparison between the real digital protection device МР 801 and the model with the parameters which are exactly match the parameters of the prototype device was carried out using the identical test inputs. The results of the tests demonstrated a close coincidence of results (the divergence of not more than 8 %), that confirms the possibility of using the suggested hardware-software based test set during the development and debugging of new digital relay protection devices.
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Shumikhin, Andrey Yu, Roman V. Kirillov, and Regina T. Khazieva. "COMPUTER SIMULATION OF OPERATION OF SUBSTATION RELAY PROTECTION IN MATLAB SIMULINK PACKAGE." Electrical and data processing facilities and systems 20, no. 3 (2024): 67–79. http://dx.doi.org/10.17122/1999-5458-2024-20-3-67-79.

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Relevance Modern electric power systems require reliable and high-speed relay protection, which is necessary to prevent accidents and ensure stable operation of the power system. With the development of computer technology, it becomes possible to use modern software tools for modeling and analyzing the operation of relay protection. Matlab Simulink provides the necessary toolset that allows you to accurately simulate various types of relay protection and their interaction with other network components. Aim of research This article simulates the relay protection of a substation in order to further apply its results in the study of relay protection and automation of electric power systems, principles of operation and devices of relay protection of lines and other electrical installations. Research methods The essence of this work is to develop computer models of relay protection of substations based on Matlab/Simulink software. The models are tailored to the characteristics of certain electrical installations and include components that serve as power sources, switching elements, logic, control, measurement and comparison, the coordinated operation of which allows to achieve high selectivity, reliability and performance of relay protection. Results The results of the research conducted by the authors are aimed at obtaining functioning computer models of relay protection of electric grid facilities, which can be used to teach students how to model electrical installations, as well as analyze the processes occurring in electric networks in the event of accidents and abnormal modes. The simulation results obtained during the work are presented as graphs of three-phase voltages and currents that occur during short circuits in electrical installations.
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Faydhe Al-Azzawi, Zainab, Fatima Faydhe AL-Azzawi, and Sada Faydhe Al-Azzawi. "M-PSK System Performance in Multi-Channel Environments with MATLAB Simulink Models." Journal of Engineering and Applied Sciences 14, no. 20 (2019): 7509–16. http://dx.doi.org/10.36478/jeasci.2019.7509.7516.

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Kim, Taehoon, Sangmin Shin, Hyongmin Lee, et al. "MATLAB/Simulink Pulse-Echo Ultrasound System Simulator Based on Experimentally Validated Models." IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 63, no. 2 (2016): 290–302. http://dx.doi.org/10.1109/tuffc.2015.2508148.

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Schmidt, Artur, Umut Durak, and Thorsten Pawletta. "Model-based testing methodology using system entity structures for MATLAB/Simulink models." SIMULATION 92, no. 8 (2016): 729–46. http://dx.doi.org/10.1177/0037549716656791.

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Kazmierkowski, Marian. "High Performance Control of ac Drives with MATLAB/Simulink Models [Book News]." IEEE Industrial Electronics Magazine 6, no. 4 (2012): 68–69. http://dx.doi.org/10.1109/mie.2012.2222252.

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Kanwar, Khamma, and Dr Jayashri Vajpai. "Performance Evaluation of Different Models of PV Panel in MATLAB/ Simulink Environment." Applied Solar Energy 58, no. 1 (2022): 86–94. http://dx.doi.org/10.3103/s0003701x22010078.

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Novák, Petr, Fajar J. Ekaputra, and Stefan Biffl. "Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description." IFAC-PapersOnLine 50, no. 1 (2017): 7613–20. http://dx.doi.org/10.1016/j.ifacol.2017.08.1027.

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Apostolopoulos, Christos A., and George N. Korres. "Real-time implementation of digital relay models using MATLAB/SIMULINK and RTDS." European Transactions on Electrical Power 20, no. 3 (2010): 290–305. http://dx.doi.org/10.1002/etep.311.

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32

Zobaa, A. F., and T. A. Boghdady. "Integration into Undergraduate Courses of Transformer Tests Using MATLAB/Simulink." International Journal of Electrical Engineering & Education 44, no. 4 (2007): 319–32. http://dx.doi.org/10.7227/ijeee.44.4.3.

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This paper is concerned with determining the element parameters of the equivalent circuit model of the transformer. Short circuit, open circuit and load circuit tests will be applied to determine these parameters. The viability of the model can then be checked against the results of a load test. Efficiency and voltage regulation can then be determined from the data. These simulation models are developed to support and enhance electric machinery education at the undergraduate level.
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BELOV, N. V., and V. N. REPINSKY. "SIMULATION OF AN UNMANNED AIRCRAFT FLIGHT IN MATLAB SIMULINK." T-Comm 17, no. 6 (2023): 37–47. http://dx.doi.org/10.36724/2072-8735-2023-17-6-37-47.

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In this article, a simulation model of an unmanned aerial vehicle in Matlab Simulink has been developed. To build a simulation model, a mathematical description of the equations of motion of an aircraft (AC) is performed: kinematic and dynamic models with six degrees of freedom and twelve state variables, and a mathematical description of external forces acting on the aircraft is also performed. The simulation model includes several blocks that interact with each other to ensure the operation of the unmanned aerial vehicle: the air craft dynamics unit, which is responsible for simulating the movement of the aircraft in three dimensions, the autopilot unit, which simulates the operation of the aircraft navigation system and provides stabilization in the air, the control unit engines, which regulates the speed of rotation of the engines depending on the control signals, an external environment block that simulates the air environment in which the aircraft moves. The main advantage of the constructed model is the ability to change the parameters of the aircraft interactively and evaluate the main parameters using graphs. The correctness of the autopilot operation is confirmed by the graphs of transient processes along the three axes of the aircraft: roll, pitch, yaw. In the future, based on the constructed model, it is possible to create a fully automatic obstacle avoidance system that will allow the unmanned aerial vehicle to safely move from the start to the end point, taking into account all the obstacles in the flight path. Thus, the simulation model of an unmanned aerial vehicle based on Simulink makes it possible to evaluate the operation of the autopilot and other aircraft systems with high accuracy and detail. Its use can be useful in the design and testing of new unmanned aerial vehicles.
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34

Warner, Markus, Tobias Eichelmann, Rudolf Anselm, Sven Störtenbecker, and Peter Dalhoff. "Yaw control strategies for 20 MW multi-rotor systems." Journal of Physics: Conference Series 2626, no. 1 (2023): 012032. http://dx.doi.org/10.1088/1742-6596/2626/1/012032.

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Abstract In this paper, the control of an active yaw system for a 20 MW multi-rotor wind turbine system (MRS) is considered. The MRS under investigation consists of five 4 MW turbines in two rows, which are connected to the tower via a space frame. A central yaw bearing at the height of the lower rotors is provided for active yaw. The paper aims to show that active aerodynamic yaw is possible by changing the thrust of certain rotors and should be considered for further research in the field of yawing of an MRS. Two different simulation environments are used in the paper. The MRS is modeled and simulated in Matlab/Simulink. Simulink’s own control modules are used as controllers. In the other simulation approach, the same MRS is modeled and simulated in Bladed and controlled with an external controller based on C++. The use of Bladed and Matlab/Simulink enables the plausibility and verification of the results. Matlab/Simulink is faster based of its simpler models but Bladed is more sophisticated. This paper also briefly presents the state of the art for yaw systems and yaw control of conventional single rotor wind turbines and initial research literature on yaw control of MRS.
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35

Lee, Nayoung, Sungwook Ye, Rahman Jamil Ur, et al. "Method for Predicting Thermoelectric Module Efficiency Using MATLAB/Simulink." Korean Journal of Metals and Materials 59, no. 11 (2021): 829–37. http://dx.doi.org/10.3365/kjmm.2021.59.11.829.

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Development new high-performance thermoelectric materials for more efficient power generation systems and eco-friendly refrigerating systems has been challenging. Over the past few decades, thermoelectric studies have been focused on increasing the thermoelectric properties of materials. However, for conventional applications, developing of thermoelectric devices or modules with lower cost and simpler fabrication processes is also important. Simulation models that can predict the thermoelectric efficiency of modules using the thermoelectric properties of materials are needed for this purpose. In this study, we developed a simple model for calculating the efficiency of thermoelectric modules using MATLAB/Simulink. In this model, the temperature difference between the hot source and heat sink was fixed to ensure the precise comparisons of thermoelectric efficiency. The electric resistivity and Seebeck coefficient of thermoelectric materials was used in order to predict the efficiency of the thermoelectric modules. Then, the efficiency of the thermoelectric modules was verified using measured values which had been reported in prior experimental works. In this study, the simulated values were higher than the real thermoelectric effiency values. To address this, the simulations should consider the thermal resistance or electric contact resistance between the thermoelectric materials and electrodes.
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36

Davidovich, Nitza, Gregory Agranovich, Yuri Ribakov, and Ido Halperin. "MATLAB AND SIMULINK LABORATORY – A BASIS FOR LEARNING REAL CONTROL APPLICATIONS." Problems of Education in the 21st Century 35, no. 1 (2011): 36–45. http://dx.doi.org/10.33225/pec/11.35.36.

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A laboratory for teaching computer programming and engineering concepts related to control applications was recently established in the Department of Electrical Engineering and Electronics at the Ariel University Center of Samaria. The new laboratory provides hands-on experience in the design of control systems used in different fields of engineering. The lab offers an excellent introduction to programming concepts and research concepts that are often troublesome for the undergraduates. This paper describes the general approach and practical application of MATLAB and Simulink in the frame of a laboratory for teaching control. The main aim of the laboratory is to help students gain a deep understanding of typical problems in control applications. Students prepare codes in MATLAB and Simulink, based on knowledge acquired in a preliminary course on the theory of control. These codes are further used to investigate and design various control systems. In this way, control lab assignments with models of various physical processes are performed. Key words: control laboratory, control systems, MATLAB and Simulink, programming.
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37

Qian, Yu, Yi Cao, Yuan Wei Liu, and Hui Zhou. "Forward Kinematics Simulation Analysis of Slider-Crank Mechanism." Advanced Materials Research 308-310 (August 2011): 1855–59. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.1855.

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This paper mainly addressed the kinematics simulation of the Slider-Crank mechanism. After proposing a mathematical model for the forward displacement of the slider-crank mechanism, the mathematical models for the forward velocity and acceleration of the slider-crank mechanism are constructed, respectively and the simulation models for the forward kinematics of the slider-crank mechanism are constituted in the Matlab/Simulink simulation platform. Finally the forward kinematics simulation of the slider-crank mechanism was successfully accomplished based on Matlab/Simulink. Examples of the simulation for the forward kinematics of a slider-crank mechanism are given to demonstrate the above-mentioned theoretical results.
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38

Amel, Bensaid, Zebirate Soraya, and Chaker Abdelkader. "RT-lab based real-time simulation of flywheel energy storage system associated to a variable-speed wind generator." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (2021): 1094. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp1094-1101.

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This paper presents a new simulator used to distribute and execute real-time simulations: the RT-LAB, developed by opal-RT technologies (Montreal, Canada). One of its essential characteristics is the perfect integration with MATLAB/Simulink. The RT-LAB allows the conversion of Simulink models in real time via real-time workshop (RTW) and their execution on one or more processors. In this context, the paper focuses on the RT-LAB real-time simulation as a complement to the MATLAB/Simulink environment, which has been used to perform the simulation of the Flywheel energy storage system (FESS -variable speed wind generation (VSWG) assembly. The purpose of employing a fairly new real-time platform (RT-LAB OP -5600) is to reduce the test and prototype time. This application will be executed on each element of our model that was previously developed under MATLAB/Simulink. The real-time simulation results are observed in the workstation.
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39

Bensaid, Amel, Soraya Zebirate, and Abdelkader Chaker. "RT-LAB based real-time simulation of flywheel energy storage system associated to a variable-speed wind generator." International Journal of Power Electronics and Drive System (IJPEDS) 12, no. 2 (2021): 1094–101. https://doi.org/10.11591/ijpeds.v12.i2.pp1094-1101.

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This paper presents a new simulator used to distribute and executereal-time simulations: the RT-LAB, developed by Opal-RT Technologies (Montreal, Canada). One of its essential characteristics is the perfect integration with MATLAB/Simulink. The RT-LAB allows the conversion of Simulink models in real time via real-time workshop (RTW) and their execution on one or more processors. In this context, the paper focuses on the RT-LAB real-time simulation as a complement to the Matlab Simulink environment, which has been used to perform the simulation of the Flywheel energy storage system (FESS)-Variable speed wind generation (VSWG) assembly. The purpose of employing a fairly new real-time platform (RT-LAB OP-5600) is to reduce the test and prototype time. This application will be executed on each element of our model that was previously developed under MATLAB/Simulink. The real-time simulation results are observed in the workstation.
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40

Changoski, V., I. Gjurkov, and V. Jordanoska. "Improving vehicle dynamics employing individual and coordinated sliding mode control in vehicle stability, active front wheel steering and active rear wheel steering systems in co-simulation environment." IOP Conference Series: Materials Science and Engineering 1271, no. 1 (2022): 012026. http://dx.doi.org/10.1088/1757-899x/1271/1/012026.

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Abstract The goal for the future, safer and more sustainable transportation leads to implementation of many advanced systems in vehicles. In this paper, a vehicle model with stability control system that uses the braking system is regarded as a base active vehicle. Two alternative vehicle models are considered where this system is combined and integrated with active front wheel steering (AFS) and active rear wheel steering (ARS) system, separately. For the purpose of this research, 3D virtual vehicle models based on a B-segment vehicle were created in ADAMS/Car. As a research tool, a co-simulation approach between ADAMS/Car and MATLAB/Simulink was used. Several sliding mode controllers (SMC) have been proposed and implemented in MATLAB/Simulink in order to analyse the potential improvements of the vehicle dynamics due to the integration and coordination of these systems. In the same MATLAB/Simulink environment, a reference 2DOF nonlinear bicycle model was used. The vehicle models were simulated in driving scenarios based on standardized ISO 7401 test procedures. The scenarios include situations where the passive vehicle loses its stability or fails to complete the manoeuvre while the vehicles with stability control or integrated control systems successfully complete it.
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41

Shavelis, Rolands, and Kaspars Ozols. "Bluetooth Low Energy Wireless Sensor Network Library in MATLAB Simulink." Journal of Sensor and Actuator Networks 9, no. 3 (2020): 38. http://dx.doi.org/10.3390/jsan9030038.

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The paper describes the elements of the developed MATLAB Simulink library for building the models of Bluetooth Low Energy (BLE) wireless sensor networks to simulate the communication between BLE devices in the presence of interference and channel noise. Various parameters can be configured for the devices including their 2D positions to take into account the distances between them for calculating the attenuation coefficients of the transmitted signals. Two simulation examples are provided, one of which demonstrates the data exchange between one master device and one slave at high data packet transmission rate (2 kHz), while the other example shows the data exchange between one master and multiple slaves simultaneously, in which case the data packet transmission rate can be no larger than 133 Hz.
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42

Xu, Rui, Mingge Wu, Yunde Shen, Zhenmu Chen, Haiyan Yin, and Hantao Zou. "Joint Simulation Study of Glass Greenhouse Roof Cleaning Machine Based on Adams and Matlab." Journal of Physics: Conference Series 2558, no. 1 (2023): 012017. http://dx.doi.org/10.1088/1742-6596/2558/1/012017.

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Abstract The glass greenhouse roof cleaning machine is driven by dual motors, and there are problems with machine deflection and inconsistent speed of the two wheels during operation, to solve these problems, a joint simulation method based on Adams and Matlab is used in this project. Firstly, build detailed 3D models using SolidWorks software and Adams software, and set the necessary constraints and material properties for the models; then, the control system is modeled with Fuzzy-Proportion Integration Differentiation (PID) control algorithm in Matlab/Simulink module; finally, a joint simulation was performed using Adams software and Matlab/Simulink software. Through the analysis of the results of the joint simulation, the problem of inconsistent deflection and the two-wheel speed of the machine is optimized after the introduction of the Fuzzy-PID controller.
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43

Jovanovic, Igor, Ugljesa Jovanovic, and Dragan Mancic. "A Matlab/Simulink 3D model of unsymmetrical ultrasonic sandwich transducers." Serbian Journal of Electrical Engineering 15, no. 1 (2018): 41–52. http://dx.doi.org/10.2298/sjee1801041j.

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Ultrasonic sandwich transducer is a half-wave resonant structure which oscillates in thickness direction. This paper presents a new Matlab/ Simulink model of a prestressed unsymmetrical ultrasonic sandwich transducer, which is modeled by applying three-dimensional (3D) Matlab/Simulink models of piezoceramic rings and metal endings derived from the piezoceramic ring model. With the cascade connection of the piezoceramic rings model with metal endings model, a complete model of ultrasonic transducer is obtained. Using this model one may determine any transducer transfer function, whereat is taken into the account the external medium influence, as well as the influence of the thickness and radial modes of each transducer component. The electromechanical equivalent circuit of the hammer transducer, which represents onedimensional (1D) model, is also derived and presented in this paper. The comparisons between experimental and theoretical results are quite good and validate the new analytical 3D design approach.
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44

Saralegui, Roberto, Alberto Sanchez, and Angel de Castro. "Efficient Hardware-in-the-Loop Models Using Automatic Code Generation with MATLAB/Simulink." Electronics 12, no. 13 (2023): 2786. http://dx.doi.org/10.3390/electronics12132786.

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Hardware-in-the-loop testing is usually a part of the design cycle of control systems. Efficient and fast models can be created in a Hardware Description Language (HDL), which is implemented in a Field-Programmable Gate Array (FPGA). Control engineers are more skilled in higher-level approaches. HDL models derived automatically from schematics have noticeably lower performance, while HDL models derived from their equations are faster and smaller. However, even models translated automatically into HDL using the equations might be worse than manually coded models. A design workflow is proposed to achieve manual-like performance with automatic tools. It consists of the identification of similar operations, forcing signal signedness, and adjusting to multiplier input sizes. A detailed comparison was performed between three workflows: (1) translation of high-level MATLAB code, (2) translation of a Simulink model, and (3) working directly in the HDL. Sources of inefficiency were shown in a buck converter, and the process was validated in a full-bridge with electrical losses using a Runge–Kutta method. The results showed that the proposed approach delivered code that performed very close to a reference VHDL implementation, even for complex designs. Finally, the model was implemented in an off-the-shelf FPGA board suitable for a hardware-in-the-loop test setup.
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45

Rahmatullah, Rohullah, Necibe Fusun Oyman Serteller, and Vedat Topuz. "Modeling and Simulation of Faulty Induction Motor in DQ Reference Frame Using MATLAB/SIMULINK with MATLAB/GUIDE for Educational Purpose." International Journal of Education and Information Technologies 17 (March 13, 2023): 7–20. http://dx.doi.org/10.46300/9109.2023.17.2.

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Owing to their robust structure, induction motors are preferred to be used under difficult working conditions. Therefore, various faults may occur in the motor due to unexpected forces during the operations. Obtaining the data through experimental methods by physically creating faults in the induction motors, and analyzing their behavior is not efficient in terms of cost and time for educational purposes. Considering the above negative situation, in this paper, mathematical models have been developed in the dq0 stationary reference frame expressing three-phase stator windings short-circuit fault and broken rotor bar fault in induction motors. The proposed models are faster as compared to the other analytical models in terms of computation due to the rotor position independence of the inductance matrix. The faulty induction motor mathematical models have been implemented in the MATLAB/SIMULINK software environment with detailed explanations of each faulty model’s subsystem. As a visual laboratory that can be used as an educational tool for the analysis of a three-phase faulty induction motor, a graphical user interface application has been developed in MATLAB/GUIDE, which allows users to simulate models from a single interface. As a case study, the behaviors of faulty induction motors in transient and steady states have been simulated in different severity scenarios of the faults. The park vector method has been used as a fault diagnosis approach to investigate fault types and the fault severity effects on the park vector pattern in each fault scenario. In addition, to observe the success of the developed Simulink toolboxes, they were used at Marmara University through courses in electrical machinery and evaluated by the graduated students at the end of the semester.
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46

Kuan, Tze Mei, Suhaila Sulaiman, Azrul Mohd Ariffin, and Wan Mohamad Shakir Wan Shamsuddin. "Verification of MATLAB/Simulink Power Cable Modelling with Experimental Analysis." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 622. http://dx.doi.org/10.11591/ijeecs.v11.i2.pp622-629.

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Cross-linked polyethylene (XLPE) power cable is commonly used as the medium for transmitting power supply in the power system network. However, frequent exposure of XLPE cable to the high voltage causes its insulation to degrade over time leading to electricity outages. Degradation of cable can be prevented if regular maintenance is performed using the accurate assessment method. This study models and simulates a cable system comprising of three cable sections connected by two un-degraded cable joints. This model aims to assess defect along the tested cable with the application of time domain reflectometry (TDR) technique. A series of simulations are conducted by varying the cable insulation condition to study its influence on the cable joint reflection. These simulation results from MATLAB/Simulink are validated against the actual TDR experimental results. The identical results shown between the simulation and experimental results indicate that the cable model is valid and can be used to assess the condition of a cable.
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47

Tze, Mei Kuan, Sulaiman Suhaila, Mohd. Ariffin Azrul, and Mohamad Shakir Wan Shamsuddin Wan. "Verification of MATLAB/Simulink Power Cable Modelling with Experimental Analysis." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 622–29. https://doi.org/10.11591/ijeecs.v11.i2.pp622-629.

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Cross-linked polyethylene (XLPE) power cable is commonly used as the medium for transmitting power supply in the power system network. However, frequent exposure of XLPE cable to the high voltage causes its insulation to degrade over time leading to electricity outages. Degradation of cable can be prevented if regular maintenance is performed using the accurate assessment method. This study models and simulates a cable system comprising of three cable sections connected by two un-degraded cable joints. This model aims to assess defect along the tested cable with the application of time domain reflectometry (TDR) technique. A series of simulations are conducted by varying the cable insulation condition to study its influence on the cable joint reflection. These simulation results from MATLAB/Simulink are validated against the actual TDR experimental results. The identical results shown between the simulation and experimental results indicate that the cable model is valid and can be used to assess the condition of a cable.
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48

Onay, Aytun. "Optimization of lipid content of Nannochloropsis gaditana via quadratic models using Matlab Simulink." Energy Reports 6 (December 2020): 128–33. http://dx.doi.org/10.1016/j.egyr.2020.11.083.

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49

Alitasb, Girma Kassa. "Assessment of Fractional and Integer Order Models of Induction Motor Using MATLAB/Simulink." Modelling and Simulation in Engineering 2024 (April 12, 2024): 1–11. http://dx.doi.org/10.1155/2024/2739649.

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The definition of derivatives and integrals of any real or complex order can be found in fractional calculus, which is an extension of ordinary calculus. Many real-world processes might be more accurately modeled by these fractional calculi. Flexibility and nonlocality are the two fundamental benefits of fractional derivatives. These derivatives, which are of fractional order, are more flexible than classical derivatives in how they might approach real data. Due to its applications in numerous domains, the fractional order model has grown in significance and popularity. The simulation results have been performed for three squirrel cage induction motors which have different parameter values. To perform fractional order calculus, the Fractional Order Modeling and Control (FOMCOM) toolbox has been added to MATLAB. To determine the value of the order of differentiation (α) that best represents the induction motor, speed and torque simulations for several orders of differentiation (α) were performed. According to the results of the speed and torque simulation, an integer order (α=1) model is the optimal representation of the induction motor. The main goal of this paper is to investigate which model, either integer or fractional order model, best represents an induction motor.
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50

Steinsland, Vegard, Lasse Hugo Sivertsen, Emil Cimpan, and Shujun Zhang. "A New Approach to Include Complex Grounding System in Lightning Transient Studies and EMI Evaluations." Energies 12, no. 16 (2019): 3142. http://dx.doi.org/10.3390/en12163142.

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A new approach to lightning transient studies including complex grounding grids is presented in this paper. The grounding system is modeled in Matlab/Simulink based on the transmission line theory. Using a bottom-up approach and considering the properties of the fundamental elements, a detailed view of measurement values will be presented and analyzed. The Matlab/Simulink grounding system models are interfaced for co-simulation with EMTP-RV trough acr:FMI 2.0. This modeling approach allows the use of the full component library and network design by EMTP-RV to evaluate and analyze the effects of the grounding system and transmission network simultaneously in Matlab/Simulink. The results present a simplified transmission system where a surge is injected, acr:CIGRE 1 kA 1.2/50, in far-end of a transmission line. When reaching a substation, the surge is injected into the grounding system through a surge arrester.
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