China
Africa
Explore chapters and articles related to this topic
Modelica as a Platform for Real-Time Simulation
Published in Katalin Popovici, Pieter J. Mosterman, Real-Time Simulation Technologies, 2017
John J. Batteh, Michael M. Tiller, Dietmar Winkler
Otter et al. [37] demonstrated a very early application of Modelica and Dymola for real-time simulation of a detailed automatic gearbox. A model for the 4-speed automatic gearbox with a planetary and Ravigneaux gear set is developed in Modelica including the torque converter and the associated clutches to enable the various gears. The gearbox model is implemented with a simple drivetrain model to create a vehicle model. The paper described in detail several of the key Modelica models, including the implementation of the clutch model. Real-time simulation was performed using the code generated by Dymola, which was compiled using Real-Time Workshop and downloaded to a dSPACE platform for simulation. This early work demonstrated real-time capability from a Modelica model using Dymola’s symbolic manipulation for DAEs.
Real-time simulation strategies
Published in Juhani Ukko, Minna Saunila, Janne Heikkinen, R. Scott Semken, Aki Mikkola, Real-time Simulation for Sustainable Production, 2021
Minna Saunila, Mina Nasiri, Juhani Ukko
A real-time simulation model is defined as “a computer model of a physical system that can execute at the same rate as actual time” (Lee et al., 2004, p. 1441). Therefore, real-time simulation models imitate a primary system (machinery, etc.) by emulating its behaviors (Lee et al., 2004). To realize this similarity, it is necessary for the physical system to have some characteristics such as programmability, addressability, sensibility, communicability, associability, and the ability to memorize (cf., Yoo, 2010; Yoo et al., 2010). These characteristics make it possible to build a higher level of sustainability value compared to traditional production, because they demonstrate high levels of data integration. It is necessary, therefore, to study the application of real-time simulation in industrial production. In response, Chen et al. (2012, 2015) have presented several important sustainability subthemes and indicators for industrial production that may be tackled by utilizing real-time simulation. They report that the economic aspects of sustainability performance include energy use, material consumption, waste management, profitability, and manufacturing costs. The social aspects include working conditions, the work’s impact on long-term worker health, employee turnover, the proportion of permanent employees, and employee empowerment. Finally, the environmental aspects include its positive impacts on climate change, sources of energy, water quality through radiation heat transfer, water quality through solid waste, and water and soil through acidification. (Chen et al., 2012, 2015).
Real-time simulation of deformable structures by means of conventional hardware tools: Formalisms and applications
Published in Alphose Zingoni, Insights and Innovations in Structural Engineering, Mechanics and Computation, 2016
Strictly speaking, real-time simulation could be understood as a simulation, in which the computer model runs at the same rate, or even faster, than the actual physical system. Within the framework of the VR concept, this means that a simulated process of the physical system, which takes ∆t in reality, is simulated and played on the screen within ∆t.
Vehicle collisions analysis on highways based on multi-user driving simulator and multinomial logistic regression model on US highways in Michigan
Published in International Journal of Crashworthiness, 2022
Abdulla I. M. Almadi, Rabia Emhamed Al Mamlook, Irfan Ullah, Odey Alshboul, Nishantha Bandara, Ali Shehadeh
This study has conducted in the Lawrence Technological University driving simulation lab [64,65]. All participants were educated about the research and signed informed-consent forms about their driving responsibility. When each subject arrived at the lab, they were assigned a unique driver’s ID and introduced to the experiment. They then filled out a questionnaire. Personal information such as age, gender, driving license number, and driving experience was requested. We finished this questionnaire in approximately four minutes. We then introduced subjects to the driving simulator. Runtime included the experiment’s name, distinguishing between the various driving scenarios. The driving simulator used in this study included a seat, a computer, a steering wheel, an accelerator, and brakes. The computer screen displayed information for the driver, such as speed in miles per hour (mph), revolutions per minute (rpm), and the driving scenario identification. The simulator also included speakers to create the audio effect of the driving environment. The real-time simulation software used with the simulator was SimCreator 3.0. A driver’s perspective of the driving scenario replicated the segment of highway I-69 used for this study.
Hardware-in-the-Loop simulation algorithm for helicopter rotor time-varying echo signals
Published in Systems Science & Control Engineering, 2021
This study focused on the HIL simulation of helicopter rotor echo signals. To ensure that the HIL simulations met the requirements of both real-time performance and accuracy, based on a high-precision mathematical model of the time-varying echo signals of helicopter rotor blades, a high-precision, real-time simulation algorithm for helicopter rotor echoes was proposed herein. The algorithm was able to not only simulate the echo signals of different helicopter rotors but also reflect the complex m-D characteristics of the time-varying echo signals of the helicopter rotor blades accurately. Analyses show that the real-time simulation algorithm had high accuracy and superior real-time performance; therefore, the real-time simulation algorithm can be implemented in hardware platforms. Finally, comparisons with the theoretical results proved that the proposed algorithm could simulate the echo signals of different helicopter rotors accurately. As it is difficult to obtain field experimental data, the results of this study are expected to be beneficial for applications such as the detection and identification of helicopters and used for testing the quality of detection equipment for helicopters in order to reduce errors under actual field conditions.