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Journal articles on the topic 'Software-in-the-Loop Simulation'

Author: Grafiati

Published: 27 June 2021

Last updated: 12 February 2022

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1

Ben Ayed, M., L. Zouari, and M. Abid. "Software In the Loop Simulation for Robot Manipulators." Engineering, Technology & Applied Science Research 7, no. 5 (October 19, 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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2

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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3

Buzdalov, Denis. "Simulation of AADL models with software-in-the-loop execution." ACM SIGAda Ada Letters 36, no. 2 (May 10, 2017): 49–53. http://dx.doi.org/10.1145/3092893.3092902.

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4

Thi Nguyen, Ha, Guangya Yang, Arne Hejde Nielsen, Peter Højgaard Jensen, and Carlos F. M. Coimbra. "Control parameterisation for POD via software-in-the-loop simulation." Journal of Engineering 2019, no. 18 (July 1, 2019): 4864–68. http://dx.doi.org/10.1049/joe.2018.9331.

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5

Xiang Chen, Meranda Salem, Tuhin Das, and Xiaoqun Chen. "Real Time Software-in-the-Loop Simulation for Control Performance Validation." SIMULATION 84, no. 8-9 (August 2008): 457–71. http://dx.doi.org/10.1177/0037549708097420.

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6

Zhao, Zhang Le, You Bing Zhang, and Jun Qi. "Dynamic Simulation for Grid-Connected Inverters of Distributed Generation Based on DIgSILENT Software." Applied Mechanics and Materials 291-294 (February 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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7

Alonso-Eugenio, Victor, Victor Guerra, Santiago Zazo, and Ivan Perez-Alvarez. "Software-in-Loop Simulation Environment for Electromagnetic Underwater Wireless Sensor Networks over STANAG 5066 Protocol." Electronics 9, no. 10 (October 1, 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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8

Kychkin, Aleksey, and 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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9

Kwon, Wook Hyun, Seong-Gyu Choi, and Ki Baek Kim. "Network-based software-in-the-loop simulation for real-time control system." IFAC Proceedings Volumes 32, no. 2 (July 1999): 6047–52. http://dx.doi.org/10.1016/s1474-6670(17)57032-9.

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10

Chowdhury, Sharmin-E.-Shams, Aleksandar Stevanovic, and 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, no. 18 (July 1, 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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11

Zhang, Zhe, Jie Li, and Wencui Guo. "Combined simulation of heavy truck stability under sudden and discontinuous direction change of crosswind with computational fluid dynamics and multi-body system vehicle dynamics software." Advances in Mechanical Engineering 10, no. 7 (July 2018): 168781401878636. http://dx.doi.org/10.1177/1687814018786364.

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The method of yaw model is used to establish aerodynamic property of heavy truck in computational fluid dynamics and wind tunnel test. A model of multi-body system simulation for heavy truck is built based on design and measure data from body, driving system, steering system, braking system, and powertrain system with TruckSim. Aerodynamic reference point of Society of Automotive Engineers (SAE) and aerodynamic coefficients are as the interface to integrate computational fluid dynamics and multi-body system simulation. A sudden and discontinuous direction change of crosswind is set up in multi-body system simulation, and dynamic performance of the heavy truck is performed by open-loop and closed-loop simulation. Under the given simulation case, lateral offset of the truck for open-loop simulation is 1.55 m and more than that for closed-loop simulation; the roll rate range of both simulations is −1.49°/s to 1.695°/s, the range of lateral acceleration is −0.497 m/s2 to 0.447 m/s2 in open-loop simulation, the range of lateral acceleration is −0.467 m/s2 to 0.434 m/s2 in closed-loop simulation; the range of yaw rate is −1.36°/s to 1.284°/s in open-loop simulation, the range of yaw rate is −0.703°/s to 0.815°/s in closed-loop simulation. The results show that combined simulation of the heavy truck stability can be completed by computational fluid dynamics and multi-body system software under sudden and discontinuous direction change of crosswind.

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12

Zhang, Qian. "GMSK Modulation Design in General Hardware-in-the-Loop Communication Simulator." Applied Mechanics and Materials 182-183 (June 2012): 602–5. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.602.

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Hardware-in-the-loop communication equipment simulation is an important step of the development about communications and electromagnetic environment simulation. Reference to the "software radio" design thinking, the source library is generated by the software and different communication signals are generated by the fixed hardware frame. The system achieves “versatility”. GMSK in wireless communications has been widely applied. It is one of the important signals generated by the simulator. Based on analysis of the structure, the paper introduces the design of the simulator. It also provides the software simulation of Matlab. It provides a reference simulation for communications equipment and electromagnetic environment simulation.

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13

Zhang, Lan Ying, Hai Yang Liu, and Hong Yin Du. "Research on the Third-Order Software Phase Locked Loop for Carrier Tracking." Advanced Materials Research 756-759 (September 2013): 2192–96. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2192.

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The mathematic model of third-order software phase locked loop formed by three-parameter loop filter is analyzed and designed. Then, in order to solve the problem of redundancy frequency analysis bandwidth when carrier tracking, a variable data ratio software phase locked loop is studied. Finally, the method is simulated and analyzed. The simulation results demonstrate that the software phase locked loop with variable data ratio can effectively reduce the operation capacity and improve the management efficiency of the software phase locked loop.

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14

Castro, Davi Ferreira de, and Davi Antonio dos Santos. "A Software-in-the-Loop Simulation Scheme for Position Formation Flight of Multicopters." Journal of Aerospace Technology and Management 8, no. 4 (October 30, 2016): 431–40. http://dx.doi.org/10.5028/jatm.v8i4.612.

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15

Mansoor, Shoaib, and Mana Saedan. "Software-in-the-loop simulation of a quadcopter portion for hybrid aircraft control." IOP Conference Series: Materials Science and Engineering 297 (January 2018): 012044. http://dx.doi.org/10.1088/1757-899x/297/1/012044.

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16

Wang, He Fei, Jian Wen Wu, and Yuan Jiang. "Research of Synthesis Loop Experiment Simulation System." Advanced Materials Research 816-817 (September 2013): 739–42. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.739.

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To save the experiments cost of verifying the synchronous control systems performance, a set of synthesis loop experiment simulation system is designed in this paper. Firstly, on the basis of analysis the working principle of the synthesis loop, the components used for the various parts of the synthesis loop simulation system are designed. Secondly, according to the characteristics of the two experimental loop, Will experiment, High-Closing experiment, circuit diagrams are designed respectively, software is debugged, and finally get the simulation system which meet the requirements.

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17

Chen, Guang Feng, Qing Qing Li, Hao Chun Sun, and Wei Bin Wang. "Study on 2D Simulation Algorithm and Implementation for Loop Pile Tufted Carpet." Advanced Materials Research 179-180 (January 2011): 651–56. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.651.

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To preview of the final appearance of tufted carpet, this paper devises a solution to simulate the color appearance of tufted carpet. The simulation adopts color blocks to represent a single loop pile in carpet surface, through resizing color block size to simulate the extrusion between loop piles. The solution starts from traversing the control pattern to get the pile height level information. Base on the current and surrounded loop piles height level to infer the size and start point of color block for current loop pile. According to patterns’ information to generate the color appearance simulation for loop pile tufted carpet. Base on the proposed simulation, devise the frame work and control logic for simulation software, and developed the simulation software with C++. Simulation test is carried out, the result shows the method can effectively generate carpet color appearance simulation for tufted carpet comprising of multicolor yarns.

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18

Zhao, Xiao Hua, Chen Chen, and Jian Rong. "Evaluation of Signal Control Strategy Based on Hardware-in-the-Loop." Applied Mechanics and Materials 505-506 (January 2014): 1122–26. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.1122.

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To evaluate the performance of different signal control strategies in intersection, based on the Hardware-In-The-Loop (HITL) simulation technology, a HITL system was established to perform experiment. In the system, microscopic traffic simulation software VISSIM created a virtual environment, in which the traffic flow can be controlled by the real signal controller. One type of intersection and four degrees of traffic volume were designed in the simulation program and three control strategies were set in the signal controller. Twelve simulations were performed in the system. The analysis of travel time and queuing length indicates that different strategies has remarkable influence on travel time, but no significant effect on queuing length.

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19

Horváth, Márton Tamás, Qiong Lu, Tamás Tettamanti, Árpád Török, and Zsolt Szalay. "Vehicle-In-The-Loop (VIL) and Scenario-In-The-Loop (SCIL) Automotive Simulation Concepts from the Perspectives of Traffic Simulation and Traffic Control." Transport and Telecommunication Journal 20, no. 2 (April 1, 2019): 153–61. http://dx.doi.org/10.2478/ttj-2019-0014.

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Abstract As highly automated and autonomous vehicles (AVs) become more and more widespread, inducing the change of traffic dynamics, significant changes occur in traditional traffic control. So far, automotive testing has been done mostly in real-world or pure virtual simulation environment. However, this practice is quite obsolete as testing in real traffic conditions can be quite costly, moreover purely simulation based testing might be inadequate for specific goals. Accordingly, a hybrid concept of the Vehicle-inthe-Loop (ViL) was born recently, in accordance with the Hardware-in-the-Loop concept, i.e. in the ViL concept the vehicle is the 'hardware' within the simulation loop. Furthermore, due to the development of software capabilities, a novel approach, the Scenarioin-the-Loop (SciL) concept evolves based on the ViL approach. The paper defines the main purposes and conditions related to implementing ViL and SciL concepts from the perspective of traffic simulation and traffic control.

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20

Zhang, Guo Lei, Xiang Dong Jin, Zhan Zhao, and Zhi Jun Shi. "The Research of Marine Nuclear Power Two Loop Simulation Software Based on the Thermal System Analysis." Advanced Materials Research 983 (June 2014): 288–91. http://dx.doi.org/10.4028/www.scientific.net/amr.983.288.

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To study of Nuclear power simulation software's basic functions and mathematical model based on thermal analysis. Describes the two-phase flow model of GSE software superiority, as well as the software optimization program .Use of software tools for normal operating conditions of the simulation calculation and analysis of the results. Comparison with design data shows that,the software use in marine nuclear power two loop system simulation analysis field, the accuracy of it is higher.

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21

Liu, Zong Bao, Shi Qiao Gao, Feng Lin Yao, and Jing Qing Du. "Hardware-in-the-Loop Simulation System of Penetration Fuze Based on LabVIEW." Advanced Materials Research 588-589 (November 2012): 1328–32. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.1328.

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Fuze is an important component element of penetration weapons, for fuze tests in shot fields are expensive and can’t grasp the entire process, therefore a method of simulating the projectile penetrating into concrete target using Virtual Instrument Software LabVIEW combined with computer simulation is proposed here. Firstly the constitution of the hardware-in-the-loop simulation system is introduced, then the variation of acceleration when projectile penetrates into concrete is imitated, finally the whole system is tested, and the results indicate that the system can simulate the process of projectile penetrating into concrete target precisely and reliably.

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22

Chen, Zhongyuan, Xiaoming Liu, and Wanchun Chen. "Design of Real-Time Hardware-in-the-Loop TV Guidance System Simulation Platform." International Journal of Aerospace Engineering 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/7834395.

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This paper presents a novel design of a real-time hardware-in-the-loop (HIL) missile TV guidance system simulation platform, which consists of a development computer, a target computer, a turntable, a control cabin, and a joystick. The guidance system simulation model is created on the development computer by Simulink® and then downloaded to the target computer. Afterwards, Simulink Real-Time™ runs the model in real-time. Meanwhile, the target computer uploads the real-time simulation data back to the development computer. The hardware in the simulation loop is TV camera, encoders, control cabin, servomotors, and target simulator. In terms of hardware and software, the system has been simplified compared with the existing works. The volume of the turntable integrating the target simulator and the seeker simulator is about 0.036 cubic meters compared to the original 8 cubic meters, so it has a compact structure. The platform can perform the closed-loop control, so the simulation has high precision. Taking the TV guidance simulation as an example, in the case of target maneuvering, the final miss distance of the TV guidance missile is 0.11812 m, while the miss distance of the original system is 13 m. The trajectories obtained from the HIL and mathematical simulations substantially coincide. So the simulation results show that the proposed HIL simulation platform is effective.

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23

Kaviyarasu, A., A. Saravanakumar, and M. Logavenkatesh. "Software in Loop Simulation based Waypoint Navigation for Fixed Wing UAV." Defence Science Journal 71, no. 4 (July 1, 2021): 448–55. http://dx.doi.org/10.14429/dsj.71.16164.

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Software in loop simulation (SILS) based waypoint navigation test platform being presented in this paper for fixed wing unmanned aerial vehicle. The proposed platform helps to test waypoint navigation algorithm before implementing into real time environment. Matlab/Simulink and X-plane flight simulator are chosen for the proposed platform. The interface between these two platforms are done by using user datagram protocol (UDP). The waypoint navigation which is to be tested is run in Matlab/Simulink environment where as fixed wing model runs in X-plane simulator. Inverted T tail fixed wing unmanned aerial vehicle configuration is chosen for this research work to verify both its inner loop (attitude control) and outer loop (navigation control). Navigation algorithm executed in Matlab/Simulink compares difference between current and desired latitude longitude position to command flight simulator to reach its desired waypoint. Navigation towards a desired waypoint will be achieved by varying inner loop attitude command of an unmanned aerial vehicle. Finally results are observed and performances are verified in X-plane simulator.

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Sarhadi, Pouria, Reza Nad Ali Niachari, Morteza Pouyan Rad, and Javad Enayati. "Hardware-in-the-loop simulation for real-time software verification of an autonomous underwater robot." International Journal of Intelligent Unmanned Systems 4, no. 3 (July 4, 2016): 163–81. http://dx.doi.org/10.1108/ijius-12-2015-0016.

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Purpose The purpose of this paper is to propose a software engineering procedure for real-time software development and verification of an autonomous underwater robotic system. High performance and robust software are one of the requirements of autonomous systems design. A simple error in the software can easily lead to a catastrophic failure in a complex system. Then, a systematic procedure is presented for this purpose. Design/methodology/approach This paper utilizes software engineering tools and hardware-inthe-loop (HIL) simulations for real-time system design of an autonomous underwater robot. Findings In this paper, the architecture of the system is extracted. Then, using software engineering techniques a suitable structure for control software is presented. Considering the desirable targets of the robot, suitable algorithms and functions are developed. After the development stage, proving the real-time performance of the software is disclosed. Originality/value A suitable approach for analyzing the real-time performance is presented. This approach is implemented using HIL simulations. The developed structure is applicable to other autonomous systems.

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Mauledoux, Mauricio, Crhistian C. G. Segura, and Oscar F. Aviles. "Tool to Perform Software-in-the-Loop through Robot Operating System." Applied Mechanics and Materials 713-715 (January 2015): 2391–94. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2391.

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This article describes the use of Software-in-the-loop (SIL) and Robot Operating System (ROS) as tools for controller implementation and simulation of discrete-time plants is exposed. For experimental validation a magnetic levitation plant is used, this is modeled using Lagrange obtaining a nonlinear model which is linearized. Thus this model is discretized using a Tustin transformation for subsequent implementation of the control loop. Feedback state variable is implemented as control strategy for experimental validation on a system (Raspberry-Pi / fit-PC, Matlab / PC). We chose to use ROS as it is available for computers running operating systems based on Linux, as used in various embedded systems commercially available com the Fit-PC, Beagle-Board and Raspberry-Pi, ROS occupies low disk space (basic installation), programming is done in C ++ allowing more thorough use of the hardware. For testing three modules (node) implemented; "Reference_node" which is responsible for requesting the user to the desired position and transmit it to the next node, "control_node" is responsible for carrying out checks, which receives as inputs the reference (desired position) and the output of the plant (position current), and which outputs the control signal (u), finally "plant_node" is the node that simulates the behavior of the plant.

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Reveillere, Adrien, Martin Longeon, and Iacopo Rossi. "Dynamic simulation of a combined cycle for power plant flexibility enhancement." E3S Web of Conferences 113 (2019): 01005. http://dx.doi.org/10.1051/e3sconf/201911301005.

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System simulation is used in many fields to help design, control or troubleshoot various industrial systems. Within the PUMP-HEAT H2020 project, it is applied to a combined cycles power plant, with innovative layouts that include heat pumps and thermal storage to un-tap combined cycle potential flexibility through low-CAPEX balance of plant innovations. Simcenter Amesim software is used to create dynamic models of all subsystems and their interactions and validate them from real life data for various purpose. Simple models of the Gas Turbine (GT), the Steam loop, the Heat Recovery Steam Generator (HRSG), the Heat Pump and the Thermal Energy storage with Phase Change material are created for Pre-Design and concept validation and then scaled to more precise design. Control software and hardware is validated by interfacing them with detailed models of the virtual plant by Model in the Loop (MiL), Software in the Loop (SiL) and Hardware in the Loop (HiL) technologies. Unforeseen steady state and transient behaviours of the powerplant can be virtually captured, analysed, understood and solved. The purpose of this paper is to introduce the associated methodologies applied in the PUMP-HEAT H2020 project and their respective results.

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27

Salehi, Amin, and Morteza Montazeri-Gh. "Hardware-in-the-loop simulation of fuel control actuator of a turboshaft gas turbine engine." Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 233, no. 3 (October 4, 2018): 969–77. http://dx.doi.org/10.1177/1475090218803727.

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The turboshaft engine is the major component in the propulsion system of most marine vehicles, and proper control of its function as a sub-system in the propulsion system has a direct impact on the performance of the vehicle’s propulsion control system. The engine performance control is performed through the fuel control system. The fuel control system of a turboshaft gas turbine engine consists of two parts: electronic control unit and fuel control unit which is the actuator of the fuel control system. In this article, a hardware-in-the-loop simulation is presented for testing and verifying the performance of the fuel control unit. In the hardware-in-the-loop simulation, the fuel control unit in hardware form is tested in connection with the numerically simulated model of engine and electronic control unit. In this simulation, a Wiener model for the turboshaft engine is developed which is validated with the experimental data. Subsequently, a multi-loop fuel controller algorithm is designed for the engine and the parameters are optimized so that the time response and physical constraints are satisfied. In the next step, a state-of-the-art hydraulic test setup is built and implemented to perform the hardware-in-the-loop test. The test system contains personal and industrial computer, sensors, hydraulic components, and data acquisition cards to connect software and hardware parts to each other. In this hardware-in-the-loop simulator, a host–target structure is used for real-time simulation of the software models. The results show the effectiveness of hardware-in-the-loop simulation in fuel control unit evaluation and verify the steady and transient performance of the designed actuator.

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28

He, Fang, and Jia Jia Pang. "Study on Simulation of Multi-Loop Networked Control System." Advanced Materials Research 694-697 (May 2013): 2065–68. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2065.

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Multi-loop NCS is widely used in machinery networked manufacturing production line. The performances of NCS are influenced by the network scheduling and some uncertainty factors, such as transmission rate, delay, loss rate of packet, disturbance, and so on. Considering these influence factors, a simulation model of a multi-loop is constructed using TrueTime toolbox of Matlab software. The related study methods of performance of NCS are given. As the result of simulation, the performances of multi-loop NCS are observed and analyzed. The work done in this paper is very meaningful and helpful to further make related control strategy improving the research on performances of multi-loop NCS.

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Song, En Zhe, Chang Xi Ji, Mei Liang Yin, Jun Sun, and Cheng Shun Yin. "The Simulation Research on Travel-Driven System of Powered Platform Lorry." Advanced Materials Research 619 (December 2012): 522–27. http://dx.doi.org/10.4028/www.scientific.net/amr.619.522.

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In order to improve the power performance and fuel economy performance of powered platform lorry, this paper analyses the characteristics of hydraulic system and engine to make three-close-loop control strategy. Its physical model is built with AMESim simulation software and the three-close-loop control strategy controller for the system is constructed in Matlab/Simulink environment. To evaluate the three close-loop control strategy, a co-simulation method with AMESim/Simulink is used. The simulation results show the control strategy is effective to improve the efficiency of the hydraulic drive system, the utilization of engine power, and the life of hydraulic components.

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30

Ren, Hui Li, Ling Fu, Pan Li, and Chang Chun Gao. "Simulation and Analysis of the Anti-Sway Control of Crane Ship Based on Adams and Matlab Co-Simulation." Advanced Materials Research 712-715 (June 2013): 2826–30. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2826.

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The thesis established the virtual prototype model of the crane ship based on the software platform of Adams and designed the control program to control the virtual model based on Matlab/Simulink. In the ideal working condition for crane ship, the co-control effectively reduces the swing angles of the hoist by the control program of open-loop control.In the working condition when the ship has more substantial movements, Adams and Matlab co-simulation reduces the swing angles of the hoist by the control program of open-loop control to change the pitching angle and slewing angle of the boom.

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31

Tuominen, Ville, Hannu Reponen, Anna Kulmala, Shengye Lu, and Sami Repo. "Real-time hardware- and software-in-the-loop simulation of decentralised distribution network control architecture." IET Generation, Transmission & Distribution 11, no. 12 (August 24, 2017): 3057–64. http://dx.doi.org/10.1049/iet-gtd.2016.1570.

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32

Simard, Stéphane, Rachid Beguenane, and Jean-Gabriel Mailloux. "Performance Evaluation of Rotor Flux-Oriented Control on FPGA for Advanced AC Drives." Journal of Robotics and Mechatronics 21, no. 1 (February 20, 2009): 113–20. http://dx.doi.org/10.20965/jrm.2009.p0113.

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Hardware implementation of mechatronic systems become more and more feasible with the constant development of simulation software tools and more performing computer hardware. The work presented here explains the use of Matlab/Simulink and Xilinx System Generator tools and FPGA hardware in designing, simulating and evaluating control laws for mechatronic systems. Particularly, this paper reports improved results for FPGA implementation and hardware/software co-simulation of a rotor flux-oriented control loop for three-phase AC induction motors. On FPGA, the computation time achieved for the complete control loop proves to be short enough that many enhancements proposed in theory become possible, including the use of neural networks, matrix calculations, on-line monitoring, advanced control of PWM inverter-fed AC machines, and multiple hybrid controls, without affecting system performance or sacrificing precision.

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Nguyen, Ha Thi, Guangya Yang, Arne Hejde Nielsen, and Peter Hojgaard Jensen. "Hardware- and Software-in-the-Loop Simulation for Parameterizing the Model and Control of Synchronous Condensers." IEEE Transactions on Sustainable Energy 10, no. 3 (July 2019): 1593–602. http://dx.doi.org/10.1109/tste.2019.2913471.

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Chen, Le, Hong Min Yu, Tao Jia, and Chao Ye. "Equipment Command Simulation Based on Workflow." Advanced Materials Research 532-533 (June 2012): 620–23. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.620.

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Based on the introduction of workflow management software, this paper analyzed the feasibility for simulating Equipment Command Office (ECO) operations with workflow product-LiveFlow. It demonstrated the simulation process and simulation object model (SOM) of ECO explicitly. Consequently, the ECO federate was designed using LiveFlow within HLA infrastructure. The “Human-in-Loop” simulation was realized by invoking the business process object (BPO) library of LiveFlow. This research is significant to the deployment, training and working-efficiency evaluation of ECO staffs. It’s also the foundation of business process reengineering (BPR) of ECO.

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Collins, David E., and Alan D. George. "Parallel and Sequential Job Scheduling in Heterogeneous Clusters: A Simulation Study Using Software in the Loop." SIMULATION 77, no. 5-6 (November 2001): 169–84. http://dx.doi.org/10.1177/003754970107700503.

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Sun, Cheng Zhi, Hao Rui Liu, and Ya Yu Chen. "Flaw Detection by Using Hardware-in-Loop Based on Proteus." Advanced Materials Research 466-467 (February 2012): 1315–19. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.1315.

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A rapid R&D Process is produced in eddy current detection using hardware-in-loop simulation. Inspired by software and hardware concurrent exploitation method in software engineering, we explore a new top-down design method in Proteus environments. Data acquisition and data-out devices which can work in Proteus environments are designed, including the digital filter and coherent detection procedures for eddy current detection. By putting the spiral development of software engineering into the design process of the hardware projects, which uses Proteus as a system prototype development platform, unifies the gap between field experiment and the software simulation by using hardware-in- loop method and accelerates design schedule. In this way, rapid eddy current detection prototyping can be designed very soon, and it is useful for system-level devices design in eddy current detection. The practice proves that this method can greatly shorten the product development cycle and reduce development cost for system-level devices design in eddy current detection.

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Cao, Yang, Kai Wen Qiu, Guo Qing Wu, Rong Chuan Yu, and Chao Chao Zhong. "Design and Simulation of the Hydraulic Synchronous Control System of the Upper Roller in Bending Machine." Applied Mechanics and Materials 713-715 (January 2015): 752–55. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.752.

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This paper sketches the overall structure of the hydraulic system of bending machine, and designs the hydraulic synchronous control system of the upper roller in bending machine. Then making use of AMEsim software to establish hydraulic system simulation model to analyze the pressure, velocity, displacement and other parameters of hydraulic cylinders in two cases when in open loop and closed loop system. After that, use PID algorithm to simulate the upper roller of bending machine in hydraulic closed loop synchronous system, which verifies that it can meet the motion requirements and get a higher synchronous precision.

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Nguyễn Văn, Đông. "Hardware-in-the-loop simulation for estimating dynamics parameters of vehicle." Journal of Science and Technology Issue on Information and Communications Technology 17, no. 6 (June 30, 2019): 39. http://dx.doi.org/10.31130/jst-ud2019-001.

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Information about vehicle dynamics states is indispensable for modern dynamics control system on vehicle today. For economic reasons, a technique called “virtual sensor” which bases on dynamical model of vehicle and an observation algorithm are used to estimate real states of vehicle. In this paper, a system based on Hardware-in-the-loop simulation will be used to estimate the vehicle states in real time. CarSim is a professional software for simulating the dynamics of vehicle which is used as a virtual vehicle in this paper. An observer based on Luen-berge method is developed and implemented by Arduino Mega 2560 board. Matlab/Simulink plays the role of acquistion and data transfer center. The simulation results show the good performance of observer in real time condtion when the estimated values are well converged to real values given by CarSim.

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Brzozowski, Bartosz, Wiesław Sobieraj, and Konrad Wojtowicz. "UAV Avionics System Software Development Using Simulation Method." Solid State Phenomena 198 (March 2013): 260–65. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.260.

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During last few years avionics system research platform was invented at the Military University of Technology. This modular simulator allows user to design and verify avionics system software using hardware-in-the-loop technique. Mathematical model of an airplane under tests is implemented on a high-performance computer which response to all control signals and environmental disturbances. Environment is simulated on a separate computer which can also visualize orientation and movement of the airplane. Plane structure and aerodynamic features as well as control data can be modified accordingly to user needs. The third PC is used as an interface unit between research platform and main computational unit of the avionics system. This device can send and receive information in real-time using various data protocols and interfaces depending on sensors and actuators that are planned to be used in real system. Those three computers work in a local area network and exchange data using Gigabit Ethernet standard. Possibility to simulate behavior of an UAV controlled by the developed avionics system implemented on an embedded computer working in hardware-in-the-loop mode on the platform, allows software developer to debug any part of the application in various environment conditions very close to reality. Research platform gives also the possibility to modify algorithm and adjust its parameters in real-time to verify suitability of the implemented avionics system software for the particular UAV. The avionics system software developed using this simulation method minimize expensive in-flight tests and assure failsafe performance after first successful flight

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Lucas, David E., Pitu B. Mirchandani, and K. Larry Head. "Remote Simulation to Evaluate Real-Time Traffic Control Strategies." Transportation Research Record: Journal of the Transportation Research Board 1727, no. 1 (January 2000): 95–100. http://dx.doi.org/10.3141/1727-12.

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Simulation is a valuable tool for evaluating the effects of various changes in a transportation system. This is especially true in the case of real-time traffic-adaptive control systems, which must undergo extensive testing in a laboratory setting before being implemented in a field environment. Various types of simulation environments are available, from software-only to hardware-in-the-loop simulations, each of which has a role to play in the implementation of a traffic control system. The RHODES (real-time hierarchical optimized distributed effective system) real-time traffic-adaptive control system was followed as it progressed from a laboratory project toward actual field implementation. The traditional software-only simulation environment and extensions to a hardware-in-the-loop simulation are presented in describing the migration of RHODES onto the traffic controller hardware itself. In addition, a new enhancement to the standard software-only simulation that allows remote access is described. The enhancement removes the requirement that both the simulation and the traffic control scheme reside locally. This architecture is capable of supporting any traffic simulation package that satisfies specific input-output data requirements. This remote simulation environment was tested with several different types of networks and was found to perform in the same manner as its local counterpart. Remote simulation has all of the advantages of its local counterpart, such as control and flexibility, with the added benefit of distribution. This remote environment could be used in many different ways and by different groups or individuals, including state or local transportation agencies interested in performing their own evaluations of alternative traffic control systems.

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Zhang,, Huisheng, Ming Su, and, and Shilie Weng. "Hardware-in-the-Loop Simulation Study on the Fuel Control Strategy of a Gas Turbine Engine." Journal of Engineering for Gas Turbines and Power 127, no. 3 (June 24, 2005): 693–95. http://dx.doi.org/10.1115/1.1805012.

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A hardware-in-the-loop simulation of a three-shaft gas turbine engine for ship propulsion was established. This system is composed of computers, actual hardware, measuring instruments, interfaces between actual hardware and computers, and a network for communication, as well as the relevant software, including mathematical models of the gas turbine engine. “Hardware-in-the-loop” and “volume inertia effects” are the two innovative features of this simulation system. In comparison to traditional methods for gas turbine simulation, the new simulation platform can be implemented in real time and also can test the physical hardware’s performance through their integration with the mathematical simulation model. A fuel control strategy for a three-shaft gas turbine engine, which can meet the requirement to the acceleration time and not exceeding surge line, was developed using this platform.

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Vignati, Michele, Nicola Debattisti, Maria Laura Bacci, and Davide Tarsitano. "A Software-in-the-Loop Simulation of Vehicle Control Unit Algorithms for a Driverless Railway Vehicle." Applied Sciences 11, no. 15 (July 22, 2021): 6730. http://dx.doi.org/10.3390/app11156730.

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The realization of the first prototype of a vehicle requires several tests of the algorithms implemented on the electronic control unit (ECU). This represents an important step for conventional vehicles, which becomes fundamental when dealing with unmanned vehicles. Since there is no human supervision, most critical tasks are handled by the control unit, which results in higher complexity for the control algorithms. In this work, a software-in-the-loop (SiL) test bench is used to validate the control algorithms of a vehicle control unit (VCU) for a driverless railway vehicle (DLRV). The VCU manages the control of the traction motors, pneumatic braking systems, and range extender, as well as control of the hybrid powertrain configuration to guarantee a high level of availability via the use of redundant systems. The SiL test bench has been developed in a Simulink real-time environment, where the vehicle model is simulated along with its fundamental subsystems. The model communicates with the VCU through a CAN bus protocol in the same way that it will operate with a real vehicle. The proposed method can be used to simulate many mission profiles for the DLRV, which may last several hours each. Moreover, this kind of test bench ensures a high time resolution, which allows one to find solutions for problems which occur with a time scale that is much smaller than the simulation time scale.

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El-Agroudy, Mohammed N., Mohammed I. Awad, and Shady A. Maged. "Soft Finger Modelling and Co-Simulation Control towards Assistive Exoskeleton Hand Glove." Micromachines 12, no. 2 (February 11, 2021): 181. http://dx.doi.org/10.3390/mi12020181.

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The soft pneumatic actuators of an assistive exoskeleton hand glove are here designed. The design of the actuators focuses on allowing the actuator to perform the required bending and to restrict elongation or twisting of the actuator. The actuator is then modeled using ABAQUS/CAE, a finite element modeling software, and the open loop response of the model is obtained. The parameters of the actuator are then optimized to reach the optimal parameters corresponding to the best performance. Design of experiment (DOE) techniques are then approached to study the robustness of the system. Software-in-the-loop (SiL) is then approached to control the model variables via a proportional-integral-derivative (PID) control generated by FORTRAN code. The link between the two programs is to be achieved by the user subroutine that is written, where the subroutine receives values from ABAQUS/CAE, performs calculations, and passes values back to the software. The controller’s parameters are tuned and then the closed loop response of the model is obtained by setting the desired bending angle and running the model. Furthermore, a concentrated force at the tip of the actuator is added to observe the actuator’s response to external disturbance.

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Sanchez, Rene O., Roberto Horowitz, and Pravin Varaiya. "Hardware-In-The-Loop On-ramp Simulation Tool to Debug and Test the Universal Ramp Metering Software." IFAC Proceedings Volumes 42, no. 15 (2009): 211–16. http://dx.doi.org/10.3182/20090902-3-us-2007.0104.

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Lin, Tao, Jiaheng Zou, Weidong Li, Ziyan Deng, Guofu Cao, Xingtao Huang, and Zhengyun You. "Status of the parallelized JUNO simulation software." EPJ Web of Conferences 214 (2019): 02008. http://dx.doi.org/10.1051/epjconf/201921402008.

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The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose neutrino experiment. It consists of a central detector, a water pool and a tracker placed on top. The central detector, which is used for neutrino detection, consists of a 20 kt liquid scintillator target and about 18,000 20-inch photomultiplier tubes (PMTs) to detect scintillation photons. Simulation software is an important part of the JUNO offline software. To speed up the simulation, a parallelized simulation framework has been developed based on the SNiPER framework and Geant4 version 10. The SNiPER task components are in charge of the event loop, which can run in sequential mode, Intel TBB mode and other modes. Based on SNiPER, the simulation framework and its underlying parallel libraries have been decoupled. However, parallelized simulation of correlated events is a challenge. In order to keep the correct event order, a component called global buffer is developed in SNiPER. In this paper, an overview of the parallelized JUNO simulation framework is presented. The global buffer is used in the parallelized event correlation simulation. An event generator produces events with timestamps in sequential mode. These events are put into the global buffer and processed by the detector simulation algorithms in different tasks. After simulation, the events are saved into ROOT files with a ROOT I/O service running in a dedicated thread. Finally, the software performance is presented.

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Quantmeyer, Florian, and Xiao Bo Liu-Henke. "Hardware in the Loop Test Rig for Development of Control Algorithms for Electric Vehicles." Solid State Phenomena 198 (March 2013): 507–12. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.507.

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Political pressure on the automotive industry will lead in future to an increasing electrification of the powertrain. The new components require the development of new vehicle control systems and control functions. Due to the high complexity of such systems the mechatronical development process including Model in the Loop (MIL), Software in the Loop (SIL) and Hardware in the Loop (HIL) simulation has been established. In this paper, a HiL test rig is presented, which has high flexibility and supports the model based development of control systems for battery electric vehicles at all levels.

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Joochim, Chanin, Adisak Suwanma, and Nawarat Worrakul. "Development of a Closed-Loop Simulator for a Separately-Excited DC Motor Drive System." Applied Mechanics and Materials 328 (June 2013): 509–14. http://dx.doi.org/10.4028/www.scientific.net/amm.328.509.

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This paper presents a new simulation program, called ONIM, for a feedback (i.e., closed-loop, PI) control system. ONIM is a graphical design tool like Simulink in MATLAB, which allows a user to simulate a feedback control system with real-time response. The outputs from ONIM can be provided both in numerical and graphical forms. In this paper, the software modules are developed in ONIM for tuning PI controllers, and simulating the digital filters for a separately-excited DC motor drive system. Simulation results obtained by ONIM are compared with the results obtained by MATLAB/Simulink. The results show the high reliability and robustness of the ONIM simulation.

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BAYRAM, Hassan M., and Bilal A. MUBDIR. "MATLAB BASED HIL FRAMEWORK: A GUIDE TO BUILD A HARDWARE IN THE LOOP DAQ PERIPHERAL." MINAR International Journal of Applied Sciences and Technology 03, no. 03 (September 1, 2021): 58–68. http://dx.doi.org/10.47832/2717-8234.3-3.8.

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Testing and validating modern hardware such as some subsystems in modern vehicles is a little challenging especially before assembling them into the final product. To achieve a valid real-time test, the tested hardware or unit must be placed into its real-time environment which is not possible in some cases. Recently, and with the presence of advanced simulation software applications, the hardware environment could be simulated easily to fulfill the real-time test properly. Simulating an environment in one loop with real physical hardware knowing as Hardware-in-the-loop is used nowadays in various development fields, medical, industrial, research, and education. Amongst the aforementioned, HIL is widely used in control systems applications. In the paper, building a framework to enable hardware in the loop (HIL) simulation with the aid of MATLAB/Simulink is discussed. Over serial communication, and inexpensive data acquisition (DAQ) peripheral has been developed using a microcontroller unit. the development of the framework is discussed to be used as a guide for building it by using any microcontroller. The resultant performance appeal to excellent real-time response with quite a small delay of about 70ms in the worst case.

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Khoee-Fard, Mina, and Tarek Lahdhiri. "Challenges in Real Time Controls Simulation (Hardware-In-the-Loop) in Active Safety for Subsystem Level Software Verification." SAE International Journal of Passenger Cars - Electronic and Electrical Systems 4, no. 1 (April 12, 2011): 105–10. http://dx.doi.org/10.4271/2011-01-0450.

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Ielina, Tetiana, Liudmyla Halavska, Daiva Mikucioniene, Rimvydas Milasius, Svitlana Bobrova, and Oksana Dmytryk. "Development of 3D Models of Knits from Multi-Filament Ultra-Strong Yarns for Theoretical Modelling of Air Permeability." Materials 14, no. 13 (June 23, 2021): 3489. http://dx.doi.org/10.3390/ma14133489.

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The work is devoted to the study of the geometric parameters of a knitted loop. It has been found that the optimal model is a loop model detailed at the yarn level, which considers the change in the cross-sectional shape and sets the properties of the porous material in accordance with the internal porosity of the yarn. A mathematical description of the coordinates of the characteristic points of the loop and an algorithm for calculating the coordinates of the control vertices of the second order spline, which determine the configuration of the yarn axes in the loop, are presented in this work. To create 3D models, Autodesk AutoCAD software and Structura 3D software, developed in the AutoLisp programming language, were used. The simulation of the air flow process was carried out in the Autodesk CFD Simulation environment. For the experimental investigation, plane knits from 44 tex × 3 linear density ultra-high molecular weight polyethylene yarns were produced, and their air permeability was tested according to Standard DSTU ISO 9237:2003. The results obtained during the laboratory experiment and simulation differed by less than 5%.

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