Journal articles: 'Matlab Simulation'

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Elmajdub, Naser. "Aircraft Takeoff Simulation with MATLAB." IOSR Journal of Electrical and Electronics Engineering 7, no. 1 (2013): 28–34. http://dx.doi.org/10.9790/1676-0712834.

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Selvarani, P., and N. Malarvizhi. "Multibiometric authentication with MATLAB simulation." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 47. http://dx.doi.org/10.14419/ijet.v7i1.7.9389.

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Multimodal Biometric Authentication has been used as more security purpose for establishing the user Identification, Authentication and Verification purpose. Multimodal Biometric like Fingerprint and iris are used in this research work for authentication purpose using Matlab simulation. Fingerprint recognition process like Image Enhancement, binarization, Segmentation, thinning, Minutia marking, and Matching are performed with various techniques like Histogram Equalization, Adaptive Binarization, Morphological operations, Minutiae based techniques etc.,Iris recognition process like Segmentation, Normalization, Encoding and Matching are performed with various techniques like Canny edge detection, Daughman’s Rubber sheet model, Hamming Distance etc., can be applied for Fingerprint and iris recognition for authentication purpose. Finally Performance the measure of Precision, Recall, F-Score and Accuracy has evaluated in both fingerprint and iris. It can be concluded Iris Accuracy is higher 0.96% compared with fingerprint accuracy 0.81%.

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Jan, Shau-Shiun, Wyant Chan, and Todd Walter. "MATLAB Algorithm Availability Simulation Tool." GPS Solutions 13, no. 4 (February 18, 2009): 327–32. http://dx.doi.org/10.1007/s10291-009-0117-4.

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Yadav, Rahul. "Finite Element Analysis using MATLAB." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (January 31, 2022): 764–69. http://dx.doi.org/10.22214/ijraset.2022.39902.

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Abstract: Finite Element Analysis or FEA is the simulation of a physical phenomenon using a numerical mathematic technique referred to as the Finite Element Method or FEM. This process is at the core of mechanical engineering, as well as a variety of other disciplines. It also is one of the key principles used in the development of simulation software. Engineers can use these FEM to reduce the number of physical prototypes and run virtual experiments to optimize their designs. Finite Element Analysis is used in various fields like structural, fluid flow, heat transfer to estimate the behavior of a component in real environment. There now exists growing body of knowledge connected with the development of mathematical models and numerical simulations of physical model. There are various software packages like Ansys, OptiStruct, COMSOL, Solidworks and many more which provide a close estimate in simulation models. Apart from these software MATLAB also has a Partial Differential Equation (PDE) toolbox which enables us to perform these simulations using some built-in functions and codes. However, a computational numerical technique is not an end of design rather it just provides a great estimate of the final component for which the results are only as good as the input provided and the final component in most of the cases require a physical testing in environment which it is meant to perform as a validation. Keywords: Brake pedal, MATLAB, Partial differential equation (PDE) toolbox, Tetrahedral mesh.

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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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Kuchhal, Shikha. "Simulation of the Burst Error Correction using Matlab." International Journal of Scientific Research 2, no. 9 (June 1, 2012): 162–65. http://dx.doi.org/10.15373/22778179/sep2013/58.

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Dudwadka, Asawari, and Dr Y. S. Rao Dr. Y. S. Rao. "MATLAB Simulation of Inverters for Induction Heating System." International Journal of Scientific Research 2, no. 6 (June 1, 2012): 152–55. http://dx.doi.org/10.15373/22778179/june2013/49.

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Rigkova, E. "Simulation of control systems using MATLAB." Журнал технических исследований 2, no. 2 (April 25, 2016): 4. http://dx.doi.org/10.12737/19441.

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Veettikazhy, Madhu, Anders Kragh Hansen, Dominik Marti, Stefan Mark Jensen, Anja Lykke Borre, Esben Ravn Andresen, Kishan Dholakia, and Peter Eskil Andersen. "BPM-Matlab: an open-source optical propagation simulation tool in MATLAB." Optics Express 29, no. 8 (March 31, 2021): 11819. http://dx.doi.org/10.1364/oe.420493.

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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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Hroncová, Darina. "MULTIBODY SYSTEMS AND SIMULATION IN MATLAB." TECHNICAL SCIENCES AND TECHNOLOG IES, no. 4 (14) (2018): 84–94. http://dx.doi.org/10.25140/2411-5363-2018-4(14)-84-94.

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Urgency of the research. Computer modeling changes the teaching methodology, the way of thinking and the possibilities of applications. It helps to move from external to internal properties and from individual to related properties. The development of the product is accelerated by experimenting with a computer model. Target setting. Kinematic analysis in Matlab and MSC Adams View. The aim is to investigate the rotation of individual members of the robotic system and to determine the spatial movement of the end effector. Actual scientific researches and issues analysis. MSC Adams represents dynamic simulators of virtual prototypes of mechanical systems. Virtual prototypes allow to model, analyze and optimize the future products and to examine their properties before building a real prototype. This approach is suitable for developing miniature mechatronic elements as well as complex systems. Uninvestigated parts of general matters defining. Virtual prototypes represent a suitable resource for testing of control and regulation procedures. The research objective. Compilation of a virtual prototype of a mechanical system that has all the decisive features and is computationally stable. The statement of basic materials. Virtual model is a mathematical representation of real-world structures, simulating all its physical properties virtually. Conclusions. The aim was to determine the kinematic properties and also to evaluate the influence of the parameters of the mechanism which influence these kinematic properties. The matrix method was used. The process of the solution consisted of determining the transformation matrices of the coordinate systems, the kinematic analysis of the industrial robot and the graphical representation of the effector handling space.

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Chalawadi, Vishwanath, and Sanjeeth P. Amminabhavi. "Matlab Simulation for Power Factor Correction." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2788–92. http://dx.doi.org/10.22214/ijraset.2022.41905.

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Abstract: Lower in Power Factor of electrical equipments will draws high current from supply power. The effect of this is affected by impedance of electrical equipment. Therefore, the main consideration of this study is how impedance of electrical equipment affects the power factor of electrical loads, and then distributed power as the whole. This study is important to verify the right action to increase low power factor effectively for electrical energy efficiency concern.

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Nilsson, Bernt, Per Borgqvist, Anders Axelsson, and Guido Zacchi. "Simulation of chromatographic processes using MATLAB." Computers & Chemical Engineering 23 (June 1999): S715—S718. http://dx.doi.org/10.1016/s0098-1354(99)80175-6.

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Degtyarev, S. V., O. V. Shatalova, A. F. Rybochkin, and A. A. Kuzmin. "Simulation of Bioimpedance Analysis in MATLAB." Biomedical Engineering 47, no. 4 (November 2013): 202–4. http://dx.doi.org/10.1007/s10527-013-9371-4.

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Memon, Farida, Aamir Hussain Memon, Shahnawaz Talpur, Fayaz Ahmed Memon, and Rafia Naz Memon. "Design and Co-Simulation of Depth Estimation Using Simulink HDL Coder and Modelsim." July 2016 35, no. 3 (July 1, 2016): 473–82. http://dx.doi.org/10.22581/muet1982.1603.17.

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In this paper a novel VHDL design procedure of depth estimation algorithm using HDL (Hardware Description Language) Coder is presented. A framework is developed that takes depth estimation algorithm described in MATLAB as input and generates VHDL code, which dramatically decreases the time required to implement an application on FPGAs (Field Programmable Gate Arrays). In the first phase, design is carriedout in MATLAB. Using HDL Coder, MATLAB floating- point design is converted to an efficient fixed-point design and generated VHDL Code and test-bench from fixed point MATLAB code. Further, the generated VHDL code of design is verified with co-simulation using Mentor Graphic ModelSim10.3d software. Simulation results are presented which indicate that VHDL simulations match with the MATLAB simulations and confirm the efficiency of presented methodology.

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Pająk, I. "The Matlab Toolbox for Modeling Complex Mechanisms." International Journal of Applied Mechanics and Engineering 19, no. 2 (May 1, 2014): 285–301. http://dx.doi.org/10.2478/ijame-2014-0019.

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Abstract In the paper, a new version of the Matlab toolbox for modeling and simulation of any mechanisms consisting of open kinematic chains is presented. This tool renders it possible to define any manipulator described by Denavit-Hartenberg parameters and then connect the mechanisms created in this way into one complex mechanism. The package can be used for a realistic visualization of robot motion necessary in research, didactic process or during design of a production cell. Available functions render it possible to show a realistic model of a mechanism based on both default and user defined appearance. The toolbox also provides a set of tools for performing simultaneous simulations of many robots and other objects in their workspace. An example illustrating new features of the toolbox, presenting modeling and motion simulating of human upper limb is also attached.

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Lin, Xiaoyu, and Yingxu Wang. "Simulation and Visualization of Concept Algebra in MATLAB." International Journal of Software Science and Computational Intelligence 6, no. 1 (January 2014): 30–55. http://dx.doi.org/10.4018/ijssci.2014010103.

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Concept algebra (CA) is a denotational mathematics for formal knowledge manipulation and natural language processing. In order to explicitly demonstrate the mathematical models of formal concepts and their algebraic operations in CA, a simulation and visualization software is developed in the MATLAB environment known as the Visual Simulator of Concept Algebra (VSCA). This paper presents the design and implementation of VSCA and the theories underpinning its development. Visual simulations for the sets of reproductive and compositional operations of CA are demonstrated by real-world examples throughout the elaborations of CA and VSCA.

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Ganvir, Payal, and Radharaman Shaha. "Grid Connected Solar Photovoltaic Array with MPPT Matlab Simulation." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 484–87. http://dx.doi.org/10.31142/ijtsrd23832.

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Pamungkas, Wahyu, Anggun Fitrian Isnawati, and Adi Kurniawan. "Modulasi Digital Menggunakan Matlab." JURNAL INFOTEL - Informatika Telekomunikasi Elektronika 4, no. 2 (November 10, 2012): 1. http://dx.doi.org/10.20895/infotel.v4i2.102.

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In telecommunication systems, the determination of the modulation system is an important method in the process of sending information from transmitter to receiver. In the simulation that is done using QPSK modulation system (Quadrature Phase Shift Keying), 8-QAM (Quadrature Amplitude Modulation), 16-QAM (16-Quadrature Amplitude Modulation) that uses AWGN (Additive White Gaussian Noise) channel in the transmission system uses MATLAB software. The execution of the simulation is aimed to describe how the characteristics of the waveform of each block of the modulator, to add noise in the AWGN channel and demodulator. Performance of modulation system testing is used BER (bit error ratio) method. Looking of the faults of comparison bits results of before and after the transmitted bits by using Monte Carlo simulation model. Testing on this simulation using the input data as much as 10.000 data symbols randomly and the level of Eb/No that is various for each modulation used. Performance results BER with the level of Eb / No at 1 dB of the simulated system modulation on the BER values obtained for QPSK 0.0570, 8-QAM at 0.1085 while the 16-QAM at 0.1582 and then the performance of QPSK modulation is the best. If the Eb / No is increased to 8 dB then the becomes BER QPSK smaller modulation is equal to 0.00035, the 8-QAM BER obtained at 0.0076, while the 16-QAM modulation to be 0.0139

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Abdullah, Fatin Nabeel, Ghada Adel Aziz, and Salam Waley Shneen. "Simulation Model of Servo Motor by Using Matlab." Journal of Robotics and Control (JRC) 3, no. 2 (February 5, 2022): 176–79. http://dx.doi.org/10.18196/jrc.v3i2.13959.

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The research aims to develop documented empirical data to obtain a high-accuracy and effective system according to a principal system as a model that represents the system for all expected cases and different working conditions. The current works are simulating a servo motor that works with specifications as a mathematical representation of it down to its representation with a transformation function. The simulation is done for different cases, the first is without a controller, and the other is an operation simulation with a conventional controller that is with a PID controller. The results, through response and accuracy, prove the preference of PID controller systems in the speed of response and high accuracy with the change or different conditions of the system, i.e., working with linear systems. A simulation is being conducted to verify the use of control systems to improve the performance of servo motors. Algorithms of control systems are developed according to designs based on prior experience. Speed and position control are the most common and used in many applications, which created the need to choose them. To overcome fluctuations and obtain a quick response and a high-precision system used, control systems, as the results proved. The research contribution is developing a design for the user control systems also checking them in simulation with the servo motor system using MATLAB. They test them in the servo motor control as well to test their performance experimentally.

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Nemes, Dániel, and Sándor Hajdu. "Simulation of BLDC Motor Drive Systems for Electric Vehicles Using Matlab Simulink." International Journal of Engineering and Management Sciences 8, no. 1 (April 30, 2023): 48–52. http://dx.doi.org/10.21791/ijems.2023.1.6.

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The defining scientific developments of our time would not have been possible without the use of simulations. The aim of the research is to create a simulation of a BLDC motor. When creating a simulation, great emphasis must be placed on defining the purpose of the simulation. This basically determines the structure and complexity of the model. The model discussed here was created so that an optimization task could be defined more precisely by inserting it as a sub-model into a vehicle dynamics model. Scalability was another aspect, that is, to be able to increase the accuracy of the model with measured data in the future, as well as to be able to validate it. During the research, a BLDC motor efficiency map generation program was created, as well as an environment for testing the generated data. The created system gives researchers the opportunity to use a shape-correct efficiency model when simulating a BLDC motor even without measured data. This makes it possible to discover real relationships between model parameters when performing optimization.

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Okyere, Samuel, Joseph Ackora-Prah, Ebenezer Bonyah, and Samuel Akwasi Adarkwa. "Numerical Scheme for Compartmental Models: New Matlab Software Codes for Numerical Simulation." F1000Research 12 (April 26, 2023): 445. http://dx.doi.org/10.12688/f1000research.130458.1.

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Background: This paper presents a newly developed Matlab code for the numeri- cal simulation of compartmental/deterministic models. It addresses modeling and simulation issues concerning compartmental models. The code is easy to under- stand and edit for the simulation of compartmental models. An alternative codes for statistical software package R has been proposed for the same model. R software is freely available for use. Methods: We proposed a basic SEIR model for illustration purposes. Matlab and R software codes are developed for the SEIR model which users can follow and easily understand the computations. Results: The two codes work on all Matlab and R versions. For models with more compartments, we suggest using higher version of Matlab and R. Matlab works on windows, Mac and Linux Conclusions: New Matlab software codes purposely for numerical simulations of classical deterministic models which can run on any version of Matlab has been introduced in this paper. This code can be edited/modify to suit any deterministic models and any desired output required. An alternative open source free version has been written in R has been provided as well

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Chen, JinBo, and WenYu Hu. "MATLAB Simulation Research on Static Var Compensator." E3S Web of Conferences 256 (2021): 01022. http://dx.doi.org/10.1051/e3sconf/202125601022.

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TCR-TSC static reactive power compensator (SVC) is the most widely used in the field of power system reactive power compensation. This type of reactive power compensator can not only compensate the reactive power required in the power system, but also handle the over-compensation problem well. This paper will establish a MATLAB simulation model to simulate the TCR-TSC SVC, focusing on the dynamic reactive power compensation characteristics of the TCR-TSC SVC in suppressing voltage fluctuations. The simulation results show that the TCR-TSC SVC has a better dynamic reactive power compensation effect.

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HOTSKINA, V. B. "MATLAB PACKAGE USAGE FOR BUILDING SIMULATION MODEL." Computer Science, Information Technology, Automation 3, no. 1 (March 1, 2017): 4–11. http://dx.doi.org/10.31721/2414-9055.2017.3.1.4.

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Sharma, Adeesh, and Himmat Singh. "MATLAB SIMULATION OF D-STATCOM USING SVPWM." International Journal of Engineering Technologies and Management Research 5, no. 5 (February 27, 2020): 184–95. http://dx.doi.org/10.29121/ijetmr.v5.i5.2018.240.

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In this paper, A Distribution Static Synchronous Compensator (D-STATCOM) is used for improving the power factor, power quality and to control power flow control in the distribution line. It used to give reactive and active power compensation in the distribution line. The power depends on the power factor of the loads connected to the transmission line. In this paper we have used a new DSTATCOM using modified SVPWM technique. The previous DSTATCOM are basically controlled by PWM, or SPWM technique which produce high harmonics distortion but using SVPWM technique distortion reduces to maximum possible level. In our system we also have examined the losses due to DSTATCOM when connected in the distribution system. To decrease the reactive power and to minimize the undesirable load to require maintains the flow of reactive power. As a result, the power a factor of the load descant, leading to the limitation of the active power flow in the line. The D-STATCOM is a power electronics based on advanced device can be used to control power flow in the distribution line. The construction of system is able to recover the drop-in bus voltage when any loading effect arises, but due to 5th harmonic performance of DSTATCOM reduces somewhere.

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Mahmoud, Soliman, Mejd Alsari, Esra Reda, and Ruqiya Alhammadi. "MATLAB Modeling and Simulation of Photovoltaic Modules." Advanced Materials Research 512-515 (May 2012): 246–49. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.246.

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In this paper a modeling method is investigated that finds the non-linear equation parameters of a photovoltaic (PV) module in order to obtain the desired PV model using any circuit simulator. This modeling method adjusts the I-V curve at three remarkable points: the open circuit voltage, the short circuit current, and the maximum power point [1]. Three models are realized using this technique namely, the single-diode model, the two-diode model, and the three-diode model. The evaluation study of the accuracy of these three models showed relative errors ranging from 32% to 50%. Further, this technique is improved by adjusting the I-V curve at more than three points depending on the number of unknowns to be found for each model, which showed a reduction in the relative error ranging from 0.37% to 38%.

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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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Wankhade, Aniket Vinod. "Simulation for Battery Electric Vehicle using MATLAB." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 2100–2103. http://dx.doi.org/10.22214/ijraset.2021.35446.

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Electric cars (EVs) are probable to be an opportunity power mode of transportation for the destiny because it has shown a wonderful capability to lessen the intake of petroleum based and different excessive CO2 emitting transportations fuels. on this look at, the additives of the BEVs device had been mentioned and a version of BEV at the MATLAB-Simulink platform was simulated. Furthermore, the applicable electric system additives in addition to its corresponding equations for verification had been recognized. moreover, all simulation effects were taken into consideration. This look at affords a basis for added researches.

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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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Sun, Xu Dong, and Yong Bin Leng. "MATLAB Simulation of DBPM Digital Down Conversion." Applied Mechanics and Materials 333-335 (July 2013): 680–83. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.680.

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A software defined radio architecture algorithm is applied to Digital BPM processor for its signal processing. The algorithm is evaluated in MATLAB with data acquired from the instrument with a commercial signal source as input.The data flow diagram of the algorithm is shown and explained, critical parameters of the filters are displayed and the results are shown which testify the feasibility of the method.

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Constantin, Victor, Rizescu Dana, and Ciprian Rizescu. "Colour based sorting station with Matlab simulation." MATEC Web of Conferences 121 (2017): 08004. http://dx.doi.org/10.1051/matecconf/201712108004.

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Krsmanovic, Milan. "MATLAB software application for power transmission simulation." Vojnotehnicki glasnik, no. 1 (2008): 50–63. http://dx.doi.org/10.5937/vojtehg0801050k.

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Shi, Jiahe, Jiaxin Shen, Haojie Wang, Yilin Chen, Hongliang Xiao, and Xueru Li. "Matlab Simulation of Electromagnetic Waves Propagation Characteristics." IOP Conference Series: Materials Science and Engineering 688 (December 6, 2019): 033011. http://dx.doi.org/10.1088/1757-899x/688/3/033011.

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Muller, Antoine, Charles Pontonnier, Pierre Puchaud, and Georges Dumont. "CusToM: a Matlab toolbox for musculoskeletal simulation." Journal of Open Source Software 4, no. 33 (January 21, 2019): 927. http://dx.doi.org/10.21105/joss.00927.

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Shao, Chang Kun. "Image Mosaic Technology Based on Matlab Simulation." Applied Mechanics and Materials 556-562 (May 2014): 4990–93. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4990.

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This paper uses multivariate planning mathematical model to establish sports tourism planning system, and introduces multiple matrix theory, extracts four characteristic values of the tourist traffic, service, security and environment, realizes the multivariate planning of tourism system. This paper uses the MATLAB software to do numerical simulation on proportion and the expected rate of return for the four characteristic values in planning, we get the multivariate distribution nephogram and rendering nephogram, finally use image mosaic technique of MATLAB to synthetize green planning blueprint of sports tourism. It provides the technical reference for the research on city sports tourism planning.

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Sheebha Jyothi, G., and Y. Bhaskar Rao. "Simulation of Fuel Cell Technology Using Matlab." International Journal of Engineering & Technology 7, no. 3.27 (August 15, 2018): 80. http://dx.doi.org/10.14419/ijet.v7i3.27.17660.

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This paper represents a mathematical model for proton exchange membrane fuel cell(PEMFC)system. Proton exchange membrane fuel cell (also called polymer Electrolyte Membrane fuel cells(PEM)) provides a continuous electrical energy supply from fuel at high levels of efficiency and power density. PEMs provide a solid, corrosion free electrolyte, a low running temperature, and fast response to power.

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A. Al Habobi, Naseer, and Shahad F. Abed. "Simulation of Cathodic Protection System Using Matlab." Iraqi Journal of Chemical and Petroleum Engineering 14, no. 1 (March 30, 2013): 25–37. http://dx.doi.org/10.31699/ijcpe.2013.1.3.

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Iraq has a huge network of pipelines, transport crude oil and final hydrocarbon products as well as portable water. These networks are exposed to extensive damage due to the underground corrosion processes unless suitable protection techniques are used. In this paper we collect the information of cathodic protection for pipeline in practical fields (Oil Group in Al Doura), to obtain data base to understand and optimize the design which is made by simulation for the environmental factors and cathodic protection variables also soil resistivity using wenner four terminal methods for survey sites; and soil pH investigations were recorded for these selected fields were within 7-8, and recording the anodes voltage and its related currents for the protection of underground pipelines.Modeling enables the designer to build cathodic protection for buried structure and predicting the places of anodes sites and its operating voltages and currents under various operational conditions, and comparing it with those in practices. In this work we compared between the field and simulation results which include, anode numbers, rectifier voltage, rectifier current and anode resistance. The most economical design for the first pipeline was at station no. 2 which need 2.5 A for protection of the pipeline for that specific length and for second pipeline station no. 4 which need 12 A for protection of the pipeline for that specific length.

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Yan, Tian Yun, Kai Kuo Xu, Wei Wei, and Hong Wei Zhang. "A Virtual Experiment Platform Based on Matlab Webserver." Advanced Materials Research 216 (March 2011): 605–8. http://dx.doi.org/10.4028/www.scientific.net/amr.216.605.

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The concept of virtual experiment platform and matlab webserver, the fundamental principles and system configurations of Matlab Webserver are introduced in detailed. The key process and source codes are divided into three essential parts in the simulation system, and they are Mfile, HTML input interface and HTML output document. Finally, the simulating result is presented.

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Aung, Dr Wai Phyo. "Simulation Approach with MATLAB GUI for Teaching Electronic Engineering Subjects." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 2720–23. http://dx.doi.org/10.31142/ijtsrd15742.

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Fang, Mei, Zhihong Yu, and Wenjie Zhang. "Dynamic analysis of material motion using MATLAB/Simulation environment and test verification." Advances in Mechanical Engineering 12, no. 9 (September 2020): 168781402095780. http://dx.doi.org/10.1177/1687814020957806.

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Throwing device is an important factor that directly affects the performance of chaff cutter. In this work, the dynamic analysis linked with the problem of low efficiency and residue blockage of disc knife chaff cutter is executed. Based on this perspective, the mathematical model, simulation, and testing of the material movement have been carried out. Simulations are performed in MATLAB/Simulink environment. An anemometer records the airflow velocity, which provides data for simulation analysis. The simulation results showed that during the movement along the blade, the material first performs deceleration and then accelerates; in other stages, only deceleration. And finally calculated the throwing distance. To support the presented simulations, an experimental study is conducted. The experimental results are compared with simulation results, the maximum relative error between the simulated value and the experimental value is 9.42%, which verified the correctness of the model. This research provides a theoretical basis for the structural design, parameter optimization, and matching of the chaff cutter.

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Li, Yongxing, Hongfei Jia, Ya-Nan Zhou, and Lili Yang. "Simulation research on pedestrian counter flow subconscious behavior." International Journal of Modern Physics C 28, no. 02 (February 2017): 1750025. http://dx.doi.org/10.1142/s0129183117500255.

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Analyzing the pedestrian subconscious behavior and walking environment in the passage, right-moving preference subconscious strength and overtaking subconscious strength are introduced into the pedestrian simulation model which is based on lattice gas model. Two pedestrian subconscious behavior simulation models, which are distinguished by whether considering pedestrian flow ratio of two directions or not, are established respectively. With the platform of MATLAB software, the simulations of pedestrian counter flow subconscious behavior are realized. The simulations indicate that compared with the pedestrian subconscious behavior simulation model without considering the pedestrian flow ratio of two directions, the model that considers the pedestrian flow ratio of two directions is better in simulating the pedestrian subconscious behavior.

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Bolut, Andrey, Pavel Sorokin, and Svetlana Zaykova. "The simulation of transmission system by MATLAB tools." Актуальные направления научных исследований XXI века: теория и практика 3, no. 7 (December 10, 2015): 173–75. http://dx.doi.org/10.12737/14831.

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Liu, Cai Xia. "Running Simulation System of Distillation Columns Based on MATLAB." Advanced Materials Research 143-144 (October 2010): 444–47. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.444.

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Establish the mathematical model for distillation columns running system, and calculate configurable and performance parameter. Using MATLAB to simulate and analyze dynamic external load such as wind load and earthquake load, do the curve fitting. That provides theoretic results and simulating curve for designing and modifying column structure. New dynamic continuous computation in external load is substituted for the traditional subsection computation for the first time. Numerical superposition and curve fitting of load along the entire tower is completed. That avoids discontinuous stress in the junction point generated by subsection computer with deviation value to the full. Bending moment calculated can infinitely close to the ground beyond section numbers, and describes the external load more truly and reliably. Simulation results of an actual system demonstrate that precision of continuous computation is obviously higher than that of subsection computation. Simulation software based on MATLAB has high efficiency, good stability, which is convenient to checkout columns strength, rigidity and stability under dynamic external load.

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Gordillo, Germán Campos, Germán Ramos Ruiz, Yves Stauffer, Stephan Dasen, and Carlos Fernández Bandera. "EplusLauncher: An API to Perform Complex EnergyPlus Simulations in MATLAB® and C#." Sustainability 12, no. 2 (January 16, 2020): 672. http://dx.doi.org/10.3390/su12020672.

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There is a growing concern about how to mitigate climate change, in which the production and use of energy has a great impact as one of the largest sources of global greenhouse gases (GHG). Buildings are responsible for a large percentage of these emissions. Therefore, there has been an increase in research in this area, in order to reduce their consumption and increase their efficiency. One of the major simulation programs used in optimization research is EnergyPlus. The purpose of this software is the complete energy simulation of a building, although it lacks tools to analyze its results and, above all, to manage and edit its simulations. For this reason, we developed an application programming interface (API) that serves to merge two areas which are highly demanded by researchers: energy building simulation (using EnergyPlus) and tools for the management and design of research experiments (in this case, MATLAB®). The developed API allows the user to perform complex simulations using EnergyPlus in a simple way, as it allows the editing of each simulation and the analysis of the simulation results through MATLAB®. In addition, it enables the user to simultaneously run multiple simulations, using either all computer core processors or a selection of them (i.e., allowing parallel computing), reducing the simulation time. The API was developed in the C# language, such that it can be used with any software that can import . N E T libraries.

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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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Figueroa Garcia, Juan Carlos, and Jhoan Sebastian Tenjo García. "FRand: MATLAB Toolbox for Fuzzy Random Number Simulation." Ingeniería 25, no. 1 (March 12, 2020): 38–49. http://dx.doi.org/10.14483/23448393.15620.

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Context: This paper presents a MATLAB code implementation and the GUI (General User Interface) for fuzzy random variable generation. Based on previous theoretical results and applications, a MATLAB toolbox has been developed and tested for selected membership functions. Method: A two–step methodology was used: i) a MATLAB toolbox was implemented to be used as interface and ii) all .m functions are available to be used as normal code. The main goal is to provide graphical and code–efficient tools to users. Results: The main obtained results are the MATLAB GUI and code. In addition, some experiments were ran to evaluate its capabilities and some randomness statistical tests were successfully performed. Conclusions: Satisfactory results were obtained from the implementation of the MATLAB code/toolbox. All randomness tests were accepted and all performed experiments shown stability of the toolbox even for large samples (>10.000). Also, the code/toolbox are available online. Acknowledgements: The authors would like to thank to the Prof. M Sc. Miguel Melgarejo and Prof. Jos´e Jairo Soriano–Mendez sincerely for their interest and invaluable support, and a special gratefulness is given to all members of LAMIC.

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Rosen, C., D. Vrecko, K. V. Gernaey, M. N. Pons, and U. Jeppsson. "Implementing ADM1 for plant-wide benchmark simulations in Matlab/Simulink." Water Science and Technology 54, no. 4 (August 1, 2006): 11–19. http://dx.doi.org/10.2166/wst.2006.521.

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The IWA Anaerobic Digestion Model No.1 (ADM1) was presented in 2002 and is expected to represent the state-of-the-art model within this field in the future. Due to its complexity the implementation of the model is not a simple task and several computational aspects need to be considered, in particular if the ADM1 is to be included in dynamic simulations of plant-wide or even integrated systems. In this paper, the experiences gained from a Matlab/Simulink implementation of ADM1 into the extended COST/IWA Benchmark Simulation Model (BSM2) are presented. Aspects related to system stiffness, model interfacing with the ASM family, mass balances, acid-base equilibrium and algebraic solvers for pH and other troublesome state variables, numerical solvers and simulation time are discussed. The main conclusion is that if implemented properly, the ADM1 will also produce high-quality results in dynamic plant-wide simulations including noise, discrete sub-systems, etc. without imposing any major restrictions due to extensive computational efforts.

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Aouchiche, N., M. Becherif, A. HadjArab, M. S. Aitcheikh, H. S. Ramadan, and A. Cheknane. "Dynamic Performance Comparison for MPPT-PV Systems using Hybrid Pspice/Matlab Simulation." International Journal of Emerging Electric Power Systems 17, no. 5 (October 1, 2016): 529–39. http://dx.doi.org/10.1515/ijeeps-2016-0074.

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Abstract The power generated by solar photovoltaic (PV) module depends on the surrounding irradiance and temperature. This paper presents a hybrid Matlab™/Pspice™ simulation model of PV system, combined with Cadence software SLPS. The hybridization is performed in order to gain the advantages of both simulation tools such as accuracy and efficiency in both Pspice electronic circuit and Matlab™ mathematical modelling respectively. For this purpose, the PV panel and the boost converter are developed using Pspice™ and hybridized with the mathematical Matlab™ model of maximum power point method controller (MPPT) through SLPS. The main objective is verify the significance of using the proposed hybrid simulation techniques in comparing the different MPPT algorithms such as the perturbation and observation (P&O), incremental of conductance (Inc-Cond) and counter reaction voltage using pilot cell (Pilot-Cell). Various simulations are performed under different atmospheric conditions in order to evaluate the dynamic behaviour for the system under study in terms of stability, efficiency and rapidity.

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Liu, Rui You, Zhi Yong Wang, and Zi Gang Duan. "SCM Control Based on Matlab Simulation Technology Applications." Applied Mechanics and Materials 494-495 (February 2014): 1106–9. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1106.

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The SCM controller is a special digital controller PID control system, for example to achieve the simulation of the control system are established SCM control system simulation model based on the operating characteristics of the single-chip controller in the Matlab environment. Single chip computer controller is a peculiar digital controller. Based on the characteristics of single chip computer controller, the simulation model of single chip computer control system in Matlab is established. The simulation of single chip computer control system is realized by taking the example of PID control 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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Journal articles on the topic 'Matlab Simulation'

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