Thematische Bibliographien / Software-in-the-Loop Simulation

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Auswahl der wissenschaftlichen Literatur zum Thema „Software-in-the-Loop Simulation“

Autor: Grafiati
Veröffentlicht am 27. Juni 2021
Zuletzt aktualisiert am 12. Februar 2022

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Zeitschriftenartikel zum Thema "Software-in-the-Loop Simulation"

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Ben Ayed, M., L. Zouari und M. Abid. „Software In the Loop Simulation for Robot Manipulators“. Engineering, Technology & Applied Science Research 7, Nr. 5 (19.10.2017): 2017–21. http://dx.doi.org/10.48084/etasr.1285.

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In the last decades, the classical verification of robotic software component is postponed until the code is developed enough to function in real hardware. For this reason, the verification of code at early stages is essential to reduce development costs and necessary time for embedded systems such as robot manipulator. Therefore, Software In the Loop (SIL) simulation may be realized in the early stages of software development. It offers the possibility to execute tests before the hardware is available and thus detect errors. In this paper, we propose a Software In the Loop (SIL) test for robot manipulator driven by a Brushless DC Motor without a target system hardware. Simulation results prove the rapidity and the good performance of the developed code for the controller’s part by the validation of the behavior of robot manipulator software.
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Kiesbye, Jonis, David Messmann, Maximilian Preisinger, Gonzalo Reina, Daniel Nagy, Florian Schummer, Martin Mostad, Tejas Kale und Martin Langer. „Hardware-In-The-Loop and Software-In-The-Loop Testing of the MOVE-II CubeSat“. Aerospace 6, Nr. 12 (01.12.2019): 130. http://dx.doi.org/10.3390/aerospace6120130.

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This article reports the ongoing work on an environment for hardware-in-the-loop (HIL) and software-in-the-loop (SIL) tests of CubeSats and the benefits gained from using such an environment for low-cost satellite development. The satellite tested for these reported efforts was the MOVE-II CubeSat, developed at the Technical University of Munich since April 2015. The HIL environment has supported the development and verification of MOVE-II’s flight software and continues to aid the MOVE-II mission after its launch on 3 December 2018. The HIL environment allows the satellite to interact with a simulated space environment in real-time during on-ground tests. Simulated models are used to replace the satellite’s sensors and actuators, providing the interaction between the satellite and the HIL simulation. This approach allows for high hardware coverage and requires relatively low development effort and equipment cost compared to other simulation approaches. One key distinction from other simulation environments is the inclusion of the electrical domain of the satellite, which enables accurate power budget verification. The presented results include the verification of MOVE-II’s attitude determination and control algorithms, the verification of the power budget, and the training of the operator team with realistic simulated failures prior to launch. This report additionally presents how the simulation environment was used to analyze issues detected after launch and to verify the performance of new software developed to address the in-flight anomalies prior to software deployment.
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Buzdalov, Denis. „Simulation of AADL models with software-in-the-loop execution“. ACM SIGAda Ada Letters 36, Nr. 2 (10.05.2017): 49–53. http://dx.doi.org/10.1145/3092893.3092902.

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Thi Nguyen, Ha, Guangya Yang, Arne Hejde Nielsen, Peter Højgaard Jensen und Carlos F. M. Coimbra. „Control parameterisation for POD via software-in-the-loop simulation“. Journal of Engineering 2019, Nr. 18 (01.07.2019): 4864–68. http://dx.doi.org/10.1049/joe.2018.9331.

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Xiang Chen, Meranda Salem, Tuhin Das und Xiaoqun Chen. „Real Time Software-in-the-Loop Simulation for Control Performance Validation“. SIMULATION 84, Nr. 8-9 (August 2008): 457–71. http://dx.doi.org/10.1177/0037549708097420.

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Zhao, Zhang Le, You Bing Zhang und Jun Qi. „Dynamic Simulation for Grid-Connected Inverters of Distributed Generation Based on DIgSILENT Software“. Applied Mechanics and Materials 291-294 (Februar 2013): 2042–46. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2042.

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This paper introduces some typical control methods for the grid-connected inverters in the distributed generation (DG) systems, the double-loop control strategy is focused on and analyzed in detail. The proposed outer-loop control strategies are summarized. Meanwhile, the inner-loop control method established on dq rotating frame is introduced. The simulation models of the inverters for DG in the DIgSILENT software are introduced, and the simulations for the proposed control strategies are realized.
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Alonso-Eugenio, Victor, Victor Guerra, Santiago Zazo und Ivan Perez-Alvarez. „Software-in-Loop Simulation Environment for Electromagnetic Underwater Wireless Sensor Networks over STANAG 5066 Protocol“. Electronics 9, Nr. 10 (01.10.2020): 1611. http://dx.doi.org/10.3390/electronics9101611.

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In this work, the development of a software-in-loop platform to carry out Underwater Wireless Sensor Network (UWSN) simulations using a real-time STANAG 5066 stack is presented. The used protocol stack is part of a real-world implementation of an underwater wireless node based on ElectroMagnetic (EM) Underwater Radio Frequency Communication (EM-URFC), framed within Spanish Government’s project HERAKLES. The main objective of this work was to assess the suitability of this software-in-loop approach for carrying out realistic UWSN simulations. In addition to a detailed description of the simulation process, several simulations considering an illustrative network topology are performed, analyzing the impact of different critical parameters on the network performance. The conclusions suggest that the developed software-in-loop platform is suitable to carry out UWSN network tests using a real-world implementation of the STANAG 5066 stack. Moreover, other real-time protocol stacks may be easily adapted with minor modifications.
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Kychkin, Aleksey, und Ksenia Sinitcina. „Hardware-in-the-loop simulation and energy monitoring software for microgrid research“. Energy Safety and Energy Economy 4 (August 2018): 41–47. http://dx.doi.org/10.18635/2071-2219-2018-4-41-47.

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Kwon, Wook Hyun, Seong-Gyu Choi und Ki Baek Kim. „Network-based software-in-the-loop simulation for real-time control system“. IFAC Proceedings Volumes 32, Nr. 2 (Juli 1999): 6047–52. http://dx.doi.org/10.1016/s1474-6670(17)57032-9.

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Chowdhury, Sharmin-E.-Shams, Aleksandar Stevanovic und Nikola Mitrovic. „Evaluation of Multiple Hardware and Software in the Loop Signal Controllers in Simulation Environment“. Transportation Research Record: Journal of the Transportation Research Board 2672, Nr. 18 (01.07.2018): 93–106. http://dx.doi.org/10.1177/0361198118784168.

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This study evaluates two groups of methods to model traffic signal operations in microscopic simulation: hardware-in-the-loop simulation (HILS) and software-in-the-loop simulation (SILS). These methods have become standards for accurate modeling of traffic signal operations, but in spite of the large number of available options there are no studies that have conducted relevant comparative evaluations. This study bridges this gap by investigating signal timing and operational differences of these two methods in basic actuated operations of a single signalized intersection. The emphasis is given to broad examination of various platforms as opposed to more complex experiments done with individual platforms. A representative number of 65-minute simulation runs was executed for each experimental scenario. The results showed that differences between various HILS and SILS platforms are large enough that one cannot confidently switch between the platforms without affecting the final outcomes. The study confirmed previous findings about the impact of the initialization process on the simulation results, but the initialization itself does not seem to be the major source of discrepancy. Further investigation is needed to reveal role of consistency of internal NEMA-based controller logics among various controllers. These findings put a considerable dilemma/restriction on how various HILS and SILS platforms, either alone or in conjunction with other higher forms of traffic control strategies, can be used in joint fashion.
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Dissertationen zum Thema "Software-in-the-Loop Simulation"

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Herfs, Werner Josef. „Modellbasierte Software in the Loop Simulation von Werkzeugmaschinen /“. Aachen : Apprimus-Verl, 2010. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018939251&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Zheng, Yue. „Driver model for a software in the loop simulation tool“. Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265668.

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For this project, a Software-In-the-Loop (SIL) simulation tool is used at Scania (“VTAB” – Virtual Truck and Bus), which simulates the submodels of the mechanical vehicle components together with the real control units. The simulation tool contains the following submodels: Engine model, Drivetrain model, Drive cycle model, Restbus model, and Driver model. The simulated human driver submodel in the restbus model outputs two pedal control signals to the control unit, namely the gas and brake pedals. With these two pedal signals, the control unit decides the modes of mechanical vehicle components. This driver model needs to be reworked to obtain a better velocity following performance. Two controllers, fuzzy PI anti-windup and backward calculation, are implemented in the driver model and compared by the velocity tracking accuracy and the pedal switching frequency. In the comparison and analysis section, two different cycles and two weights of payload are simulated. The simulation results demonstrate that both controllers can improve the driver model’s velocity tracing accuracy. Further, the fuzzy PI anti-windup controller is better when considering pedal signals fluctuation frequency and implementation complexity.
För detta projekt används ett simuleringsverktyg Software-In-the-Loop (SIL) på Scania (“VTAB” - Virtual Truck and Bus), vilket simulerar submodellerna för de mekaniska fordonskomponenterna tillsammans med de verkliga styrenheterna. Simuleringsverktyget innehåller följande submodeller: Motormodell, Drivmotormodell, Drivcykelmodell, Restbusmodell och Drivermodell. Den simulerade submodellen för mänsklig förare i restbussmodellen kommer att sända två pedalsstyrsignaler till styrenheten, nämligen gas och broms. Med dessa två pedalsignaler kan styrenheten avgöra lägen av mekaniska fordonskomponenter. Denna drivrutinmodell måste omarbetas för att få en bättre hastighetsspårnings presentationsförmåga. Två styrenheter, fuzzy PI anti-windup och bakåtberäkning, implementeras i förarmodell och jämförs respektive med hastighetsspårningsnoggrannhet och pedalväxelfrekvens. I jämförelseoch analysavsnittet simuleras två olika cyklar och två nyttolast. Simuleringsresultaten visar att båda kontrollerna kan förbättra förarmodellens hastighetsspårningskapacitet. Vidare är fuzzy PI-anti-windup-kontroller bättre när man tar hänsyn till pedalsignalernas fluktueringsfrekvens och implementeringskomplexitet
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Edgar, Alexander Montero Vera. „Virtual Commissioning of an industrialwood cutter machine : A software in the loop simulation“. Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-77401.

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The methods used today for the commissioning and validation of industrial machines requires theconstruction of physical prototypes. Those prototypes help the engineers to e.g. validate if theprogram code meant to control a machine works as intended. In recent years the development ofnew techniques for the commissioning and validation of industrial machines has changed rapidlythanks to the development of new software. The method used in this thesis is called simulationin the loop. Another method that can be benecial to use is hardware in the loop. Using thosemethods for the commissioning of a machine is called virtual commissioning. The simulation inthe loop method is used to simulate both the machine and the control system that operate thatmachine. This is called a digital twin, a virtual copy of the physical hardware and its control systemthat can be used without the need for a real prototype to be available.The software used in this thesis comes all from the company Siemens and those are TIA Portal,Mechatronics Concept Designer, SIMIT and PLCSim Advanced. By using those programs it waspossible to build a digital twin with rigid body dynamics and its control system of the industrialmodel that was given by the company Renholmen AB. This model contained all the necessarycomponents needed for a virtual commissioning project to be done without the need to be at thefactory oor.The results showed that it was possible to achieve a real time simulation, allowing the possibilityto trim the controller parameters without the need of a physical prototype. Design errors were alsofound thanks to the results of the simulation.This new technique has shown to be a useful tool due to most of the work could be done on a digitalmodel of the machine. Simulations can reduce the time to market for industrial machines and alsohelp engineers to validate and optimize the product at an early stage. This tool that can be usedto validate industrial machines before they are created.
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Ashby, Ryan Michael. „Hardware in the Loop Simulation of a Heavy Truck Braking System and Vehicle Control System Design“. The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366046155.

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Rafeeq, Akhil Ahmed. „A Development Platform to Evaluate UAV Runtime Verification Through Hardware-in-the-loop Simulation“. Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99041.

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The popularity and demand for safe autonomous vehicles are on the rise. Advances in semiconductor technology have led to the integration of a wide range of sensors with high-performance computers, all onboard the autonomous vehicles. The complexity of the software controlling the vehicles has also seen steady growth in recent years. Verifying the control software using traditional verification techniques is difficult and thus increases their safety concerns. Runtime verification is an efficient technique to ensure the autonomous vehicle's actions are limited to a set of acceptable behaviors that are deemed safe. The acceptable behaviors are formally described in linear temporal logic (LTL) specifications. The sensor data is actively monitored to verify its adherence to the LTL specifications using monitors. Corrective action is taken if a violation of a specification is found. An unmanned aerial vehicle (UAV) development platform is proposed for the validation of monitors on configurable hardware. A high-fidelity simulator is used to emulate the UAV and the virtual environment, thereby eliminating the need for a real UAV. The platform interfaces the emulated UAV with monitors implemented on configurable hardware and autopilot software running on a flight controller. The proposed platform allows the implementation of monitors in an isolated and scalable manner. Scenarios violating the LTL specifications can be generated in the simulator to validate the functioning of the monitors.
Master of Science
Safety is one of the most crucial factors considered when designing an autonomous vehicle. Modern vehicles that use a machine learning-based control algorithm can have unpredictable behavior in real-world scenarios that were not anticipated while training the algorithm. Verifying the underlying software code with all possible scenarios is a difficult task. Runtime verification is an efficient solution where a relatively simple set of monitors validate the decisions made by the sophisticated control software against a set of predefined rules. If the monitors detect an erroneous behavior, they initiate a predetermined corrective action. Unmanned aerial vehicles (UAVs), like drones, are a class of autonomous vehicles that use complex software to control their flight. This thesis proposes a platform that allows the development and validation of monitors for UAVs using configurable hardware. The UAV is emulated on a high-fidelity simulator, thereby eliminating the time-consuming process of flying and validating monitors on a real UAV. The platform supports the implementation of multiple monitors that can execute in parallel. Scenarios to violate rules and cause the monitors to trigger corrective actions can easily be generated on the simulator.
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Fåhraeus, Karin. „Enhancement of the Mechatronic Development Process with Software in the loop Simulation : An embedded control case study“. Thesis, KTH, Maskinkonstruktion (Inst.), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180947.

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This master thesis is performed at the mechatronic department at the company Mycronic, which are responsible for the embedded software in their pick and place machines. Today the embedded code can be executed and tested on a PIL simulation, where the control code runs on the actual target processor and the dynamic of the system (plant model) is modeled by a mathematical equation implemented as a C-function on the target board. The task is to find away to run the simulation with the real embedded code on a desktop computer. The aim is to investigate and examine how this simulation can be achieved and the advantages and opportunities it brings to the development process of the embedded system. For embedded system, Model-based Development usually refers to control and plant modelsand simulations and in the loop simulations. In a model-based workflow it starts with Model in the loop (MIL), then Software in the loop (SIL), Processor in the loop (PIL) and finally Hardware in the loop (HIL). Software in the loop simulation means that the plant is modeled but the control is executed in a low level language such as C and the simulation runs on a desktop computer. The investigation on how to implement a simulation resulted in a prototype SIL simulator, representing one of the axes. The simulation executes the control C-code together with a z-axis plant model on a Linux desktop computer. It is realized in two ways, where both are based on compiling the control code for a Linux computer and the difference is the implementation of the plant model. For the first simulation method, the plant models is represented in the same way as the PIL simulation and for the second simulation method the plant model is represented in Simulink. The result from this master thesis is that the SIL simulation has shown to be very useful andhave a lot of advantages. The SIL simulation gives an opportunity to execute and test the code and the control before it is integrated with the target processor. Problems and errors can thus be detected early. One of the big advantages is that it is not dependent of any hardware and any other software/tool. With the SIL simulation the code gets easier to debug, longer logscan be achieved and the simulation gets closer to reality than when modeling the control. A very important part of the SIL simulation is that it includes the interaction between the mechanical design, the control design and the software design which is very important in mechatronics system. The SIL simulation contributes to be able to run the main software together with the simulation, which helps in the integration tests.
Detta examensarbete är utfört på företaget Mycronic på deras mekatronikavdelning, vilka är ansvarig för utvecklingen av den inbyggda mjukvaran i deras ytmonteringsmaskiner. I dagsläget kan den inbyggda koden köras och testas i en PIL simulering, där kontrollkoden körs på det inbyggda systemet medan dynamiken av systemet är modellerad och uttryckt med matematiska ekvationer implementerat i en C-funktion. Uppgiften är att hitta ett sätt att köra en simulering med den riktiga inbyggda koden på en dator. Syftet med examensarbetet är att utreda och undersöka hur denna simulering kan förbättra utvecklingsprocessen för den inbyggda koden hos Mycronic. För inbyggda system och reglerteknik syftar Model-based Development (modellbaserad utveckling) oftast på att modeller och simulering av styrsystemet och det dynamiska systemet. Ett modellbaserat arbetsflöde startar med Model in the loop (MIL), sedan Software in the loop (SIL), Processor in the loop (PIL) och sist Hardware in the loop (HIL). Software in the loop simulering betyder att det dynamiska systemet är modellerat men styrsystemet är implementerat i en lågnivå programmeringsspråk så som C. Resultatet från undersökning som innefattade att hitta ett sätta att implementera en simulering var en SIL simulering som representerar en av axlarna och körs på två olika sätt. Simuleringen kör styrsystemets kod tillsammans med en modellering av det dynamiska systemet där skillnaden är implementeringen av denna modell. För den första metoden implementeras dynamiken på samma sätta som PIL simuleringen och för den andra metoden implementeras dynamiken i en modell i Simulink. Resultatet från detta examensarbete är att SIL simuleringen har visat sig vara väldigt användbar och har många fördelar. SIL simuleringen ger en möjlighet att köra och testa koden och regleringen innan den köra på det inbyggda systemets processor. Problem och fel kan på sätt upptäckas tidigt. En stor fördel är att SIL simuleringen inte är beroende av någon hårdvara eller annan mjukvara. Det blir enklare att felsöka koden med SIL simuleringen och längre loggningar kan göras då minnet inte är så begränsat som på det inbyggda systemet. En väldigt viktig fördel med SIL simuleringen är att den inkluderar interaktionen mellan den mekaniska, regler och mjukvaru designen. Den bidrar även till att kunna köra huvudmjukvaran ihop med det inbyggda systemets simulering, vilket hjälper till i integrationsprocessen.
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King, Jonathan Charles. „Model-Based Design of a Plug-In Hybrid Electric Vehicle Control Strategy“. Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/34962.

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For years the trend in the automotive industry has been toward more complex electronic control systems. The number of electronic control units (ECUs) in vehicles is ever increasing as is the complexity of communication networks among the ECUs. Increasing fuel economy standards and the increasing cost of fuel is driving hybridization and electrification of the automobile. Achieving superior fuel economy with a hybrid powertrain requires an effective and optimized control system. On the other hand, mathematical modeling and simulation tools have become extremely advanced and have turned simulation into a powerful design tool. The combination of increasing control system complexity and simulation technology has led to an industry wide trend toward model based control design. Rather than using models to analyze and validate real world testing data, simulation is now the primary tool used in the design process long before real world testing is possible. Modeling is used in every step from architecture selection to control system validation before on-road testing begins. The Hybrid Electric Vehicle Team (HEVT) of Virginia Tech is participating in the 2011-2014 EcoCAR 2 competition in which the team is tasked with re-engineering the powertrain of a GM donated vehicle. The primary goals of the competition are to reduce well to wheels (WTW) petroleum energy use (PEU) and reduce WTW greenhouse gas (GHG) and criteria emissions while maintaining performance, safety, and consumer acceptability. This paper will present systematic methodology for using model based design techniques for architecture selection, control system design, control strategy optimization, and controller validation to meet the goals of the competition. Simple energy management and efficiency analysis will form the primary basis of architecture selection. Using a novel method, a series-parallel powertrain architecture is selected. The control system architecture and requirements is defined using a systematic approach based around the interactions between control units. Vehicle communication networks are designed to facilitate efficient data flow. Software-in-the-loop (SIL) simulation with Mathworks Simulink is used to refine a control strategy to maximize fuel economy. Finally hardware-in-the-loop (HIL) testing on a dSPACE HIL simulator is demonstrated for performance improvements, as well as for safety critical controller validation. The end product of this design study is a control system that has reached a high level of parameter optimization and validation ready for on-road testing in a vehicle.
Master of Science
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Dočekal, Martin. „HIL simulace manipulátorů nebo stroje“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444291.

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The diploma thesis deals with HIL simulation (hardware in the loop). The thesis contains a manipulator created in the virtual software V-REP. The connection of real inputs and virtual outputs of the machine is realized by the microcontroller Arduino UNO. The first task deals with the control of the manipulator using the joystick PS2. The second task is a separate control of the robot using an microcontroller Arduino UNO. The resulting connection can be modified in the furher and the interface modified. The work will be used for educational purposes.
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Haffar, Mohamad. „Développement d'une plateforme de co-simulation en vue de validation et d'évaluation de performances des systèmes de communication pour les installations de distribution électriques“. Thesis, Grenoble, 2011. http://www.theses.fr/2011GRENT043.

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Un système de distribution électrique est le cœur de tous types de sites industriels, aussi bien les sites producteurs d'énergie que les sites consommateurs. La sécurité de ce système doit être impérativement assurée par la mise en place des unités assurant plusieurs fonctionnalités de protection contre les dédauts électriques. Parmi ces fonctionalités il existe celles qui se basent sur des échanges d'information entre plusieurs unités de protection. Le standard IEC 61850 guarantit cet échange des informations via des signaux ‘temps réel' échangé via le réseau de communication. Vue l'aspet non deterministe de ces signaux, une étude poussée de leur fiabilité doit être effectuée. Pour ces raisons notre travail de thèse a pour objectif de mettre en place une méthodologie, basée sur une plateforme de Co-Simulation conçue pendant notre étude, qui permet la validation de la fiabilité de ces messages tout au long du cycle de vie d'un système de communication IEC 61850
From 2004, a new worldwide standard of communication IEC61850 is introduced in the majority of substation automation system carrying out new innovation prospects to the world of substation. One of these feature is that it allows the exchange of security real time communication messages all over the communication network. These messages are used as control information for the Distributed Automation Application 'DAA'. Taking into consideration that DAA have a direct effect on ythe dependability of a smart grid architecture, the fiability of these real time IEC 61850 should be evaluated. For these reasons, our research delas with the development of a Co-Simulation platform that permits the evaluation and validation of an IEC 61850 communication network
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de, Graaf Niels. „Simulation of Attitude and Orbit Control for APEX CubeSat“. Thesis, Luleå tekniska universitet, Rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80736.

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CubeSats are becoming a game changer in the space industry. Appearing first for univer-sity mission, its popularity is increasing for commercial use and for deep space missionssuch as the on HERA mission that will orbit in 2026 around an asteroid as part of aplanetary defence mission. Standardisation and industrial collaboration is key to a fastdevelopment, assuring the product quality and lower development expenditures.In this study the focus is set elaborating a low cost demonstrator platform to be usedfor developing and testing onboard software on physical hardware: a Hardware-Softwaretesting facility. The purpose of such a platform is to create an interactive and accessibleenvironment for developing on board software. The application chosen to be elaboratedon this platform is a module the subsystem of attitude and orbit control of the satelliteorbiting around asteroid.In order to create this platform the simulation of the asteroid environment of theCubeSat has been made using open source software libraries. During this task the per-formance of open source libraries has been compared to commercial alternatives. In thedevelopment of simulation different orbit perturbations have been studied by modellingthe asteroid as a cube or spheroid and additionally the effect of a third perturbing bodyand radiation pressure.As part of this project two microcontroller have been set up communicating using acommunication bus and communication protocols used for space applications to simulatehow the attitude and orbit control is commanded inside the CubeSat.
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Buchteile zum Thema "Software-in-the-Loop Simulation"

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Baake, Uwe, und Klaus Wüst. „Combined Man-in-the-Loop and Software-in-the-Loop Simulation“. In Lecture Notes in Electrical Engineering, 171–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16767-6_9.

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Baumann, Tommy, Bernd Pfitzinger, Thomas Jestädt und Dragan Macos. „The Role of Simulation Performance in Software-in-the-Loop Simulations“. In Advances in Business ICT: New Ideas from Ongoing Research, 17–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47208-9_2.

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Niegl, M., P. E. Pfeffer und A. Contini. „Model-based steering ECU application using offline simulation (software in the loop)“. In Advanced Vehicle Control AVEC’16, 269–74. CRC Press/Balkema, P.O. Box 11320, 2301 EH Leiden, The Netherlands, e-mail: Pub.NL@taylorandfrancis.com, www.crcpress.com – www.taylorandfrancis.com: Crc Press, 2016. http://dx.doi.org/10.1201/9781315265285-43.

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4

Silano, Giuseppe, und Luigi Iannelli. „CrazyS: A Software-in-the-Loop Simulation Platform for the Crazyflie 2.0 Nano-Quadcopter“. In Studies in Computational Intelligence, 81–115. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20190-6_4.

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5

Picerno, Mario, Sung-Yong Lee, Markus Ehrly, Joschka Schaub und Jakob Andert. „Virtual Powertrain Simulation: X-in-the-Loop Methods for Concept and Software Development“. In Proceedings, 531–45. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33466-6_38.

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6

Vahldiek, Manuel. „Einsatz einer Software-in-the-Loop-Umgebung zur virtuell gestützten Applikation des Motorstarts eines hybriden Ottomotors“. In Experten-Forum Powertrain: Simulation und Test 2020, 87–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63606-0_6.

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7

Battisti, Timothy, Gerardina Faruolo und Lorenzo Magliocchetti. „A State-of-the-Art SWIL (Software in the Loop) Electronic Warfare System Simulator for Performance Prediction and Validation“. In Modelling and Simulation for Autonomous Systems, 154–64. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22383-4_11.

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8

Zeng, Wenwen, Ying Huang, Xuelong Zheng und Wenqiang Zhao. „Study on Engine Control Software Testing Based on Hardware-in-the-Loop Simulation Platform“. In Lecture Notes in Electrical Engineering, 995–1014. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8506-2_67.

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9

Zhang, Qian, und Baohang Shao. „Hardware in the Loop Simulation for Electromagnetic Environment Based on the Software Definable Signal Generator“. In Proceedings of the 13th International Conference on Man-Machine-Environment System Engineering, 231–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38968-9_26.

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Nguyen, Khoa Dang, Cheolkeun Ha und Jong Tai Jang. „Development of a New Hybrid Drone and Software-in-the-Loop Simulation Using PX4 Code“. In Intelligent Computing Theories and Application, 84–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95930-6_9.

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Konferenzberichte zum Thema "Software-in-the-Loop Simulation"

1

Jaw, Link C., und Dong N. Wu. „Code-in-the-Loop Simulation for Embedded Software Development“. In ASME Turbo Expo 2001: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-gt-0021.

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Control or monitoring logic development typically follows the process of model building, analysis, design, and (nonlinear) simulation. After the logic is verified in computer simulation, the corresponding embedded control or monitoring code is generated and downloaded to the controller’s microprocessor. Then a hardware-in-the-loop (HITL) simulation is conducted to verify the logic and the controller interface. Although this process is well established, the requirements for real-time simulation and hardware/software integration often pose a high risk in the embedded software development process. This risk can be mitigated by the code-in-the-loop (CITL) simulation methodology presented in this paper. This CITL simulation methodology has been applied to a software update of the full-authority digital engine control (FADEC) unit for the Honeywell (formerly AlliedSignal) Universal Jet Air Starter Unit (UNIJASU), which is a gas turbine engine packaged as an auxiliary power unit to jump start aircraft engines on the ground. The CITL simulation, although non-real time, successfully predicted the effects of several control logic options and facilitated the implementation of software update. Hence we recommend that the CITL simulation be incorporated in the embedded control software development process to shorten software update time. We further recommend that CITL be a necessary step in the process if HITL simulation is not feasible.
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2

Zollitsch, Alexander W., Simon P. Schatz, Nils C. Mumm und Florian Holzapfel. „Model-in-the-Loop Simulation of Experimental Flight Control Software“. In 2018 AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0425.

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3

Meneses Cime, Karina, Mustafa Ridvan Cantas, Garrett Dowd, Levent Guvenc, Bilin Aksun Guvenc, Archak Mittal, Adit Joshi und James Fishelson. „Hardware-in-the-Loop, Traffic-in-the-Loop and Software-in-the-Loop Autonomous Vehicle Simulation for Mobility Studies“. In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2020. http://dx.doi.org/10.4271/2020-01-0704.

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4

Duong, Ninh, und Matthew Fox. „An RF Software Rehearsal Tool for Hardware-In-The-Loop“. In AIAA Modeling and Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-5040.

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5

Youn, Jeamyoung, Jooyoung Ma, Myoungho Sunwoo und Wootaik Lee. „Software-in-the-Loop Simulation Environment Realization using Matlab/Simulink“. In SAE 2006 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-1470.

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6

Sooyong Jeong, Yongsub Kwak und Woo Jin Lee. „Software-in-the-Loop simulation for early-stage testing of AUTOSAR software component“. In 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2016. http://dx.doi.org/10.1109/icufn.2016.7536980.

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7

Yan, Quan-Zhong, John M. Williams und Jim Li. „Chassis Control System Development Using Simulation: Software in the Loop, Rapid Prototyping, and Hardware in the Loop“. In SAE 2002 Automotive Dynamics & Stability Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2002. http://dx.doi.org/10.4271/2002-01-1565.

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8

Beguin, Antoine, Philippe Allenbach, Stefan Keller, Jean-Jacques Simond, Sven Brausewetter und Jiri Koutnik. „Hardware-in-the-Loop Simulation Software for Regulator Tests and Optimization“. In 2007 IEEE Industry Applications Annual Meeting. IEEE, 2007. http://dx.doi.org/10.1109/ias.2007.365.

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9

Syed Ahamed, Mohamed Fasil, Girma Tewolde und Jaerock Kwon. „Software-in-the-Loop Modeling and Simulation Framework for Autonomous Vehicles“. In 2018 IEEE International Conference on Electro/Information Technology (EIT). IEEE, 2018. http://dx.doi.org/10.1109/eit.2018.8500101.

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10

Beguin, Antoine, Philippe Allenbach, Stefan Keller, Jean-Jacques Simond, Sven Brausewetter und Jiri Koutnik. „Hardware-in-the-Loop Simulation Software for Regulator Tests and Optimization“. In 2007 IEEE Industry Applications Annual Meeting. IEEE, 2007. http://dx.doi.org/10.1109/07ias.2007.365.

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