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Chen, Huan Ming. "Driver Model Based on Controller with Open and Close Loop." Advanced Materials Research 889-890 (February 2014): 958–61. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.958.
It is very important to simulate driver's manipulation for people - car - road closed loop simulation system. In this paper, the driver model is divided into two parts, linear vehicle model is used to simulate the driver's driving experience, and closed-loop feedback is used to characterize the driver's emergency feedback. The lateral acceleration of vehicle is used as feedback in closed loop control. Simulation results show that the smaller lateral acceleration requires the less closed-loop feedback control. The driver model can accurately track the target path, which can be used to simulate the manipulation of the driver. The driver model can be used for people - car - road closed loop simulation to evaluate vehicle handling stability.
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Song, Qiang, and Lin Luo. "Speed-Tracking Driver Model Used in Hardware-in-Loop Simulation." Applied Mechanics and Materials 446-447 (November 2013): 1222–26. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1222.
An Incremental Structure of Speed-Tracking Driver Model was Developed by Using PID and Fuzzy Compound Control, and the Actual Driver's Handling Features and the Application of Hardware-in-Loop Simulation had been Fully Considered in this Model. Operation Delay, Shifting Coordination, Anti-Saturation of Integral, Zero-Speed Correction and Pre-Compensation Control were Proposed. the merits and demerits were Studied with Different Control Methods. the Results Show that Better Overshoot and Steady Accuracy are Obtained by PID and Fuzzy Control, and it’s the Several Correction Modules that make the Driver Model more Approximate to Real Driving Characteristics and more Conducive to the Practical Application of Hardware-in-Loop Simulation.
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Bao, Chunjiang, Jiwei Feng, Jian Wu, Shifu Liu, Guangfei Xu, and Haizhu Xu. "Model predictive control of steering torque in shared driving of autonomous vehicles." Science Progress 103, no. 3 (July 2020): 003685042095013. http://dx.doi.org/10.1177/0036850420950138.
The current path tracking control method is usually based on the steering wheel angle loop, which often makes the driver lose control of the automatic driving control loop. In order to involve the driver in the automatic driving control loop, and to solve the vehicle path tracking control problem with system robustness and model uncertainty, this paper puts forward a steering torque control method based on model predictive control algorithm. Based on the vehicle model, this method introduces the steering system model and the steering resistance torque model, and calculates the optimal control torque of the vehicle through the real-time vehicle status, so as to make up for the model mismatch, interference and other uncertainties, and ensure the real-time participation of the driver in the automatic driving control loop. To combine the nonlinear vehicle dynamics model with the steering column model, and to take the vehicle state parameters as the feedback variables of the model predictive controller model, then input the solution of the steering superposition control rate into the vehicle model, the design of the steering controller is realized. Finally, to carry out the simulation of lane keeping based on CarSim software and Simulink control model, and the hardware in-the-loop test on the hardware in-the-loop experimental platform of CarSim/LabVIEW-RT. The simulation and test results indicate that the designed torque loop path tracking control method based on model predictive control can help the driver track the target path better.
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V. Gowda, Dankan, Ramachandra A C, Thippeswamy M N, Pandurangappa C, and Ramesh Naidu P. "Automotive braking system simulations V diagram approach." International Journal of Engineering & Technology 7, no. 3 (August 21, 2018): 1740. http://dx.doi.org/10.14419/ijet.v7i3.15666.
This Paper focus, on the different stages associated with the advancement of Automobile Braking Control system. Different V-Models (SIL, MIL, HIL, and DIL) are contrasted with the proposed V model for Hydraulic antilock braking system. The main objective of this research is to enable various loop simulations used in a variety of automotive industries, in order to analyze the performance of different safety functions. A vehicle model is used to represent a real vehicle in a model-based environment. Vehicle model is a sophisticated component, which makes use of two wheeler dynamics concepts to achieve a real vehicle behavior. In this research, an attempt is made to elaborate the various automotive simulations used starting from model in loop simulation to Driver in loop Simulation approaches followed by a V-diagram approach to develop the product. Here an ABS controller is taken as an example model for simulation.
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Piksa, Ondřej, Adam Orlický, and Martin Scháno. "U SMART ZONE – Creating highly realistic virtual environment for vehicle-in-the-loop simulations." Acta Polytechnica CTU Proceedings 41 (September 27, 2023): 49–57. http://dx.doi.org/10.14311/app.2023.41.0049.
Developing Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) based on machine learning is generally an extensive and costly process. Due to the increasing complexity of autonomous systems, the need for extensive testing and validation arises. In recent years, computer simulation has been used for these purposes. Performing realistic simulations, especially for the purpose of computer vision-based systems, requires a high-quality, almost photorealistic virtual environment. This paper introduces U SMART ZONE, a high-fidelity virtual model of the Severní Terasa district in Ústí nad Labem, Czech Republic comprising of more than 7.5 km of drivable roads with a total area of approximately 1.4 km2 for human-in-the-loop and hardware-in-the-loop (HiL) simulations.
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He, Lin, Jie Bai, He Xu Sun, and Jie Gao. "Modeling and Simulation of 8/6 SRM Control System." Applied Mechanics and Materials 160 (March 2012): 277–81. http://dx.doi.org/10.4028/www.scientific.net/amm.160.277.
This paper introduced and analysis the various components of switched reluctance motor driver system, built each part of the simulation model in Simulink and described the functions and working principle of them. Connecting each simulation model of the system constituted a simulation model of SRD. The system uses dual-loop control, the speed loop with PI control, current loop with angle position and current chopped control methods. It ensures that we can get a satisfactory performance when SRM in the low-speed or high-speed. Simulation results showed the effectiveness of PI regulator error-free speed adjustment.
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Howson, Thomas, and Ineke De Moortel. "Heating and Cooling in Transversely Oscillating Coronal Loops Powered by Broadband, Multi-Directional Wave Drivers." Physics 5, no. 1 (January 29, 2023): 140–60. http://dx.doi.org/10.3390/physics5010011.
Recent studies have identified the potential for coronal wave heating to balance radiative losses in a transversely oscillating low-density loop undergoing resonant absorption, phase mixing and the Kelvin–Helmholtz instability. This result relied on a continuous, resonant oscillatory driver acting on one of the loop footpoints and similar setups with non-resonant driving produce insufficient heating. Here, we consider broadband and multi-directional drivers with power in both resonant and non-resonant frequencies. Using three-dimensional magnetohydrodynamic simulations, we impose transverse, continuous velocity drivers at the footpoints of a coronal loop, which is dense in comparison to the background plasma. We include the effects of optically thin radiation and a uniform background heating term that maintains the temperature of the external plasma but is insufficient to balance energy losses within the loop. For both broadband and multi-directional drivers, we find that the energy dissipation rates are sufficient to balance the average energy losses throughout the simulation volume. Resonant components of the wave driver efficiently inject energy into the system and these frequencies dominate the energetics. Although the mean radiative losses are balanced, the loop core cools in all cases as the wave heating rates are locally insufficient, despite the relatively low density considered here.
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Previati, Giorgio, and Gianpiero Mastinu. "SUMO Roundabout Simulation with Human in the Loop." SUMO Conference Proceedings 4 (June 29, 2023): 29–40. http://dx.doi.org/10.52825/scp.v4i.211.
Traffic simulators rely on calibrated driver models in order to reproduce human behavior in different traffic scenarios. Even if quite accurate results can be obtained, the actual interaction between human being and traffic cannot be completely reproduced. In particular, as automated vehicles are being developed, the human in the loop is required to understand whether drivers feel comfortable and safe in mixed traffic conditions. In recent years, dynamic driving simulators have been developed to test vehicles in complex or dangerous situations in safe and controlled environments. However, driving simulators are mostly devoted to the study of vehicle dynamics more than traffic situations.This paper presents an integration of SUMO with a high end dynamic driving simulator with the aim to study human reactions while negotiating a roundabout in mixed traffic conditions. SUMO is in charge of traffic simulation, while a full vehicle model is employed for the simulation of the dynamic of the human driven car. To allow a human to effectively drive the car, both simulation environments have to run in real time while exchanging the required information. Also, scenario graphics, sound and driving simulator feedback motion have to be accurately realized and synchronized with the simulations. A real-time server is employed for the synchronization of the different environments. As SUMO does not consider vehicle dynamics, particular attention is devoted to the a realistic reconstruction of trajectories and vehicle dynamics to be represented in the scenario. Some preliminary tests are shown where a panel of testers has been asked to negotiate the roundabout with different percentages of automated vehicles. The results of the tests show that drivers were able to perceive differences in the behavior of other vehicles and that the proposed approach is effective for understanding the feeling of comfort and safety of the human driver.
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Chang, Xiao Fei, Meng Meng Li, and Ji Yan. "Developing the Driver Module for PCI Board Using RT-LAB Software." Advanced Materials Research 505 (April 2012): 357–61. http://dx.doi.org/10.4028/www.scientific.net/amr.505.357.
The RT-LAB real-time simulation software can expediently and rapidly apply the Simulink model to the hard-in-the-loop simulation system and greatly save the expenses for development, experiment and measurement, thus cutting down the development cycle. The use of the self-made PCI board in the RT-LAB software requires the development of its driver module by the user himself. This paper presents the idea and development processes of the PCI bus-based board driver with the RT-LAB software. Taking as an example the NI-6230 multifunctional data acquisition board driver, the paper also presents the PCI board driver's key codes and their compilation with the RT-LAB software.
Dissertations / Theses on the topic "Driver-In-The-Loop simulation":
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Zheng, Yue. "Driver model for a software in the loop simulation tool." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-265668.
For this project, a Software-In-the-Loop (SIL) simulation tool is used at Scania (“VTAB” – Virtual Truck and Bus), which simulates the submodels of the mechanical vehicle components together with the real control units. The simulation tool contains the following submodels: Engine model, Drivetrain model, Drive cycle model, Restbus model, and Driver model. The simulated human driver submodel in the restbus model outputs two pedal control signals to the control unit, namely the gas and brake pedals. With these two pedal signals, the control unit decides the modes of mechanical vehicle components. This driver model needs to be reworked to obtain a better velocity following performance. Two controllers, fuzzy PI anti-windup and backward calculation, are implemented in the driver model and compared by the velocity tracking accuracy and the pedal switching frequency. In the comparison and analysis section, two different cycles and two weights of payload are simulated. The simulation results demonstrate that both controllers can improve the driver model’s velocity tracing accuracy. Further, the fuzzy PI anti-windup controller is better when considering pedal signals fluctuation frequency and implementation complexity. För detta projekt används ett simuleringsverktyg Software-In-the-Loop (SIL) på Scania (“VTAB” - Virtual Truck and Bus), vilket simulerar submodellerna för de mekaniska fordonskomponenterna tillsammans med de verkliga styrenheterna. Simuleringsverktyget innehåller följande submodeller: Motormodell, Drivmotormodell, Drivcykelmodell, Restbusmodell och Drivermodell. Den simulerade submodellen för mänsklig förare i restbussmodellen kommer att sända två pedalsstyrsignaler till styrenheten, nämligen gas och broms. Med dessa två pedalsignaler kan styrenheten avgöra lägen av mekaniska fordonskomponenter. Denna drivrutinmodell måste omarbetas för att få en bättre hastighetsspårnings presentationsförmåga. Två styrenheter, fuzzy PI anti-windup och bakåtberäkning, implementeras i förarmodell och jämförs respektive med hastighetsspårningsnoggrannhet och pedalväxelfrekvens. I jämförelseoch analysavsnittet simuleras två olika cyklar och två nyttolast. Simuleringsresultaten visar att båda kontrollerna kan förbättra förarmodellens hastighetsspårningskapacitet. Vidare är fuzzy PI-anti-windup-kontroller bättre när man tar hänsyn till pedalsignalernas fluktueringsfrekvens och implementeringskomplexitet
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Stevens, Thomas F. "A LiDAR Based Semi-Autonomous Collision Avoidance System and the Development of a Hardware-in-the-Loop Simulator to Aid in Algorithm Development and Human Studies." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1521.
In this paper, the architecture and implementation of an embedded controller for a steering based semi-autonomous collision avoidance system on a 1/10th scale model is presented. In addition, the development of a 2D hardware-in-the-loop simulator with vehicle dynamics based on the bicycle model is described. The semi-autonomous collision avoidance software is fully contained onboard a single-board computer running embedded GNU/Linux. To eliminate any wired tethers that limit the system’s abilities, the driver operates the vehicle at a user-control-station through a wireless Bluetooth interface. The user-control-station is outfitted with a game-controller that provides standard steering wheel and pedal controls along with a television monitor equipped with a wireless video receiver in order to provide a real-time driver’s perspective video feed. The hardware-in-the-loop simulator was developed in order to aid in the evaluation and further development of the semi-autonomous collision avoidance algorithms. In addition, a post analysis tool was created to numerically and visually inspect the controller’s responses. The ultimate goal of this project was to create a wireless 1/10th scale collision avoidance research platform to facilitate human studies surrounding driver assistance and active safety systems in automobiles. This thesis is a continuation of work done by numerous Cal Poly undergraduate and graduate students.
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Fasciani, Davide. "Real time processing in Simulink for Hardware in the Loop simulations of V2X." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Vehicle-to-everything (V2X) communications allow vehicles to exchange messages useful for several scopes, including accident reduction and safety applications. This feature, in cooperation with advanced driver assistance systems (ADAS), needs to be tested and validated to guarantee optimal functionality. This thesis focuses on the
development of a Simulink V2X simulation communication module, as an extension to the traffic simulator adopted as part of a validation platform, with the aim of interfacing it with hardware devices. The traffic simulator generates the scenario and controls, through a protocol defined in this activity, an external simulator, which in turn activates the exchange of V2X messages. The system is then tested by applying, as an example, a forward collision warning (FCW) application. More specifically firstly, simulations have been developed in a software in the loop (SiL) architecture; finally, a hardware in the loop (HiL) setup has been implemented, involving real on-board units (OBUs), with a tablet simulating human-to-machine interface (HMI).
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Tournez, Florian. "Du composant au conducteur dans la boucle de simulation pour le test de véhicules électriques hybrides." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILN060.
L'électrification des véhicules joue un rôle essentiel dans la lutte contre le réchauffement climatique. En réponse à la croissance de plus en plus marquée des véhicules électrifiés sur le marché automobile mondial, de nouvelles technologies ont émergé pour satisfaire la demande. Les simulations Hardware-in-the-Loop de type Signal (S-HIL) et Puissance (P-HIL) sont déjà utilisées dans l'industrie automobile pour tester différents composants et sous-systèmes de nouvelle génération avant leur intégration dans le prototype final, mais leur potentiel reste sous-exploité. Afin de favoriser leur utilisation et d'améliorer la vitesse de développement de nouvelles méthodes simples et abordables doivent être mises en place.L'objectif de cette thèse est de proposer une méthode souple permettant de tester divers sous-systèmes électriques grâce à des simulations HIL de puissance classiques jusqu'au test avec le conducteur dans la boucle de simulation (DIL). Le concept de la simulation HIL distribuée est introduit en se basant sur l'utilisation d'un serveur délocalisé. Le serveur délocalisé correspond à un ordinateur virtuel situé dans un centre de données équipé du logiciel de simulation Amesim Simcenter. Le logiciel permet d'avoir accès à une bibliothèque de modèles en ligne permettant à l'utilisateur de coupler ses modèles ou ses sous-systèmes situés localement avec Amesim Simcenter afin de réaliser des simulations pures, du S-HIL ou du P-HIL. Une interface simple et flexible a été mise en place par l'intermédiaire de l'organisation des modèles avec le formalisme de la Représentation Energétique Macroscopique (REM). La simulation HIL distribuée a été réalisée dans le cadre du Projet H2020 PANDA pour améliorer l'insertion des véhicules électrifiés sur le marché automobile. Le second axe est de mettre en place une simulation DIL couplée simultanément à une simulation P-HIL tout en gardant la flexibilité d'utiliser des modèles sous une plateforme de simulation temps réel. De cette manière, il est possible de tester un sous-système de puissance tout en incluant un conducteur au travers d'un simulateur de conduite (DIL/P-HIL) Vehicle electrification plays a crucial role in the fight against climate change. In response to the increasingly pronounced growth of electrified vehicles in the global automotive market, new technologies have emerged to meet the demand. Hardware-in-the-Loop simulations, such as Signal (S-HIL) and Power (P-HIL), are already used in the automotive industry to test various components and next-generation subsystems before their integration into the final prototype, but their potential remains underutilized. To promote their use and enhance the speed of development, new and affordable methods need to be implemented.The objective of this thesis is to propose a flexible method for testing various electrical subsystems, ranging from traditional HIL simulations to Driver-in-the-Loop simulation (DIL). The concept of distributed HIL simulation is based on the use of a remote server. The remote server corresponds to a virtual computer located in a data center equipped with the Amesim Simcenter simulation software. The software provides access to an online library of models, allowing the user to couple their models or locally located subsystems with Amesim Simcenter to perform pure simulations, S-HIL, or P-HIL. A simple and flexible interface has been established through the organization of models using the Energetic Macroscopic Representation (EMR) formalism. Distributed HIL simulation was carried out as part of the H2020 PANDA Project to improve the integration of electrified vehicles into the automotive market. The second focus is to implement a DIL simulation coupled simultaneously with a P-HIL simulation while retaining the flexibility of using models in a real-time simulation platform. This approach enables the testing of a power subsystem while incorporating a driver through a driving simulator (DIL/P-HIL)
By using vehicle-to-vehicle communication, vehicles can cooperate in many waysby sending positions and other relevant data between each other. One popularexample is platooning where many, especially heavy vehicles, drive on a trailwith short distances resulting in a reduction of air resistance. To achieve a goodefficiency of the platooning it is required that vehicle fleets are coordinated, sothat the percentage of time for driving in platoon is maximized without affectingthe total driving time and distance too much. For large fleets, this is a complexoptimization problem which would be difficult to solve by only using the realworld as the test environment. To provide a more adaptable test environment for the communication and platooningcoordination, an augmented reality with virtual vehicles (“Ghost trucks")with relevant communication abilities are developed. In order to realise the virtualtesting environment for trucks, Scania initiated a project that could be dividedinto the workload of three master theses. This thesis involved the part ofdeveloping the virtual vehicles, which include the development of a truck modeland a driver model. The developed truck model consists of a single track vehicle model and severalpowertrain models of different complexity provided by Scania. Additionally, thedriver model consists of steering wheel and speed controls in order to keep thetruck on a safe distance from the lead truck and stay on a preferred lane. The keyfeature of the driver-truck model is its modular design, which provides great flexibilityin selecting the level of detail for each component. The driver-truck modelcan be duplicated and simulated together in real time and performs platooningwith each other in a road system based on the real world. As the driver-truckmodel is module based, it can easily be extended for future purposes with morecomplex functions. The driver-truck model is implemented in Simulink and the simulation performancefor different model complexity is evaluated. It is demonstrated that theflexibility of the developed model allows a balanced decision to be made betweenrealistic truck behavior and simulation speed. Furthermore, multi-truck simulationsare performed using the model, which demonstrate the effectiveness of themodel in the evaluation of truck platooning operations.
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Wilkerson, Jaxon. "Handoff of Advanced Driver Assistance Systems (ADAS) using a Driver-in-the-Loop Simulator and Model Predictive Control (MPC)." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595262540712316.
Moscato, Giulio. "Implementation of use cases for Hardware in the Loop simulations of V2X/ADAS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
The growing interest in the automotive field is leading to the study and development of increasingly advanced techniques for autonomous and assisted driving.
This thesis focuses on the implementation of a component of an Hardware-in-the-Loop (HiL) validation platform where software simulations serve as input to Vehicle-to-Everything (V2X) and Advanced Driver Assistance Systems (ADAS) functions running on hardware.
More in detail, it regards the design and simulation of use cases to be used for the validation of V2X and ADAS applications. To this aim, models are created in the adopted traffic simulator (ASM Traffic by dSPACE) and a number of use cases are implemented addressing the Forward Collision Warning (FCW) application as an example.
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Gargano, Ivan Enzo. "Model-Based validation of Driver Drowsiness Detection System for ADAS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25716/.
The work described in this Master’s Degree thesis was born after the collaboration with the company Maserati S.p.a, an Italian luxury car maker with its headquarters located in Modena, in the heart of the Italian Motor Valley, where I worked as a stagiaire in the Virtual Engineering team between September 2021 and February 2022.
This work proposes the validation using real-world ECUs of a Driver Drowsiness Detection (DDD) system prototype based on different detection methods with the goal to overcome input signal losses and system failures. Detection methods of different categories have been chosen from literature and merged with the goal of utilizing the benefits of each of them, overcoming their limitations and limiting as much as possible their degree of intrusiveness to prevent any kind of driving distraction: an image processing-based technique for human physical signals detection as well as methods based on driver-vehicle interaction are used. A Driver-In-the-Loop simulator is used to gather real data on which a Machine Learning-based algorithm will be trained and validated. These data come from the tests that the company conducts in its daily activities so confidential information about the simulator and the drivers will be omitted. Although the impact of the proposed system is not remarkable and there is still work to do in all its elements, the results indicate the main advantages of the system in terms of robustness against subsystem failures and signal losses.
Book chapters on the topic "Driver-In-The-Loop simulation":
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Yang, Hexu, Xiaopeng Li, Pengxiang Li, and Yu Gao. "The Driver-in-the-Loop Simulation on Regenerative Braking Control of Four-Wheel Drive HEVs." In Advances in Mechanical Design, 214–22. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9941-2_18.
Perrelli, Michele, Francesco Cosco, Domenico Lo Polito, and Domenico Mundo. "Development and Validation of a Vehicle Simulation Platform for Driver-in-the-Loop Testing." In Mechanisms and Machine Science, 355–60. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10776-4_41.
Chen, Weitao, Matthijs Klomp, Utsav Khan, Andrea Bianchi, Shenhai Ran, and Bengt Jacobson. "An Architecture of Hardware and Driver in the Loop Simulation for Electric Power Assisted Steering System." In Lecture Notes in Mechanical Engineering, 1449–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_166.
Chada, Sai Krishna, Daniel Gőrges, Achim Ebert, and Roman Teutsch. "A driver-in-the-loop co-simulation framework for testing predictive EDAS for commercial vehicles in urban environments." In Proceedings, 107–18. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-29717-6_9.
Mundo, Domenico, Roberta Gencarelli, Luca Dramisino, and Carlos Garre. "Development, Validation and RT Performance Assessment of a Platform for Driver-in-the-Loop Simulation of Vehicle Dynamics." In Mechanisms and Machine Science, 130–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03320-0_14.
Antonya, Csaba, Călin Husar, Silviu Butnariu, Claudiu Pozna, and Alexandra Băicoianu. "Driver-in-the-Loop Simulator of Electric Vehicles." In Smart Energy for Smart Transport, 135–42. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23721-8_11.
Song, Lixin, and Yuping He. "The Design of SUV Anti Rollover Controller Based on Driver-in-the-Loop Real-Time Simulations." In Intelligent Computing Methodologies, 509–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42297-8_47.
Ding, Xuejun, and Yuping He. "Application of Driver-in-the-Loop Real-Time Simulations to the Design of SUV Differential Braking Controllers." In Intelligent Robotics and Applications, 121–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33509-9_12.
Acosta, Manuel, Stratis Kanarachos, and Michael E. Fitzpatrick. "Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup." In Informatics in Control, Automation and Robotics, 582–602. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11292-9_29.
Alm, Torbjörn, Jens Alfredson, and Kjell Ohlsson. "Business Process Reengineering in the Automotive Area by Simulator-Based Design." In Simulation and Modeling, 337–58. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-198-8.ch012.
The automotive industry is facing economic and technical challenges. The economic situation calls for more efficient processes, not only production processes but also renewals in the development process. Accelerating design work and simultaneously securing safe process outcome leads to products in good correspondence with market demands and institutional goals on safe traffic environments. The technique challenge is going from almost pure mechanical constructions to mechatronic systems, where computer-based solutions may affect core vehicle functionality. Since subcontractors often develop this new technology, system integration is increasingly important for the car manufacturers. To meet these challenges we suggest the simulator-based design approach. This chapter focuses on human-in-the- loop simulation, which ought to be used for design and integration of all car functionality affecting the driver. This approach has been proved successful by the aerospace industry, which in the late 1960s recognized a corresponding technology shift.
Conference papers on the topic "Driver-In-The-Loop simulation":
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Schwarzhuber, Thomas, Lukas Wörle, Michael Graf, and Arno Eichberger. "Validity Quantification of Driver-in-the-Loop Simulation in Motorsport." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-vdc-047.
Driving simulators are indispensable tools to be competitive in motorsport, for drivers as well as engineers. Fidelity and validity of a driver-in-the-loop simulator determine its utility for car setup development, drivers' training and race strategy investigations. The conclusions drawn from race preparations at a driving simulator take its validity at the vehicle's dynamic limits as a basis. A high level of simulator fidelity does not necessarily imply validity of research outcomes. Actuators, ergonomics and screen size as well as track model, vehicle model and motion cueing algorithms could influence simulator validity. Whereas the impact of track and vehicle model can be quantified, the impact of simulator motion on simulator validity is not yet holistically defined as objective data. Therefore, a method which quantifies the overall validity and the impact of individual simulator components is of high interest for further development. The methodology to quantify simulator validity is based on driving style identification. A method was introduced earlier in our department to categorize race drivers, driving at the limit of a vehicle's dynamic capabilities. From a motorsport engineer's point of view the overarching objective of simulator development is to have minimum deviation in driving style between track and simulator tests. Race drivers' driving style is defined, but not readily apparent, by their interactions with steering wheel and pedals. Recorded data of simulator and track operation is processed to calculate metrics during specific vehicle states. In this work the resulting driver metrics are further processed to driving style deviation metrics which describe discrepancies between race track and simulator operation. An evaluation of the derived metrics allows simulator validity quantification. The impact of motion stimuli on simulator validity is compiled using the introduced method to prove its relevance. As a result, the here presented method serves as a measure of motorsport simulator validity. Additionally, the method allows to quantify driving style deviation at variable simulator setups. The impact of various simulator components on simulator validity can be analyzed consequently. A limitation of the developed methodology is that the driver metrics are only validated for the classification of professional race drivers, driving the cars at the limit of their dynamic capabilities. Furthermore, validated track and vehicle models are mandatory requirements to evaluate the impact of motion stimuli on absolute validity of the simulator. Knowledge about the impact of various components on simulator validity will provide objective guidance for future driving simulator development. In this particular case, research on evaluation and optimization of motion cueing algorithms will be carried out which is motivated by the obtained findings. Special focus will be on the motion stimuli while driving the simulated vehicle close to its dynamic limits.
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Guan, Hsin, Zhenhai Gao, Konghui Guo, and Changfu Zong. "A Driver Direction Control Model and its Application in the Simulation of Driver-Vehicle-Road Closed-Loop System." In Digital Human Modeling For Design And Engineering Conference And Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-2184.
Vermillion, Chris, K. Butts, and Kevin Reidy. "Model predictive engine torque control with real-time driver-in-the-loop simulation results." In 2010 American Control Conference (ACC 2010). IEEE, 2010. http://dx.doi.org/10.1109/acc.2010.5531241.
Yu, Xiaojun, hongfei Li, Yingdong Zheng, and Zhiqiang Zhang. "Research on hardware in the loop simulation error based on driver assistance function testing." In 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), edited by Said Easa and Wei Wei. SPIE, 2023. http://dx.doi.org/10.1117/12.2689826.
Asperti, Michele, Michele Vignati, and Edoardo Sabbioni. "Driver-in-the-Loop Simulation to Assess Steering Torque Feeling due to Torque Vectoring Control." In 2022 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE, 2022. http://dx.doi.org/10.1109/vppc55846.2022.10003336.
Bokc, Thomas, Markus Maurer, and Georg Farber. "Validation of the Vehicle in the Loop (VIL); A milestone for the simulation of driver assistance systems." In 2007 IEEE Intelligent Vehicles Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ivs.2007.4290183.
Baek, Woonhyuk, Bongsob Song, and Hoin Song. "Development of a Longitudinal Vehicle Controller via Hardware-in-the-Loop Simulation." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41824.
In this paper, a longitudinal vehicle controller is proposed for an active driver safety system and its validation via Hardware-In-Loop Simulation (HILS) is presented. Since the desired speed and distance are chosen arbitrarily by a driver, there are usually discontinuities or discrete jumps between the desired and current vehicle state right after the desired input is changed. To minimize performance degradation resulting from this discrete jump, one of nonlinear control techniques, Dynamic Surface Control (DSC) with an input-shaping filter, is applied for both velocity and distance control. Furthermore, while much cost and effort are in general required for experimental validation of the longitudinal controller, its validation via HILS is performed with a better efficiency. Finally, various switching scenarios including discrete desired inputs in terms of velocity and distance are considered and the corresponding performances of the controller are shown in the HILS.
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Zhou, Xingyu, Zejiang Wang, Adrian Cosio, Heran Shen, Hyunjin Ahn, Yung-Chi Kung, Mikhaela C. Sample, et al. "A Novel Instrumental System for Immersive Simulation-Based Driver-in-the-Loop Vehicular Technology Research and Validation." In 2023 IEEE International Automated Vehicle Validation Conference (IAVVC). IEEE, 2023. http://dx.doi.org/10.1109/iavvc57316.2023.10328070.
Ersal, Tulga, Mark Brudnak, Ashwin Salvi, Jeffrey L. Stein, Zoran Filipi, and Hosam K. Fathy. "Development of an Internet-Distributed Hardware-in-the-Loop Simulation Platform for an Automotive Application." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2709.
This paper summarizes efforts to integrate, for the first time, two geographically-dispersed hardware-in-the-loop simulation setups over the Internet in an observer-free way. The two setups are the engine-in-the-loop simulation setup at the University of Michigan (UM) in Ann Arbor, MI, USA, and the driver-in-the-loop ride motion simulator at the US Army Tank-Automotive Research, Development and Engineering Center (TARDEC) in Warren, MI, USA. The goal of this integration is to increase the fidelity of experiments and to enable concurrent engineering. First, a model-based simulation of the setup is utilized to analyze the effects of variable delay, an intrinsic characteristic of the Internet, on the integrated system, particularly in terms of stability, robustness, and transparency. Then, experiments with the actual hardware are presented. The conclusion is that the two pieces of hardware can indeed be integrated over the Internet without relying on observers in a stable and subjectively transparent manner, even if the nominal delay is increased by four times.
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Schjo̸lberg, Ingrid, Morten Hyllseth, Gunleiv Skofteland, and Ha˚vard Nordhus. "Dynamic Analysis of Compressor Trips in the Sno̸hvit LNG Refrigerant Circuits." In ASME Turbo Expo 2008: Power for Land, Sea, and Air. ASMEDC, 2008. http://dx.doi.org/10.1115/gt2008-51235.
Compressors are key components in the refrigerant circuits of the Sno̸hvit LNG plant and contain large amounts of mechanical energy. Thus it is imperative that the control system is able to keep the compressor out of surge in case of driver trip. A dynamic process simulator describing the total LNG plant has been developed by Kongsberg Process Simulation and the simulator has been applied in the engineering phase for the design and process verification. The simulator has also been used to verify the robustness of the closed loop refrigerant circuits and to verify that the refrigerant compressors are sufficiently protected after a driver trip. The presented work demonstrates the value of dynamic simulations for verification of compressor protection systems. In addition it shows the importance of using correct data for polar inertia of the rotating equipment, as well as the opening and dead times of the anti-surge valves. It is recommended to include a sensitivity analysis of these parameters as part of plant verification studies.
