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Journal articles on the topic 'Hardware-in-the-Loop'

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Author: Grafiati

Published: 4 June 2021

Last updated: 8 June 2024

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1

Lee, Wonkyun, Chan-Young Lee, Joo-Yeong Kim, Chang Kyu Song, and Byung-Kwon Min. "Hardware-in-the-loop Simulation of CNC-controlled Feed Drives." Journal of the Korean Society for Precision Engineering 32, no. 5 (May 1, 2015): 447–54. http://dx.doi.org/10.7736/kspe.2015.32.5.447.

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2

Park, Ji-Myoung, Won-Kyung Ham, Min-Suk Ko, and Sang-Chul Park. "Hardware-In-the-Loop Simulation of ECU using Reverse Engineering." Journal of the Korea Society for Simulation 25, no. 1 (March 31, 2016): 35–43. http://dx.doi.org/10.9709/jkss.2016.25.1.035.

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3

Bullock, Darcy, Brian Johnson, Richard B. Wells, Michael Kyte, and Zhen Li. "Hardware-in-the-loop simulation." Transportation Research Part C: Emerging Technologies 12, no. 1 (February 2004): 73–89. http://dx.doi.org/10.1016/j.trc.2002.10.002.

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4

Schneeweiss, Bernhard, and Philipp Teiner. "HARDWARE-IN-THE-LOOP-SIMULATION." ATZextra 15, no. 6 (May 2010): 76–79. http://dx.doi.org/10.1365/s35778-010-0429-6.

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5

Jo, BongEon, and Young Sam Lee. "Development of a Hardware-in-the-Loop Simulator for BLDC Motor Driving Using Microcontroller." Journal of Institute of Control, Robotics and Systems 24, no. 12 (December 31, 2018): 1101–10. http://dx.doi.org/10.5302/j.icros.2018.18.0181.

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6

Han, Jaesu, Jaeyoung Han, and Sangseok Yu. "Emulation of Thermal Energy Generation of Fuel Cell Stack via Hardware in Loop Simulation." Transactions of the Korean Society of Mechanical Engineers - B 42, no. 11 (November 30, 2018): 735–44. http://dx.doi.org/10.3795/ksme-b.2018.42.11.735.

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7

Choi, Jin-Suk, and Young-Sam Lee. "The Implementation of a Hardware-In-The-Loop Simulator for an Inverted Pendulum System Using Open-Source Hardware." Journal of Institute of Control, Robotics and Systems 23, no. 2 (February 28, 2017): 117–25. http://dx.doi.org/10.5302/j.icros.2017.17.0002.

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8

Yi, Kyong-Su, and Chan-Kyu Lee. "An Investigation of Vehicle-to-Vehicle Distance Control Laws Using Hardware-in-the Loop Simulation." Transactions of the Korean Society of Mechanical Engineers A 26, no. 7 (July 1, 2002): 1401–7. http://dx.doi.org/10.3795/ksme-a.2002.26.7.1401.

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9

Thanagasundram, Suguna, Ross McMurran, Alexandros Mouzakitis, Christian Matthews, and Peter Jones. "Reconfigurable Hardware-in-the-Loop Simulator." Measurement and Control 43, no. 9 (November 2010): 273–77. http://dx.doi.org/10.1177/002029401004300902.

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10

Yoo, Hyeong-Jun, and Hak-Man Kim. "Islanded Microgrid Simulation using Hardware-in-the Loop Simulation (HILS) System based on OPAL-RT." Transactions of The Korean Institute of Electrical Engineers 62, no. 4 (April 1, 2013): 566–72. http://dx.doi.org/10.5370/kiee.2013.62.4.566.

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11

Pogorzelski, Tomasz. "Methods of rapid prototyping for mobile robots with feedback using methodology hardware in the loop." Mechanik, no. 7 (July 2015): 565/695–565/700. http://dx.doi.org/10.17814/mechanik.2015.7.286.

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12

Choi, Eunyeong, and Hyunjin Ji. "Optimal Ccontrol Strategy of Cooling System for Polymer Electrolyte Membrane Fuel Cell using Hardware-In-the-Loop Simulation." Journal of Energy Engineering 25, no. 1 (March 31, 2016): 113–21. http://dx.doi.org/10.5855/energy.2015.25.1.113.

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13

Zheng, Hongyun, Xianghu Wu, and Yongchao Tao. "SystemC hardware in the loop simulation scheme." IOP Conference Series: Materials Science and Engineering 768 (March 31, 2020): 072029. http://dx.doi.org/10.1088/1757-899x/768/7/072029.

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14

Miklós, Ákos, Dániel Bachrathy, Richárd Wohlfart, Dénes Takács, Gábor Porempovics, András Tóth, and Gábor Stépán. "Hardware-in-the-loop experiment of turning." Procedia CIRP 77 (2018): 675–78. http://dx.doi.org/10.1016/j.procir.2018.08.179.

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15

Weber, Mathias, and Hermann Naredi-Rainer. "Modularisierung von Hardware-in-the-Loop-Systemen." ATZextra 18, no. 2 (May 2013): 86–89. http://dx.doi.org/10.1365/s35778-013-0026-6.

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16

Schulze, Tino, Markus Plöger, and Matthias Deter. "Hardware-in-the-Loop-Simulation Elektrischer Antriebskomponenten." MTZ - Motortechnische Zeitschrift 73, no. 12 (November 14, 2012): 976–83. http://dx.doi.org/10.1007/s35146-012-0528-6.

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17

Himmler, Andreas. "Modular, scalable hardware-in-the-loop systems." ATZelektronik worldwide 5, no. 2 (April 2010): 36–39. http://dx.doi.org/10.1007/bf03242263.

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18

James, Adrian, Matthias Rudolph, Jürgen Gehring, and Thomas Pöhlmann. "Hardware-in-the-Loop bei Audi-Antriebssträngen." ATZ - Automobiltechnische Zeitschrift 104, no. 4 (April 2002): 340–46. http://dx.doi.org/10.1007/bf03224400.

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19

Yoo, Hyeong-Jun, Nam-Dae Kim, and Hak-Man Kim. "Implementation and Test of 3-level NPC VSC-HVDC System using Hardware-in-the-Loop Simulation." Transactions of The Korean Institute of Electrical Engineers 63, no. 3 (March 1, 2014): 343–48. http://dx.doi.org/10.5370/kiee.2014.63.3.343.

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20

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

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21

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

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22

James, Adrian, Matthias Rudolph, Jürgen Gehring, and Thomas Pöhlmann. "Hardware-in-the-loop in powertrains from Audi." ATZ worldwide 104, no. 4 (April 2002): 11–13. http://dx.doi.org/10.1007/bf03224552.

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23

Park, Jae-Ik, Han-Earl Park, Sun-Hwa Shim, Sang-Young Park, and Kyu-Hong Choi. "A Preliminary Development of Real-Time Hardware-in-the-Loop Simulation Testbed for the Satellite Formation Flying Navigation and Orbit Control." Journal of Astronomy and Space Sciences 26, no. 1 (March 15, 2009): 99–110. http://dx.doi.org/10.5140/jass.2009.26.1.099.

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24

Chantranuwathana, Sunhapos, Ratchatin Chancharoen, Witaya Wannasuphoprasit, Angkee Sripakagorn, and Nuksit Noomwongs. "Tire-Suspension-Steering Hardware-in-the-Loop Simulation." Engineering Journal 22, no. 5 (September 30, 2018): 199–212. http://dx.doi.org/10.4186/ej.2018.22.5.199.

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25

Sala, A., and J. Bondia. "TEACHING EXPERIENCE WITH HARDWARE-IN-THE-LOOP SIMULATION." IFAC Proceedings Volumes 39, no. 6 (2006): 123–28. http://dx.doi.org/10.3182/20060621-3-es-2905.00023.

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26

Spiryagin, Maksym, and Colin Cole. "Hardware-in-the-loop simulations for railway research." Vehicle System Dynamics 51, no. 4 (April 2013): 497–98. http://dx.doi.org/10.1080/00423114.2013.777495.

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27

Nentwig, Mirko, Reinhard Schieber, and Maximilian Miegler. "Hardware-in-the-Loop-Test für Vernetzte FahrerassistenzSystemePsychologie." ATZelektronik 6, no. 4 (August 2011): 20–25. http://dx.doi.org/10.1365/s35658-011-0057-y.

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28

Rühl, Martin, and Björn Müller. "Neues Softwarekonzept für Hardware-in-the-Loop-Systeme." ATZelektronik 6, no. 6 (December 2011): 58–63. http://dx.doi.org/10.1365/s35658-011-0103-9.

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29

Brückner, Constantin, and Bettina Swynnerton. "Busbasiertes Architekturkonzept für Hardware-in-the-Loop-Prüfstände." ATZelektronik 9, no. 3 (May 27, 2014): 52–56. http://dx.doi.org/10.1365/s35658-014-0430-8.

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30

Caraceni, A., G. Di Mare, F. Ferrara, S. Scala, and E. Sepe. "HARDWARE IN THE LOOP TESTING OF EOBD STRATEGIES." IFAC Proceedings Volumes 35, no. 1 (2002): 199–204. http://dx.doi.org/10.3182/20020721-6-es-1901.01501.

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31

Pritschow, G., and S. Röck. "“Hardware in the Loop” Simulation of Machine Tools." CIRP Annals 53, no. 1 (2004): 295–98. http://dx.doi.org/10.1016/s0007-8506(07)60701-x.

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32

Hillenbrand, Stefan, and Madhukar Pandit. "Hardware-in-the-Loop-Simulation of Pneumatic Actuators." IFAC Proceedings Volumes 31, no. 27 (September 1998): 31–36. http://dx.doi.org/10.1016/s1474-6670(17)40001-2.

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33

Cikanek, S. R., N. Sureshbabu, and J. Blankenship. "Regenerative Braking Development Using Hardware-in-the-Loop." IFAC Proceedings Volumes 33, no. 26 (September 2000): 169–72. http://dx.doi.org/10.1016/s1474-6670(17)39139-5.

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34

Gehlen, Manuel, Vartan Kurtcuoglu, and Marianne Daners. "Hardware-in-the-loop testing of CSF shunts." Fluids and Barriers of the CNS 12, Suppl 1 (2015): O2. http://dx.doi.org/10.1186/2045-8118-12-s1-o2.

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35

Todić, Ivana, and Vladimir Kuzmanović. "Hardware in the loop simulation for homing missiles." Materials Today: Proceedings 12 (2019): 514–20. http://dx.doi.org/10.1016/j.matpr.2019.03.157.

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36

Köhl, Susanne, Daniel Lemp, and Markus Plöger. "Steuergeräte-Verbundtests mittels Hardware-in-the-Loop-Simulation." ATZ - Automobiltechnische Zeitschrift 105, no. 10 (October 2003): 948–55. http://dx.doi.org/10.1007/bf03221590.

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37

Wältermann, Peter, Herbert Schütte, and Klaus Diekstall. "Hardware-in-the-Loop-Test verteilter Kfz-Elektroniksysteme." ATZ - Automobiltechnische Zeitschrift 106, no. 5 (May 2004): 416–25. http://dx.doi.org/10.1007/bf03221625.

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38

Apold, Dieter, Olaf Moseler, Peter Prystupa, and Marc Schiffer. "Hardware-in-the-Loop-Prüfstandstechnik Antriebsstrangprüfstand für Doppelkupplungssysteme." ATZ - Automobiltechnische Zeitschrift 106, no. 6 (June 2004): 538–45. http://dx.doi.org/10.1007/bf03221634.

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39

Schulze, Tino, Markus Plöger, and Matthias Deter. "Hardware-in-the-Loop Simulation of Electrified Powertrains." MTZ worldwide 73, no. 12 (November 9, 2012): 38–42. http://dx.doi.org/10.1007/s38313-012-0250-2.

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40

Miegler, Maximilian, Reinhard Schieber, Andreas Kern, Thomas Ganslmeier, and Mirko Nentwig. "Hardware-in-the-Loop-Test von vorausschauenden Fahrerassistenzsystemen." ATZelektronik 4, no. 5 (September 2009): 14–19. http://dx.doi.org/10.1007/bf03223975.

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41

Himmler, Andreas. "Modulare und skalierbare Hardware-in-the-Loop-Systeme." ATZelektronik 5, no. 2 (April 2010): 52–57. http://dx.doi.org/10.1007/bf03224004.

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42

Zhang, Duo, Manguo Liu, Guocai Dong, and Simin Cheng. "Design of Hardware-in-the-loop Simulation System for Image-guided Missiles." Journal of Physics: Conference Series 2478, no. 2 (June 1, 2023): 022025. http://dx.doi.org/10.1088/1742-6596/2478/2/022025.

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Abstract This paper introduces a design method of a hardware-in-the-loop simulation system applied to a certain type of image-guided missile. By studying the characteristics of a certain type of image-guided missile, the working principle of the image-guidance system is analyzed, the mathematical simulation scheme and the hardware-in-the-loop simulation scheme are designed, and the working mechanism of RTX is analyzed. Established a real-time hardware-in-the-loop simulation system based on RTX+Windows, analyzed the delay of the simulation computer, the simulated launch control computer, the flight motion simulator and the image simulator, and finally integrated the flight data and missed target amount of the hardware-in-the-loop simulation test, and obtained the hardware-in-the-loop simulation system meets the requirements.

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43

Miller, Chad N., and Michael Boyd. "Utilizing Behavioral Models in Experimental Hardware-in-the-Loop." SAE International Journal of Aerospace 9, no. 1 (September 20, 2016): 128–33. http://dx.doi.org/10.4271/2016-01-2042.

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44

Veraszto, Zsolt, and Gabor Stepan. "Hardware-in-the-loop Experiments in Presence of Delay." Procedia IUTAM 22 (2017): 24–30. http://dx.doi.org/10.1016/j.piutam.2017.08.005.

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45

Kiesbye, Jonis, David Messmann, Maximilian Preisinger, Gonzalo Reina, Daniel Nagy, Florian Schummer, Martin Mostad, Tejas Kale, and Martin Langer. "Hardware-In-The-Loop and Software-In-The-Loop Testing of the MOVE-II CubeSat." Aerospace 6, no. 12 (December 1, 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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46

Shan, Jinjun, and Piotr Wenderski. "Hardware-in-the-Loop Simulation for Spacecraft Formation Flying." Journal of Control Science and Engineering 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/572526.

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This paper presents a hardware-in-the-loop (HITL) simulation approach for multiple spacecraft formation flying. Considering a leader-follower formation flying configuration, a Fuzzy Logic controller is developed first to maintain the desired formation shape under external perturbations and the initial position offsets. Cold-gas on/off thrusters are developed to be introduced to the simulation loop, and the HITL simulations are conducted to validate the effectiveness of the proposed simulation configuration and Fuzzy Logic control.

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47

Kikusato, Hiroshi, Taha Selim Ustun, Masaichi Suzuki, Shuichi Sugahara, Jun Hashimoto, Kenji Otani, Kenji Shirakawa, Rina Yabuki, Ken Watanabe, and Tatsuaki Shimizu. "Microgrid Controller Testing Using Power Hardware-in-the-Loop." Energies 13, no. 8 (April 20, 2020): 2044. http://dx.doi.org/10.3390/en13082044.

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Required functions of a microgrid become divers because there are many possible configurations that depend on the location. In order to effectively implement the microgrid system, which consists of a microgrid controller and components with distributed energy resources (DERs), thorough tests should be run to validate controller operation for possible operating conditions. Power-hardware-in-the-loop (PHIL) simulation is a validation method that allows different configurations and yields reliable results. However, PHIL configuration for testing the microgrid controller that can evaluate the communication between a microgrid controller and components as well as the power interaction among microgrid components has not been discussed. Additionally, the difference of the power rating of microgrid components between the deployment site and the test lab needs to be adjusted. In this paper, we configured the PHIL environment, which integrates various equipment in the laboratory with a digital real-time simulation (DRTS), to address these two issues of microgrid controller testing. The test in the configured PHIL environment validated two main functions of the microgrid controller, which supports the diesel generator set operations by controlling the DER, regarding single function and simultaneously activated multiple functions.

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48

Schneider, Roland, and Mathias Rudolph. "Modellierung einer Spritzgießmaschine zur Hardware-in-the-Loop-Simulation." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 104, no. 11 (November 28, 2009): 1032–38. http://dx.doi.org/10.3139/104.110192.

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49

Wang, Jian, and Yu Zhu. "A Hardware-in-the-Loop V2X Simulation Framework: CarTest." Sensors 22, no. 13 (July 3, 2022): 5019. http://dx.doi.org/10.3390/s22135019.

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Vehicle to Everything (V2X) technology is fast evolving, and it will soon transform our driving experience. Vehicles employ On-Board Units (OBUs) to interact with various V2X devices, and these data are used for calculation and detection. Safety, efficiency, and information services are among its core uses, which are currently in the testing stage. Developers gather logs during the real field test to see if the application is fair. Field testing, on the other hand, has low efficiency, coverage, controllability, and stability, as well as the inability to recreate extreme hazardous scenarios. The shortcomings of actual road testing can be compensated for by indoor testing. An HIL-based laboratory simulation test framework for V2X-related testing is built in this study, together with the relevant test cases and a test evaluation system. The framework can test common applications such as Forward Collision Warning (FCW), Intersection Collision Warning (ICW) and others, as well as more advanced features such as Cooperative Adaptive Cruise Control (CACC) testing and Global Navigation Satellite System (GNSS) injection testing. The results of the tests reveal that the framework (CarTest) has reliable output, strong repeatability, the capacity to simulate severe danger scenarios, and is highly scalable, according to this study. Meanwhile, for the benefit of researchers, this publication highlights several relevant HIL challenges and solutions.

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50

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 (October 13, 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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