Thematische Bibliographien / Matlab Simulink Model

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Auswahl der wissenschaftlichen Literatur zum Thema „Matlab Simulink Model“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 15. Februar 2022

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Zeitschriftenartikel zum Thema "Matlab Simulink Model"

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

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

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

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

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

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

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

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

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Moldovanu, D., und A. Csato. „Clutch model and controller development in MATLAB Simulink“. IOP Conference Series: Materials Science and Engineering 898 (25.08.2020): 012014. http://dx.doi.org/10.1088/1757-899x/898/1/012014.

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Martyanov, A. S., V. D. Shepelev und V. G. Mavrin. „Electric Vehicle Chassis Simulation Model in MATLAB/Simulink“. IOP Conference Series: Earth and Environmental Science 666, Nr. 3 (01.03.2021): 032059. http://dx.doi.org/10.1088/1755-1315/666/3/032059.

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Zhao, Shuai, Rui Guo, Liang Xu und Xue Li Guo. „Modeling and Simulation of the Automatic Transmission Assembly Using Matlab/Simulink“. Applied Mechanics and Materials 291-294 (Februar 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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Thompson, Bradley, und Hwan-Sik Yoon. „Internal Combustion Engine Modeling Framework in Simulink: Gas Dynamics Modeling“. Modelling and Simulation in Engineering 2020 (03.09.2020): 1–16. http://dx.doi.org/10.1155/2020/6787408.

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

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Dissertationen zum Thema "Matlab Simulink Model"

Havlát, Petr. „Simulátor mobilních robotů v prostředí Matlab/Simulink“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217850.

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The main goal is the programming scene MATLAB/Simulink creation of graphic user interface (GUI), which allows the simulation of mobile robots movement. The work covers two types of these robots – first one is the robot with differentially controlled truck and second one auto robot (car-like robot). As a part of this draft GUI, there are also possibilities of showing all trajectory or only actual position, selection of step after which the robot can delineate and possibility of layout between the positions by using the button back and forwards.

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Glos, Jan. „Využití modelů v jazyce Modelica v prostředí Matlab-Simulink“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221266.

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This thesis solves the use of Modelica models in Matlab/Simulink enviroment. The first part is focused on Modelica language and Functional Mock-up Interface, a standard way for model exchange and co-simulation of dynamic models, which is supported by most Modelica oriented tools. Based on this standard FMUtoolbox was created and it provides the ability to import and simulate models exported as Functional Mock-up Unit. The tool provides a Simulink block, graphical and command-line interface.

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Sivaraman, Gokul. „Development of PMSM and drivetrain models in MATLAB/Simulink for Model Based Design“. Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301027.

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When developing three-phase drives for Electric Vehicles (EVs), it is essential to verify the controller design. This will help in understanding how fast and accurately the torque of the motor can be controlled. In order to do this, it is always better to test the controller using the software version of the motor or vehicle drivetrain than using actual hardware as it could lead to component damage when replicating extreme physical behavior. In this thesis, plant modelling of Permanent Magnet Synchronous Machine (PMSM) and vehicle drivetrain in MATLAB/Simulink for Model Based Design (MBD) is presented. MBD is an effective method for controller design that, if adopted can lead to cost savings of 25%-30% and time savings of 35%-40% (according to a global study by Altran Technologies, the chair of software and systems engineering and the chair of Information Management of the University of Technology in Munich) [1]. The PMSM plant models take effects like magnetic saturation, cross- coupling, spatial harmonics and temperature into account. Two PMSM models in d-q frame based on flux and inductance principles were implemented. Flux, torque maps from Finite Element Analysis (FEA) and apparent inductance from datasheets were used as inputs to the flux- and inductance-based models, respectively. The FEA of PMSM was done using COMSOL Multiphysics. The PMSM model results were compared with corresponding FEA simulated results for verification. A comparison of these PMSM models with conventional low fidelity models has also been done to highlight the impact of inclusion of temperature and spatial harmonics. These motor models can be combined with an inverter plant model and a controller can be developed for the complete model. Low frequency oscillations of drivetrain in EVs lead to vibrations which can cause discomfort and torsional stresses. In order to control these oscillations, an active oscillation damping controller can be implemented. For implementation of this control, a three-mass mechanical plant model of drivetrain with an ABS (Anti-lock Braking System) wheel speed sensor has been developed in this thesis. Analysis of the model transfer function to obtain the pole zero maps was performed. This was used to observe and verify presence of low frequency oscillations in the drivetrain. In order to include the effects of ABS wheel speed sensor and CAN communication, a model was developed for the sensor.
Testning av regulatorernas inställningar med hänsyn till snabbhet och noggrannhet i momentreglering är avgörande i trefasiga drivsystem för elektriska fordon. Oftast är det bättre att simulera i stället för att utföra experimentella tester där komponenter kan skadas på grund av fysisk stress. Detta kallas för Model Based Design (MBD). MBD är an effektiv metod för utformningen av styrningen som kan leda till kostnadsbesparingar på 25%-30% och tidsbesparingar på 35%-40% enligt en studie från Altran Technologies i samarbete med Tekniska universitet i München, TUM. Detta examensarbete behandlar en modell för en synkronmaskin med permanentmagneter (PMSM) samt en modell för drivlinan utvecklad i Matlab/Simulink för MBD. PMSMs modellen inkluderar magnetisk mättnad och tvärkoppling, MMF övervågor och temperatur. Två PMSM modeller har utvecklats. Den första baseras på magnetiskt flöde som erhålls från finita element beräkningar i COMSOL Multiphysics medan den andra bygger på induktanser givna från datablad. En jämförelse av dessa PMSM-modeller med konventionella low fidelity-modeller har också gjorts för att illustrera påverkan temperaturberoende och MMF övervågor. Modellerna kan kombineras med en växelriktarmodell för att utveckla en hel styrenhet. Lågfrekventa oscillationer i drivlinan leder till vibrationer som kan orsaka vridspänningar och försämra komforten i elfordonet. En aktiv dämpningsregulator kan implementeras för att kontrollera spänningarna men en mekanisk drivlinemodell med tre massor och en ABS (anti-lock braking system) hastighetssensor behövs. Den mekaniska modellen har implementerats och analyserats även beaktande en modell för en CAN kommunikationskanal. Oscillationer med låg frekvens kunde observeras i modellen.

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Soltani, Saeed. „Dynamic Architectural Simulation Model of YellowCar in MATLAB/Simulink Using AUTOSAR System“. Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-212596.

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The YellowCar at the professorship of computer engineering of TU Chemnitz is a demonstration vehicle. The car is equipped with multiple networked Electronic Control Unit (ECU)s. There are regular software and hardware updates. Before introduction of any new update, it is essential to test the behavior of the car. This can be done through simulation. Since the majority of the ECU in YellowCar are AUTOSAR based, several AUTOSAR simulation tools can be used to do so. However non-AUTOSAR ECU applications can still not be simulated in these tools. Moreover simulating with such tools need the whole application to be implemented and also very expensive. Simulink is one of the most powerful tools for the purpose of Model-in-the-Loop (MIL) testing which is a popular strategy in the embedded world. The scope of this Master thesis is analyzing the YellowCar and its architecture to develop a dynamic Simulink architectural model that can be modified and extended to facilitate future updates. The outcome of this thesis is an implementation of a model for the YellowCar which allows both AUTOSAR and non-AUTOSAR ECUs to be simulated as one system. Also the model supports extension by easy addition of new modules like ECU or sensor through a graphical user interface.

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Leitner, Florian. „Evaluation of the Matlab Simulink Design Verifier versus the model checker SPIN“. [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-61257.

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Eastbourn, Scott Michael. „Modeling and Simulation of a Dynamic Turbofan Engine Using MATLAB/Simulink“. Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1340582603.

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Hendl, Adam. „Virtuální model technologického procesu řízený PLC“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413182.

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This Diploma thesis describes the procedure of setting the parameters of communication blocks and functions in PLC and PC, so that it is possible to remotely control part of the production process. TCP / IP protocol is used for communication between devices. Part of the production technology is represented by the created 3D model, which serves for three-dimensional interpretation of the simulation of the mathematical model of this part of the process. Part of this work is the design of this model and description of its dynamics.

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Dušek, Jiří. „Řízení stroje s PM v d-q osách při použití Matlab/Simulink“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218789.

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Tato práce se zabývá synchronním motorem s permanentními magnety na rotoru (PMSM), jeho modelováním a návrhu regulační struktury. V práci jsou uvedeny způsoby a výhody použití permanentních magnetů v elektrických motorech. Dále se práce zabývá transformací třífázové soustavy do dq0. Pomocí Parkovy transformace jsou v práci odvozeny rovnice stroje v dq0 souřadnicovém systému a vytvořeny náhradní schémata stroje v dq osách. Rovnice i schémata zahrnují jak ztráty v mědi, tak ztráty v železe. Náhradní schémata jsou popsány elektrickými a mechanickými rovnicemi a následně překresleny do grafické podoby v programu Matlab Simulink. Vytvořeny jsou dva modely PMSM, jeden s uvažováním ztrát v železe a druhý bez těchto ztrát. Pro oba dva modely je zde popsán postup návrhu regulátorů proudu a otáček. Pro model, u kterého jsou uvažovány ztráty v železe je navíc použito více druhů řídicích strategií a tyto strategie jsou mezi sebou navzájem porovnány.

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Kachlík, Jan. „Model elektrického vozidla v programu SIMULINK/SIMSCAPE“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219034.

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The topic of this diploma thesis is mathematical model of electric vehicle. The traction drive consists of Li-Ion battery, free-phase DC/AC converter and permanent magnet synchronous machine. The main goal of the thesis is development of function model and making simulations in SIMULINK/SIMSCAPE program. Work is divided into three main parts. The first part is dedicated to the theoretical description of the main drive components. The second part describes partial subsystems of the model. In the last part is build a complete model of electric vehicle and simulated different driving mode.

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McFarland, Matthew Ogden. „Enhanced Cal Poly SuPER System Simulink Model“. DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/376.

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The Cal Poly Sustainable Power for Electrical Resources (SuPER) project is a solar power DC distribution system designed to autonomously manage and supply the energy needs of a single family off-the-grid home. The following thesis describes the improvement and re-design of a MATLAB Simulink model for the Cal Poly SuPER system. This model includes a photovoltaic (PV) array, a lead-acid gel battery with temperature effects, a wind turbine model, a re-designed DC-DC converter, a DC microgrid, and multiple loads. This thesis will also include several control algorithms such as a temperature controlled thermoelectric (T.E.) cooler, intelligent load switching, and an intelligent power source selector. Furthermore, a seven day simulation and evaluation of the results are presented. This simulation is an important tool for further system development, re-design, and long term system performance prediction.

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Bücher zum Thema "Matlab Simulink Model"

Atif, Iqbal, und Guzinski Jaroslaw, Hrsg. High performance control of AC drives with MATLAB/Simulink models. Chichester, West Sussex: Wiley, 2012.

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Abu-Rub, Haitham, Atif Iqbal und Jaroslaw Guzinski. High Performance Control of AC Drives with MATLAB/Simulink Models. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119969242.

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Binh, Le Nguyen. Optical fiber communications systems: Theory, practice, and MATLAB Simulink models. Boca Raton: Taylor & Francis, 2009.

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Thomas, Marc. Simulation des vibrations mécaniques par Matlab, Simulink et Ansys. Sainte-Foy: Presses de l'Université du Québec, 2007.

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Optical fiber communications systems: Theory and practice with MATLAB and Simulink models. Boca Raton: Taylor & Francis, 2009.

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Mohan, Ned. Advanced electric drives: Analysis, control, and modeling using MATLAB/Simulink. Hoboken, New Jersey: Wiley, 2014.

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Binh, Le Nguyen. Nonlinear optical systems: Principles, applications, and advanced signal processing with MATLAB and simulink models. Boca Raton: Taylor & Francis, 2012.

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service), SpringerLink (Online, Hrsg. Virtual Reality and Animation for MATLAB® and Simulink® Users: Visualization of Dynamic Models and Control Simulations. London: Springer London, 2012.

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Dittmar, Rainer. Model Predictive Control mit MATLAB und Simulink - Model Predictive Control with MATLAB and Simulink. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.86001.

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Simulink®: Simulation and model-based design : using Simulink®. 6. Aufl. Natick, MA: MathWorks, 2005.

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Buchteile zum Thema "Matlab Simulink Model"

Eshkabilov, Sulaymon. „Graphical User Interface Model Development“. In Beginning MATLAB and Simulink, 223–57. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5061-7_3.

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Šolc, František. „Matrix Model of Robot in Matlab – Simulink“. In Computer Aided Systems Theory - EUROCAST’99, 250–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/10720123_21.

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Singh, Krishna K., und Gayatri Agnihotri. „Model Manipulation“. In System Design through Matlab®, Control Toolbox and Simulink®, 57–111. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0697-5_2.

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Singh, Krishna K., und Gayatri Agnihotri. „Model Analysis“. In System Design through Matlab®, Control Toolbox and Simulink®, 147–97. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0697-5_4.

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A. Elbaset, Adel, und M. S. Hassan. „Small-Signal MATLAB/Simulink Model of DC–DC Buck Converter“. In Design and Power Quality Improvement of Photovoltaic Power System, 97–114. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47464-9_5.

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Legros, Elodie, Wilhelm Schäfer, Andy Schürr und Ingo Stürmer. „14 MATE - A Model Analysis and Transformation Environment for MATLAB Simulink“. In Model-Based Engineering of Embedded Real-Time Systems, 323–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16277-0_14.

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Zhang, Liyuan, Michael Glaß, Nils Ballmann und Jürgen Teich. „Bridging Algorithm and ESL Design: MATLAB/Simulink Model Transformation and Validation“. In Lecture Notes in Electrical Engineering, 189–206. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06317-1_10.

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Nürnberger, Andreas, Detlef Nauck und Rudolf Kruse. „Neuro-Fuzzy Control Based on the NEFCON-Model Under MATLAB/SIMULINK“. In Soft Computing in Engineering Design and Manufacturing, 393–400. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-0427-8_43.

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Kumar, Ashish, und D. Bhagwan Das. „Comparative Analysis of Metaheuristic Algorithms for the Implementation of Photovoltaic Solar Panel Model in MATLAB/Simulink“. In Lecture Notes in Mechanical Engineering, 369–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8025-3_36.

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Zhang, Xiaodong, und Hui Shi. „The Method to Establish the Simulation Model of Internal Feedback Motor Based on Software of Matlab/Simulink“. In Communications in Computer and Information Science, 109–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45286-8_12.

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Konferenzberichte zum Thema "Matlab Simulink Model"

Pandiarajan, Natarajan. „Photovoltaic generator MATLAB/Simulink model“. In 2016 3rd International Conference on Electrical Energy Systems (ICEES). IEEE, 2016. http://dx.doi.org/10.1109/icees.2016.7510622.

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Ignat, Andreea, Eniko Szilagyi und Dorin Petreus. „Renewable Energy Microgrid Model using MATLAB — Simulink“. In 2020 43rd International Spring Seminar on Electronics Technology (ISSE). IEEE, 2020. http://dx.doi.org/10.1109/isse49702.2020.9120923.

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Usman, Ahmad Mustapha, Mahir Kutay und Tuncay Ercan. „MATLAB/SIMULINK Model For HVDC Fault Calculations“. In 2019 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2019 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, 2019. http://dx.doi.org/10.1109/acemp-optim44294.2019.9007154.

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Yang, Chia-han, und Valeriy Vyatkin. „Model transformation between MATLAB simulink and Function Blocks“. In 2010 8th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2010. http://dx.doi.org/10.1109/indin.2010.5549757.

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Rehbein, Jan, Tim Wrutz und Rolf Biesenbach. „Model-based industrial robot programming with MATLAB/Simulink“. In 2019 20th International Conference on Research and Education in Mechatronics (REM). IEEE, 2019. http://dx.doi.org/10.1109/rem.2019.8744113.

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Jenifer., A., Nishia R. Newlin, G. Rohini. und V. Jamuna. „Development of Matlab Simulink model for photovoltaic arrays“. In 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET). IEEE, 2012. http://dx.doi.org/10.1109/icceet.2012.6203808.

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Leshtayev, Oleg V., Natalia A. Stushkina, Vladimir I. Zaginailov und Natalia A. Sergeeva. „Solar power station model in Matlab Simulink program“. In 2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). IEEE, 2020. http://dx.doi.org/10.1109/reepe49198.2020.9059128.

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Keles, Cemal, B. Baykant Alagoz, Murat Akcin, Asim Kaygusuz und Abdulkerim Karabiber. „A photovoltaic system model for Matlab/Simulink simulations“. In 2013 IV International Conference on Power Engineering, Energy and Electrical Drives (POWERENG). IEEE, 2013. http://dx.doi.org/10.1109/powereng.2013.6635863.

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Jaber, Mohammad, Lara Hamawy, Mohamad Hajj-Hassan, Mohamad Abou Ali und Abdallah Kassem. „MATLAB/Simulink Mathematical Model for Lung and Ventilator“. In 2020 32nd International Conference on Microelectronics (ICM). IEEE, 2020. http://dx.doi.org/10.1109/icm50269.2020.9331820.

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Bennett, Mark A., und William P. Amato. „Improved Heavy Vehicle Wheel Dynamics Model Using MATLAB/SIMULINK“. In International Truck & Bus Meeting & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-3707.

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