Relevant bibliographies by topics / Hardware-in-loop (HIL)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Hardware-in-loop (HIL)'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Hardware-in-loop (HIL)"

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Köhl, Susanne. "Hardware-in-the-loop HIL Tools in Change." ATZelektronik worldwide 6, no. 4 (2011): 48–51. http://dx.doi.org/10.1365/s38314-011-0042-5.

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Köhl, Susanne. "Hardware-in-the-Loop HiL Tools in Change." ATZautotechnology 11, no. 4 (2011): 54–57. http://dx.doi.org/10.1365/s35595-011-0054-z.

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Insam, Christina, Lisa-Marie Ballat, Felix Lorenz, and Daniel Jean Rixen. "Hardware-in-the-Loop Test of a Prosthetic Foot." Applied Sciences 11, no. 20 (2021): 9492. http://dx.doi.org/10.3390/app11209492.

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For a targeted development process of foot prostheses, a profound understanding of the dynamic interaction between humans and prostheses is necessary. In engineering, an often employed method to investigate the dynamics of mechanical systems is Hardware-in-the-Loop (HiL). This study conducted a fundamental investigation of whether HiL could be an applicable method to study the dynamics of an amputee wearing a prosthesis. For this purpose, a suitable HiL setup is presented and the first-ever HiL test of a prosthetic foot performed. In this setup, the prosthetic foot was tested on the test bench and coupled in real-time to a cosimulation of the amputee. The amputee was modeled based on the Virtual Pivot Point (VPP) model, and one stride was performed. The Center of Mass (CoM) trajectory, the Ground Reaction Forces (GRFs), and the hip torque were qualitatively analyzed. The results revealed that the basic gait characteristics of the VPP model can be replicated in the HiL test. Still, there were several limitations in the presented HiL setup, such as the limited actuator performance. The results implied that HiL may be a suitable method for testing foot prostheses. Future work will therefore investigate whether changes in the gait pattern can be observed by using different foot prostheses in the HiL test.
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Scheifele, C., A. Lechler, and A. Prof Verl. "Materialflussmodelle für die HiL-Simulation*/Material Flow Models for HiL-Simulation – Simulating the material flow of machines in a Hardware-in-the-Loop simulation." wt Werkstattstechnik online 106, no. 03 (2016): 119–24. http://dx.doi.org/10.37544/1436-4980-2016-03-23.

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Bei einer Hardware-in-the-Loop (HiL)-Simulation wird die reale Steuerungstechnik mit einer experimentierfähigen Maschinensimulation verbunden. Soll das Bewegungsverhalten des Materialflusses in der Maschinensimulation zur Generierung von Steuerungssignalen berechnet werden, so müssen die harten Echtzeitanforderungen einer HiL-Simulation eingehalten werden. Dieser Beitrag betrachtet verschiedene Materialflussmodelle und gibt das Ziel eines mehrskaligen Simulationsmodells für die HiL-Simulation vor.   A Hardware-in-the-Loop (HiL) simulation couples real control technology with an experimental machine simulation. When computing the movement behavior of a material flow in the machine simulation to generate control signals, the hard real-time requirements of a HiL-simulation must be considered. This article checks different material flow models and defines the objective of a multi-scale material flow model for HiL-Simulation.
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Cabeza, Luisa F., David Verez, and Mercè Teixidó. "Hardware-in-the-Loop Techniques for Complex Systems Analysis: Bibliometric Analysis of Available Literature." Applied Sciences 13, no. 14 (2023): 8108. http://dx.doi.org/10.3390/app13148108.

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Simulating complex systems in real time presents both significant advantages and challenges. Hardware-in-the-loop (HIL) simulation has emerged as an interesting technique for addressing these challenges. While HIL has gained attention in the scientific literature, its application in energy studies and power systems remains scattered and challenging to locate. This paper aims to provide an assessment of the penetration of the HIL technique in energy studies and power systems. The analysis of the literature reveals that HIL is predominantly employed in evaluating electrical systems (smart grids, microgrids, wind systems), with limited application in thermal energy systems (energy storage). Notably, the combination of electrical hardware-in-the-loop (EHIL) and thermal hardware-in-the-loop (THIL) techniques has found application in the assessment of vehicle thermal management systems and smart cities and, recently, has also been adopted in building systems. The findings highlight the potential for further exploration and expansion of the HIL technique in diverse energy domains, emphasizing the need for addressing challenges such as hardware–software compatibility, real-time data acquisition, and system complexity.
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Mihalič, Franc, Mitja Truntič, and Alenka Hren. "Hardware-in-the-Loop Simulations: A Historical Overview of Engineering Challenges." Electronics 11, no. 15 (2022): 2462. http://dx.doi.org/10.3390/electronics11152462.

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The design of modern industrial products is further improved through the hardware-in-the-loop (HIL) simulation. Realistic simulation is enabled by the closed loop between the hardware under test (HUT) and real-time simulation. Such a system involves a field programmable gate array (FPGA) and digital signal processor (DSP). An HIL model can bypass serious damage to the real object, reduce debugging cost, and, finally, reduce the comprehensive effort during the testing. This paper provides a historical overview of HIL simulations through different engineering challenges, i.e., within automotive, power electronics systems, and different industrial drives. Various platforms, such as National Instruments, dSPACE, Typhoon HIL, or MATLAB Simulink Real-Time toolboxes and Speedgoat hardware systems, offer a powerful tool for efficient and successful investigations in different fields. Therefore, HIL simulation practice must begin already during the university’s education process to prepare the students for professional engagements in the industry, which was also verified experimentally at the end of the paper.
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Kiesbye, Jonis, David Messmann, Maximilian Preisinger, et al. "Hardware-In-The-Loop and Software-In-The-Loop Testing of the MOVE-II CubeSat." Aerospace 6, no. 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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Zhao, Yanan, Fangjun Jiang, and Zhang Yan. "Efficient Integration for a Hardware-In-the-Loop (HIL) System." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 3, no. 1 (2010): 63–73. http://dx.doi.org/10.4271/2010-01-0665.

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KLEMBA, Tomasz, Wiesław MILEWSKI, Mariusz PIETRASZEK, and Mirosław WIJASZKA. "HARDWARE IN THE LOOP STATIONS FOR TESTING AERIAL LASER GUIDED BOMBS." PROBLEMY TECHNIKI UZBROJENIA 169, no. 2 (2024): 63–81. http://dx.doi.org/10.5604/01.3001.0054.6671.

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The article details a comprehensive simulation study on guided aerial bombs, utilizing a Hardware-in-the-Loop (HIL) station. It outlines the construction of the HIL station, the guided bomb model, and the simulation's control environment. The principle of operation of the laser seeker and the method of calculating the target observation angle are introduced. For simulation purposes, the spatial motion of the bomb was described by a system of twelve ordinary differential equations, supplemented with control laws. Subsequent tests validate the simulation models against their real-world counterparts, proving the efficacy of the HIL station in guided bomb testing. The test results make it possible to assess both the correctness of the models (especially the seeker) used in the simulation program and their real counterparts used in tests on the HIL station.
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Zamiri, Elyas, Alberto Sanchez, Marina Yushkova, Maria Sofia Martínez-García, and Angel de Castro. "Comparison of Different Design Alternatives for Hardware-in-the-Loop of Power Converters." Electronics 10, no. 8 (2021): 926. http://dx.doi.org/10.3390/electronics10080926.

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This paper aims to compare different design alternatives of hardware-in-the-loop (HIL) for emulating power converters in Field Programmable Gate Arrays (FPGAs). It proposes various numerical formats (fixed and floating-point) and different approaches (pure VHSIC Hardware Description Language (VHDL), Intellectual Properties (IPs), automated MATLAB HDL code, and High-Level Synthesis (HLS)) to design power converters. Although the proposed models are simple power electronics HIL systems, the idea can be extended to any HIL system. This study compares the design effort of different coding methods and numerical formats considering possible synthesis tools (Precision and Vivado), and it comprises an analytical discussion in terms of area and speed. The different models are synthesized as ad-hoc modules in general-purpose FPGAs, but also using the NI myRIO device as an example of a commercial tool capable of implementing HIL models. The comparison confirms that the optimum design alternative must be chosen based on the application (complexity, frequency, etc.) and designers’ constraints, such as available area, coding expertise, and design effort.
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Dissertations / Theses on the topic "Hardware-in-loop (HIL)"

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Mahmud, Akib. "Hardware in the Loop (HIL) Rig Design and Electrical Architecture." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-324661.

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Different types of machines are tested utilizing so called Hardware In the Loop simulation. To perform HIL-simulation a rig is used consisting of different types of hardware and software. Some of the hardware that are used during a simulation is located inside an EMS box. The box has not been properly updated since 2004, no documentation of changes has been made and often many errors occurs during simulations due to the lack of traceability. During this project a new structure of the EMS box has been designed with modifications to eliminate existing problems, prevent similar problems to occur in the future and improve the usability of the system. A simulation was performed on the camshaft to test if there were any improvements. Most issues were solved but there were one problem that remained. Some noises existed and were rooted in the old box which undeniably remained in the new one.
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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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Bjelevac, Salko, and Peter Karlsson. "Steering System Verification Using Hardware-in-the-Loop." Thesis, Linköpings universitet, Fordonssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119332.

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In order for leading industrial companies to remain competitive, the process of product developement constantly needs to improve. In order to shorten development time -- that is the time from idea to product -- simulations of products in-house is becoming a popular method. This method saves money and time since expensive prototypes become unnecessary. Today the calibration of steering gears is done in test vehicles by experienced test drivers. This is a time consuming process that is very costly because of expensive test vehicles. This report investigates possibilities and difficulties with transfering the calibrations from field to rig. A steering rig has been integrated with a car simulation program. Comparisons between simulation in the loop (SIL) and hardware in the loop (HIL) have been made and differences between different configurations of steering gears have been evaluated. An automatic process including calibration of parameters, testing and analysis of the test results has been implemented. The work laid the foundation of calibration of steering parameters and showed correlation between calibration parameters and objective metrics.
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Goulkhah, Mohammad (Monty). "Waveform relaxation based hardware-in-the-loop simulation." Cigre Canada, 2014. http://hdl.handle.net/1993/31012.

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This thesis introduces an alternative potentially low cost solution for hardware-in-the-loop (HIL) simulation based on the waveform relaxation (WR) method. The WR tech-nique is extended so that, without the need for a real-time simulator, the behaviour of an actual piece of physical hardware can nevertheless be tested as though it were connected to a large external electrical network. This is achieved by simulating the external network on an off-line electromagnetic transients (EMT) simulation program, and utilizing iterative exchange of waveforms between the simulation and the hardware by means of a spe-cialized Real-Time Player/Recorder (RTPR) interface device. The approach is referred to as waveform relaxation based hardware-in-the-loop (WR-HIL) simulation. To make the method possible, the thesis introduces several new innovations for stabi-lizing and accelerating the WR-HIL algorithm. It is shown that the classical WR shows poor or no convergence when at least one of the subsystems is an actual device. The noise and analog-digital converters’ quantization errors and other hardware disturbances can affect the waveforms and cause the WR to diverge. Therefore, the application of the WR method in performing HIL simulation is not straightforward and the classical WR need to be modified accordingly. Three convergence techniques are proposed to improve the WR-HIL simulation con-vergence. Each technique is evaluated by an experimental example. The stability of the WR-HIL simulation is studied and a stabilization technique is proposed to provide suffi-cient conditions for the simulation stability. The approach is also extended to include the optimization of the parameters of power system controllers located in geographically distant places. The WR-HIL simulation technique is presented with several examples. At the end of the thesis, suggestions for the future work are presented.<br>February 2016
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Israelsson, Erik. "Modellering och simulering av hydraulik för användning i hardware-in-the-loop." Thesis, Linköpings universitet, Fluida och mekatroniska system, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-78958.

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Modeling and simulation is growing ever more important in the development of new products. This thesis describes the use of Hopsan for hydraulic modeling and its use in conjunction with Simulink with the intent of using the model in a hardware-in-the-loop setup. A sensor layer has been created in Simulink to emulate all the internal sensors in a modern forklift. The details of using legacy C-code instead of a hardware MCU for a fully simulated environment, software-in-the-loop has been outlined. There are two major routes one can follow implementing software-in-the-loop, exporting the C-functions to CAPL via a export layer or creating an s-function in Simulink. Of the two the export layer method is the most promising since it is easier handling different execution times in CAPL than in Simulink.
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Janczak, John. "Implementation of a Hardware-in-the-Loop System Using Scale Model Hardware for Hybrid Electric Vehicle Development." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33881.

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Hardware-in-a-loop (HIL) testing and simulation for components and control strategies can reduce both time and cost of development. HIL testing focuses on one component or control system rather than the entire vehicle. The rest of the system is simulated by computer systems which use real time data acquisition systems to read outputs and respond like the systems in the actual vehicle would respond. The hardware for the system is on a scaled-down level to save both time and money during testing. The system designed to simulate the REVLSE Equinox split parallel hybrid consists of five direct current (DC) permanent magnet motors. These motors are used in the system to test the controller software of the vehicle. Two of the motors act as power plants simulating the spark ignited Ethanol engine and the rear traction motor. These two motors are controlled by DC variable speed controllers. The other motors are used as generators to simulate the load from the belted alternator starter (BAS) and the road load on each axle. The motors on each axle are joined together mechanically using a belt and pulley system. The front and rear axle of the system are not connected to simulate the actual vehicle where the power plants are gear-reduced before they make contact with the road and therefore do not actually spin at the same speeds. The computer software and hardware used to run the HIL hybrid system is National Instruments LabView and CompactRIO. LabView provides an easy interface through which programs for the RIO can be written. The RIO gives the user the ability to measure the power into and out of different components in the system to measure the efficiency of the system. The ability to measure system efficiencies using different powertrain inputs and loading schemes is what makes the HIL system a valuable tool in control modeling for the Equinox. LabView and the RIO allow the user to optimize the control strategy with the two power plant inputs and the BAS to make sure the high voltage system stays charged and improve the overall efficiency of the vehicle without the actual vehicle. The HIL system allows other work to be done of the vehicle during the control development. During a constant axle speed test at 730 RPM with constant generator resistance, the front engine efficiency was 33.8%, the BAS efficiency was 53.0%, the rear load generator efficiency was 51.2% and the overall efficiency of the front axle was 24.0%. These results show that the system can simulate the powertrain of a hybrid vehicle and help create and validate a control scheme.<br>Master of Science
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Acevedo, Miguel. "FPGA-Based Hardware-In-the-Loop Co-Simulator Platform for SystemModeler." Thesis, Linköpings universitet, Datorteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133413.

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This thesis proposes and implements a flexible platform to perform Hardware-In-the-Loop (HIL) co-simulation using a Field-Programmable-Gate-Array (FPGA). The HIL simulations are performed with SystemModeler working as a software simulator and the FPGA as the co-simulator platform for the digital hardware design. The work presented in this thesis consists of the creation of: A communication library in the host computer, a system in the FPGA that allows implementation of different digital designs with varying architectures, and an interface between the host computer and the FPGA to transmit the data. The efficiency of the proposed system is studied with the implementation of two common digital hardware designs, a PID controller and a filter. The results of the HIL simulations of those two hardware designs are used to verify the platform and measure the timing and area performance of the proposed HIL platform.
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Wang, Lingchang XI. "Development of a Hardware-In-the-Loop Simulator for Battery Management Systems." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397656909.

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Gordillo, Carrillo Camilo Andrés. "Estratégias para a correção dos efeitos de atraso de sistemas Hardware In the Loop (HIL)." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264974.

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Orientador: Janito Vaqueiro Ferreira<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-20T09:38:04Z (GMT). No. of bitstreams: 1 GordilloCarrillo_CamiloAndres_M.pdf: 5104981 bytes, checksum: cd95669708a4fb537590b77509d111b9 (MD5) Previous issue date: 2012<br>Resumo: O conceito de Hardware In the Loop (HIL) é bastante útil em indústrias automotivas e em indústrias espaciais, já que sistemas complexos são difíceis de se modelar. Este conceito proporciona uma grande confiabilidade aos resultados, diminui o risco de avaria dos equipamentos e dos usuários em seu funcionamento, como também uma diminuição do tempo no desenvolvimento de projetos. Tudo isto sem precisar de um orçamento elevado ou protótipos elaborados para realização de testes. Neste trabalho propõem-se duas estratégias para solucionar o problema do atraso (delay) apresentado pelo sinal de resposta nos sistemas HIL em tempo real, levando-se em conta a sequência de execução real dos processos, bem como também outros aspectos como dos sistemas de aquisição e atuação (inercia, limitações de hardware e software, tempo de amostragem). Os resultados obtidos através das estratégias propostas foram analisados e comparados com resultados numéricos em uma bancada experimental obtendo uma boa concordância eliminando o atraso na resposta<br>Abstract: The Hardware In the Loop (HIL) concept is useful in automotive and spaceship industries, because of the difficulty of modeling complex systems. This concept provides great reliability at the results, decrease the risk of damage to the equipment and to the user operation, as well as decreasing the time of projects development. All of this without requiring a high budget or developing prototypes for testing. This study propose a strategy to solve the delay problem presented by the response signal in real time HIL systems, considering a real execution sequence of the process, as well as other aspects such as in the acquisition and the actuation systems (inertia, hardware and software limitations, sample time). The results obtained through the proposed strategies was analyzed and compared with numerical results in a testing platform with excellent concordance eliminating the delay in the response<br>Mestrado<br>Mecanica dos Sólidos e Projeto Mecanico<br>Mestre em Engenharia Mecânica
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Almas, Muhammad Shoaib, Rujiroj Leelaruji, and Luigi Vanfretti. "Over-current relay model implementation for real time simulation & Hardware-in-the-Loop (HIL) validation." KTH, Elektriska energisystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118339.

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Digital microprocessor based relays are currently being utilized for safe, reliable and efficient operation of power systems. The overcurrent protection relay is the most extensively used component to safeguard power systems from the detrimental effects of faults. Wrong settings in overcurrent relay parameters can lead to false tripping or even bypassing fault conditions which can lead to a catastrophe. Therefore it is important to validate the settings of power protection equipment and to confirm its performance when subject to different fault conditions. This paper presents the modeling of an overcurrent relay in SimPowerSystems (\textsc {matlab}/Simulink). The overcurrent relay has the features of instantaneous, time definite and inverse  definite minimum time (IDMT) characteristics. A power system is modeled in SimPowerSystems and this overcurrent relay model is incorporated in the test case. The overall model is then simulated in real-time using Opal-RT's eMEGAsim real-time simulator to analyze the relay's performance when subjected to faults and with different characteristic settings in the relay model. Finally Hardware-in-the-Loop validation of the model is done by using the overcurrent protection feature in Schweitzer Engineering Laboratories Relay SEL-487E. The event reports generated by the SEL relays during Hardware-in-the-Loop testing are compared with the results obtained from the standalone testing and software model to validate the model.<br><p>QC 20130215</p>
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Books on the topic "Hardware-in-loop (HIL)"

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Tripathi, Saurabh Mani, and Francisco M. Gonzalez-Longatt, eds. Real-Time Simulation and Hardware-in-the-Loop Testing Using Typhoon HIL. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0224-8.

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Joshi, Adit. Automotive Applications of Hardware-in-the-Loop (HIL) Simulation. SAE International, 2019. http://dx.doi.org/10.4271/9781468600070.

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Joshi, Adit. Automotive Applications of Hardware-In-the-Loop (HIL) Simulation. SAE International, 2019.

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Automotive Applications of Hardware-In-the-Loop (HIL) Simulation. SAE International, 2019.

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Real-Time Simulation and Hardware-In-the-Loop Testing Using Typhoon HIL. Springer, 2024.

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Real-Time Simulation and Hardware-In-the-Loop Testing Using Typhoon HIL. Springer, 2023.

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Book chapters on the topic "Hardware-in-loop (HIL)"

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Mirfendreski, Aras. "Hardware-in-the-Loop (HiL)-Kopplung." In Entwicklung eines echtzeitfähigen Motorströmungs- und Stickoxidmodells zur Kopplung an einen HiL-Simulator. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-19329-4_4.

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Pierini, Matteo, Paolo Fusco, Rodrigo Senofieni, Matteo Corno, Giulio Panzani, and Sergio Matteo Savaresi. "Trajectory Tracking for High-Performance Autonomous Vehicles with Real-Time Model Predictive Control." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_2.

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AbstractThis work is the development of a Model Predictive Controller (MPC) for the integrated control of lateral and longitudinal dynamics of a high-performance autonomous car, which follows a given trajectory on a racetrack. The MPC model is based on an Affine-Force-Input single-track nonlinear bicycle model that accounts for actuation dynamics and delays. The MPC problem is formulated as a quadratic problem, enabling efficient real-time solution with a specific quadratic programming (QP) solver. The controller is implemented in "Image missing" and tested in a real-time hardware-in-the-loop (HIL) simulator, showing excellent tracking performance up to 280 km/h.
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Brötz, Nicolas, Manuel Rexer, and Peter F. Pelz. "Mastering Model Uncertainty by Transfer from Virtual to Real System." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_4.

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AbstractTwo chassis components were developed at the Technische Universität Darmstadt that are used to isolate the body and to reduce wheel load fluctuation.The frequency responses of the components were identified with a stochastic foot point excitation in a hardware-in-the-loop (HiL) simulation environment at the hydropulser. The modelling of the transmission behaviour influence of the testing machine on the frequency response was approximately represented with a time delay of $$10\,\mathrm {ms}$$ 10 ms in the frequency range up to $$25\,\mathrm {Hz}$$ 25 Hz . This is considered by a Padé approximation. It can be seen that the dynamics of the testing machine have an influence on the wheel load fluctuation and the body acceleration, especially in the natural frequency of the unsprung mass. Therefor, the HiL stability is analysed by mapping the poles of the system in the complex plane, influenced by the time delay and virtual damping.This paper presents the transfer from virtual to real quarter car to quantify the model uncertainty of the component, since the time delay impact does not occur in the real quarter car test rig. The base point excitation directly is provided by the testing machine and not like in the case of the HiL test rig, the compression of the spring damper calculated in the real-time simulation.
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Panchi-Chanatasig, E., W. Tumbaco-Quinatoa, J. Llanos-Proaño, and D. Ortiz-Villalba. "Design of a Model Based Predictive Control (MPC) Strategy for a Desalination Plant in a Hardware in the Loop (HIL) Environment." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24971-6_21.

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Hariharan, R., and M. Deva Darshanam. "Hardware in the Loop (HIL) Implemented for an Investigation to Unity Input Power Factor in Presence of Permanent Magnet Synchronous Motor Drive." In Power Energy and Secure Smart Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003661917-47.

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Yue, Changxi, Yufeng Sun, Jicheng Yu, Siyuan Liang, Boyang Ma, and Shengzhong Liu. "A High-Precision Measurement Method for Lithium-Ion Batteries Based on Aging Trajectory Transfer and Hardware-in-the-Loop Simulation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4856-6_13.

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Abstract Accurate measurement of the state of charge (SOC) in lithium-ion batteries is crucial for battery management systems in electric vehicles and fair transactions at battery swapping stations. However, battery aging leads to nonlinear variations in capacity and internal resistance, posing challenges for precise SOC estimation. To address this issue, this paper proposes a high-precision measurement method based on aging trajectory transfer and hardware-in-the-loop (HIL) simulation. Firstly, a two-stage aging trajectory transfer prediction model is established, utilizing aging data from standard batteries to predict the capacity degradation trajectory of the target battery. Factors such as temperature and current are incorporated to enhance prediction accuracy. Subsequently, the predicted aging trajectory is introduced into a PHIL simulation platform to update battery model parameters in real-time, simulating the charging and discharging characteristics of the battery under different aging states. Experimental results demonstrate that this method can effectively predict battery aging trajectories and achieve high-precision SOC measurement. The model accurately quantifies the capacity degradation from 734.63 mAh to 558.24 mAh, a decrease of 24.01%, along with the decline rate of open-circuit voltage and charging time, contributing to high-precision measurement and fair transactions for lithium-ion batteries.
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Pohlkötter, Fabian J., Dominik Straubinger, Alexander M. Kuhn, Christian Imgrund, and William Tekouo. "Unlocking the Potential of Digital Twins." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_18.

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AbstractIncreasing competitive pressure is confronting the automotive industry with major challenges. As a result, conventional reactive maintenance is being transformed into predictive maintenance. In this context, wearing and aging effects no longer lead to plant failure since they are predicted at an earlier stage based on comprehensive data analysis.Furthermore, the evolution towards Smart Factory has given rise to virtual commissioning in the planning phase of production plants. In this process, a Hardware-in-the-Loop (HiL) system combines the real controls (e.g., PLC) and a virtual model of the plant. These HiL systems are used to simulate commissioning activities in advance, thus saving time and money during actual commissioning. The resulting complex virtual models are not further used in the series production.This paper builds upon virtual commissioning models to develop a Digital Twin, which provides inputs for predictive maintenance. The resulting approach is a methodology for building a hybrid predictive maintenance system. A hybrid prediction model combines the advantages of data-driven and physical models. Data-driven models analyse and predict wearing patterns based on real machine data. Physical models are used to reproduce the behaviour of a system. From the simulation of the hybrid model, additional insights for the predictions can be derived.The conceptual methodology for a hybrid predictive maintenance system is validated by the successful implementation in a bottleneck process of the electric engine production for an automotive manufacturer. Ultimately, an outlook on further possible applications of the hybrid model is presented.
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Jha, Pramod Kumar, Chander Shekhar, and L. Sobhan Kumar. "Visual Simulation Application for Hardware In-Loop Simulation (HILS) of Aerospace Vehicles." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13728-5_53.

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Röck, Sascha, and Günter Pritschow†. "Anforderungen und Methoden für die Hardware-in-the-Loop Simulation zur Virtuellen Inbetriebnahme von Produktionssystemen." In Echtzeitsimulation in der Produktionsautomatisierung. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-66217-5_2.

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ZusammenfassungHoher Wettbewerbsdruck und kurze Produktentwicklungszyklen erfordern den Einsatz hochgradig automatisierter und dadurch komplexer Produktionsanlagen. Zur Beherrschbarkeit dieser Komplexität kommen moderne Steuerungssysteme zum Einsatz, deren Funktionalität häufig erst an der realen Anlage getestet werden kann. Eine gängige Methode um frühzeitig Steuerungsfunktionen virtuell testen und in Betrieb nehmen zu können, ist die Hardware-in-the-Loop Simulation (HiLS). Dabei wird die reale Steuerung (Hardware) mit einer echtzeitfähigen Anlagensimulation gekoppelt und gegen das virtuelle Anlagenverhalten getestet. Dieser Beitrag erläutert einige Grundlagen und Herausforderungen für den Einsatz einer HiLS zur Virtuellen Inbetriebnahme von realen Steuerungssystemen.
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Prasad, M. V. K. S., Sreehari Rao Patri, and Jagannath Nayak. "Actuation System Simulation and Validation in Hardware in Loop Simulation (HILS) for an Aerospace Vehicle." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24318-0_23.

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Conference papers on the topic "Hardware-in-loop (HIL)"

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Galang, Jess, Federico Bertoldi, and Wei Hua. "Hardware-in-the-Loop (HIL) Digital Twin for Power from Shore." In 2024 PCIC Energy Europe (PCIC Energy). IEEE, 2024. http://dx.doi.org/10.23919/pcicenergy62009.2024.10638167.

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Roy, Rahul, and Parag Jose C. "Electric Vehicle Traction Motor Hardware in Loop (HIL) Regulation for Adaptive Cruise Control Scenario." In 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET). IEEE, 2024. http://dx.doi.org/10.1109/sefet61574.2024.10718251.

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Suryanti, Desti Ika, Prawito Prajitno, Mohammad Mukhayadi, Eriko Nasemudin Nasser, Rifki Ardinal, and Budhy Kurniawan. "Hardware-in-the-Loop (HIL) Test of Lithium-Ion Battery Module For Small Satellite." In 2024 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES). IEEE, 2024. https://doi.org/10.1109/icares64249.2024.10768017.

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Djabin, Jakub, Maciej Kurenda, Jakub Kochan, Konrad Wojtowicz, Przemysław Wojciechowski, and Adam Marut. "Scalable Hardware in the Loop (HIL) System for Real-Time Swarm Drone Control Simulation." In 2024 IEEE International Workshop on Technologies for Defense and Security (TechDefense). IEEE, 2024. https://doi.org/10.1109/techdefense63521.2024.10863036.

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Song, Eugene Y., and Kang B. Lee. "Hardware-In-The-Loop (HIL) Simulation-based Interoperability Testing Method of Smart Sensors in Smart Grids." In 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE, 2024. http://dx.doi.org/10.1109/icps59941.2024.10640022.

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Alvarez, Genesis B., Patrick Doss, Ibukunoluwa O. Korede, Lionel W. Brookins, John Grimes, and Biqi Wang. "Hardware-in-the-Loop (HIL) Validation for DER Protection Model Executed in Dominion Energy Training Program." In 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC). IEEE, 2024. http://dx.doi.org/10.1109/pvsc57443.2024.10749679.

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Fayad, Mohamed E., Louis J. Hawn, Mark A. Roberts, Jay W. Schooley, and Wei-Tek Tsai. "Hardware-In-the-Loop (HIL) simulation." In the conference. ACM Press, 1992. http://dx.doi.org/10.1145/143557.143716.

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Ferreira, Flávio Fabrício V. M., Rafael Vieira, Roberto Costa, Rafael Santos, Marcelo Moret, and Thiago B. Murari. "Data-Driven Hardware-in-the-Loop (HIL) Testing Prioritization." In 2020 SAE Brasil Congress & Exhibition. SAE International, 2021. http://dx.doi.org/10.4271/2020-36-0140.

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Krama, Abdelbasset, and Mohamed Gharib. "Hardware-in-the-Loop Simulation for Large-Scale Applications." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70914.

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Abstract The hardware-in-the-loop (HIL) testing methodology has recently gained wide acceptance from the scientific community worldwide, as it allows virtual or actual components of a complex system to be implemented and tested together with the controller in a real-time environment. In this paper, three different case studies are investigated to show the use of the HIL testing methodology in different disciplines. In the first case study, a shunt active power filter for power quality improvement in a distribution network is presented and investigated using the HIL methodology. In the first case study, a HIL platform for drill string system control has also been developed and its operational principle and hardware components are explained. In the third case study, a HIL testing platform was developed for high power induction motor driving drill string system, in which the drill string is studied together with the induction motor and a variable frequency drive to match real-world case scenarios. A variety of tests were performed to provide a comprehensive study on the effectiveness of the HIL testing platform on different applications that take advantage of state-of-the-art real-time simulators. The presented HIL infrastructure can be extended to accommodate different studies on other electromechanical systems.
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Shylla, Dapynhunlang, Ayushi Jain, Pritesh Shah, and Ravi Sekhar. "Model in Loop (MIL), Software in Loop (SIL) and Hardware in Loop (HIL) Testing in MBD." In 2023 4th IEEE Global Conference for Advancement in Technology (GCAT). IEEE, 2023. http://dx.doi.org/10.1109/gcat59970.2023.10353323.

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