Relevant bibliographies by topics / Drive simulation model

Contents

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

Academic literature on the topic 'Drive simulation model'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Drive simulation model"

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Geetha, K., C. Preethy, and P. Thenmozhi. "Simulation Model of Solar Induction Motor Drive System Using SVPWM Technique." Bonfring International Journal of Power Systems and Integrated Circuits 7, no. 1 (February 28, 2017): 01–06. http://dx.doi.org/10.9756/bijpsic.8312.

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., Jitendra Raj Kumawat, Vikram Singh Rajpurohit ., Shani Khandelwal ., Nandkishor Gupta ., and K. G. Sharma . "SIMULATION MODEL FOR INDUCTION MOTOR DRIVE." Volume IV Issue II, February 2019 4, no. 2 (February 15, 2019): 41–46. http://dx.doi.org/10.30780/ijtrs.v04.i02.006.

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Bonoli, Paul T., and Ronald C. Englade. "Simulation model for lower hybrid current drive." Physics of Fluids 29, no. 9 (September 1986): 2937–50. http://dx.doi.org/10.1063/1.865494.

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Luo, Liang, Weimin Zhang, Haonan Sui, and Jürgen Fleischer. "An Electromechanical Co-Simulation Model Based on Lumped Parameter Model of Ball Screw Feed Drive System." MATEC Web of Conferences 237 (2018): 03007. http://dx.doi.org/10.1051/matecconf/201823703007.

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The continuous search for efficiency put forward higher requests to the machine tool for high speed and high acceleration, which makes the large-size and lightweight-designed feed drive system more likely to produce vibration during high-speed and high-acceleration feed operation. Ball screw feed system is the most widely used linear drive system in the field of industrial automation. Electromechanical Co-Simulation for ball screw feed drive dynamics is an important technique for solving vibration problems occurs in the feed motion. In view of the shortcomings of the current dynamic simulation model in the study of vibration of ball screw feed drive system, taking a ball screw feed drive system test bench as an example, an electromechanical co-simulation model based on the lumped parameter model of ball screw feed drive system was built up in this paper. Firstly, based on the axial and rotation vibration integrated dynamic modeling method of ball screws, the lumped parameter model of ball screw feed system was established. Secondly, through the integration of the simulation model of semi-closed-loop cascade control system and the lumped parameter model of ball screw feed drive system, an electromechanical co-simulation model was built up. Simulation result shows that, the co-simulation model of ball screw feed drive system can predict the vibration occurs in the feed operation caused by the servo controller, ball screw feed system or the coupling between them.
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Rinkevičienė, R., V. Batkauskas, Andrius Petrovas, and Saulius Lisauskas. "Model of a Sensorless Induction Drive." Solid State Phenomena 164 (June 2010): 85–90. http://dx.doi.org/10.4028/www.scientific.net/ssp.164.85.

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The paper deals with modeling, simulation and analysis of speed observer for induction drive. Mathematical model of observer is presented and its computer model is elaborated. Speed measurement results are compared with those obtained during simulations with induction motor model. Development and implementation of speed observer requires measurement of motor current and supply voltage. Simulated values of current and voltage are used in the proposed observer model instead of the real ones. Model of induction motor is developed on the basis of motor equations in stationary reference frame. Model of observer relies on nonlinear differential equations, describing performance of induction motor, additionally making use of the space-vector theory. The speed observer developed by means of direct synthesis from state equations is robust with respect to parameter and load variations.
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Chen, Gang, Weigong Zhang, and Bing Yu. "Multibody dynamics modeling of electromagnetic direct-drive vehicle robot driver." International Journal of Advanced Robotic Systems 14, no. 5 (September 1, 2017): 172988141773189. http://dx.doi.org/10.1177/1729881417731896.

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Collaborative dynamics modeling of flexible multibody and rigid multibody for an electromagnetic direct-drive vehicle robot driver is proposed in the article. First, spatial dynamic equations of the direct-drive vehicle robot driver are obtained based on multibody system dynamics. Then, the shift manipulator dynamics model and the mechanical leg dynamics model are established on the basis of the multibody dynamics equations. After establishing a rigid multibody dynamics model and conducting finite element mesh and finite element discrete processing, a flexible multibody dynamics modeling of the electromagnetic direct-drive vehicle robot driver is established. The comparison of the simulation results between rigid and flexible multibody is performed. Simulation and experimental results show the effectiveness of the presented model of the electromagnetic direct-drive vehicle robot driver.
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Zou, Z., Y. Zhang, X. Zhang, and W. Tobler. "Modeling and Simulation of Traction Drive Dynamics and Control." Journal of Mechanical Design 123, no. 4 (October 1, 2000): 556–61. http://dx.doi.org/10.1115/1.1402128.

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This paper presents an analytical model for the simulation of traction drive dynamics and control in ratio change processes. The model systematically incorporates the formulations on the kinematics, dynamics and control characteristics of traction drives. In the model, the motion parameters of traction drive components are coupled to CVT inputs and outputs, torque losses, as well as ratio variations. The characteristics of a dual-feedback ratio control system are formulated in Laplace transform and integrated into the overall CVT system. The model is implemented in Matlab/Simulink block diagrams and is capable of predicting traction drive performances under various ratio change conditions. The effectiveness of the model is illustrated in a numerical example by the comparison between the simulation and experimental data on key CVT performance parameters.
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Asgary, Ali, Svetozar Zarko Valtchev, Michael Chen, Mahdi M. Najafabadi, and Jianhong Wu. "Artificial Intelligence Model of Drive-Through Vaccination Simulation." International Journal of Environmental Research and Public Health 18, no. 1 (December 31, 2020): 268. http://dx.doi.org/10.3390/ijerph18010268.

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Planning for mass vaccination against SARS-Cov-2 is ongoing in many countries considering that vaccine will be available for the general public in the near future. Rapid mass vaccination while a pandemic is ongoing requires the use of traditional and new temporary vaccination clinics. Use of drive-through has been suggested as one of the possible effective temporary mass vaccinations among other methods. In this study, we present a machine learning model that has been developed based on a big dataset derived from 125K runs of a drive-through mass vaccination simulation tool. The results show that the model is able to reasonably well predict the key outputs of the simulation tool. Therefore, the model has been turned to an online application that can help mass vaccination planners to assess the outcomes of different types of drive-through mass vaccination facilities much faster.
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Piaggio, Benedetto, Michele Viviani, Michele Martelli, and Massimo Figari. "Z-Drive Escort Tug manoeuvrability model and simulation." Ocean Engineering 191 (November 2019): 106461. http://dx.doi.org/10.1016/j.oceaneng.2019.106461.

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Zheng, Jun Bao, and Ya Ming Wang. "Motion-Estimation-Drive Fabric Dynamic Simulation." Applied Mechanics and Materials 490-491 (January 2014): 767–71. http://dx.doi.org/10.4028/www.scientific.net/amm.490-491.767.

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This paper proposes an approach to improve the reality effect of fabric dynamic simulation based on mass-spring model. The major problem encountered in fabric dynamic simulation is the difficulty to determine the characteristic of material and the changes of deformation force. To solve this problem, feature points motion constraints are introduced into the mass-spring model. This paper also establishes a framework of an approach to recover feature points motion based on non-rigid motion trajectory representation model. Then the recovered 3D estimation of the fabric feature points are used to adjust the simulation computing process of the mass-spring model, and simulation results with good reality are obtained. The experimental results for fabric dynamic simulation demonstrate the feasibility of improving the reality effect by the proposed motion-estimation-drive approach.
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Dissertations / Theses on the topic "Drive simulation model"

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League, Richard B. "Bond graph model and computer simulation of a hydrostatic drive test stand." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/50042.

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A hydrostatic drive test stand was constructed to aid in the instruction of the characteristics of hydrostatic transmissions and to develop a time-varying load in a shaft to compare torque transducers. A mathematical model of the device was derived using the bond graph approach and was implemented using the Advanced Continuous Simulation Language (ACSL). The test stand was used to obtain experimental data to try to refine the model parameters. To facilitate the measurement of system flows, a microprocessor-based digital flow indicator was developed. Steady-state tests were performed at various constant pump swashplate angles; for the dynamic tests, the pump swashplate angle was cycled from zero degrees to 6.5 degrees.
Master of Science
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Starke, Martin, Benjamin Beck, Denis Ritz, Frank Will, and Jürgen Weber. "Frequency based efficiency evaluation - from pattern recognition via backwards simulation to purposeful drive design." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71072.

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The efficiency of hydraulic drive systems in mobile machines is influenced by several factors, like the operators’ guidance, weather conditions, material respectively loading properties and primarily the working cycle. This leads to varying operation points, which have to be performed by the drive system. Regarding efficiency analysis, the usage of standardized working cycles gained through measurements or synthetically generated is state of the art. Thereby, only a small extract of the real usage profile is taken into account. This contribution deals with process pattern recognition (PPR) and frequency based efficiency evaluation to gain more precise information and conclusion for the drive design of mobile machines. By the example of an 18 t mobile excavator, the recognition system using Hidden – Markov - Models (HMM) and the efficiency evaluation process by means of backwards simulation of measured operation points will be described.
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Almén, Marcus. "Driver Model for Mission-Based Driving Cycles." Thesis, Linköpings universitet, Fordonssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140158.

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When further demands are placed on emissions and performance of cars, trucks and busses, the vehicle manufacturers are looking to have cheap ways to evaluate their products for specific customers' needs. Using simulation tools to quickly compare use cases instead of manually recording data is a possible way forward. However, existing traffic simulation tools do not provide enough detail in each vehicle for the driving to represent real life driving patterns with regards to road features. For the purpose of this thesis data has been recorded by having different people drive a specific route featuring highway driving, traffic lights and many curves. Using this data, models have then been estimated that describe how human drivers adjust their speed through curves, how long braking distances typically are with respect to the driving speed, and the varying deceleration during braking sequences. An additional model has also been created that produces a speed variation when driving on highways. In the end all models are implemented in Matlab using a traffic control interface to interact with the traffic simulation tool SUMO. The results of this work are promising with the improved simulation being able to replicate the most significant characteristics seen from human drivers when approaching curves, traffic lights and intersections.
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Zsolt, Pap Levente. "Model Predictive Control of Electric Drives -Design, Simulation and Implementation of PMSM Torque Control." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240365.

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The thesis deals with the design of a permanent magnet synchronous machine controller that isimplemented on an embedded platform to replace the off-the-shelf controller currently being used in theelectric race car of the KTH Formula Student team. Software implementation of the control algorithmwas tested in laboratory environment on the hardware prototype of a 2-level three-phase voltage sourceinverter.Field oriented control and finite control set model predictive control algorithms were implemented insimulation environment. The latter performed better in terms of reducing switching activity and torqueripple, but needs vastly more computational resources due to its nature of being an online optimizationproblem. Trade-off curve of phase current harmonic distortion and switching activity showed that themodel prediction control algorithm performs better in the low frequency range (1-20 kHz). Obtainedsimulation results were used for power electronics component selection.Field oriented control was implemented on a TMS320F28335 DSP. SPI communication was employedto configure gate driver circuits and perform error handling. The DSP program follows interrupt basedorganization and the main control loop runs on the variable frequency of the pulse width modulation.Low voltage test results on three-phase inductive-resistive load showed that the controller outputssinusoidal current. Efficiency measurement, high voltage and motor testing were hindered by interferencefrom the Silicon-Carbide MOSFETs that prohibited correct operation of hardware.
Den här uppsatsen handlar om designen och implementeringen av en motorstyrning för en permanen- magnetiserad synkronmotor, med syfte att ersätta standardmotorstyrningsenheten i KTH Formula Students tävlingsbil. Implementationen av styralgoritmen testades experimentellt tillsammans med en prototyptillverkad frekvensomriktare i labbmiljö. Regleralgoritmer för field oriented control och finite control set model predictive control implementerades och testades i simuleringsmiljö. Den senare algoritmen visade sig prestera bättre i form av lägre vridmomentsoscillationer trots lägre switch-frekvens men den kräver samtidigt mer beräkningskraft. Övertonsinnehållet (THD) i fasströmmarna som funktion av switchfrekvensen undersöktes för de båda regleralgoritmerna, algoritmen för model predictive control gav lägre THD vid lägre frekvenser (1-20 kHz). Simuleringsresultaten användes för att motivera valet av komponenter till frekvensomriktaren. Regleralgoritmen för field oriented control implementerades och testades experimentellt med hjälp av ett utvecklingskort (TMS320F28335) från Texas Instruments. SPI-kommunikation användes för att konfigurera drivkretsana samt för att utläsa felkoder. Experimentalla tester som utfördes på låg spänningsnivå visade att strömmen till lasten var sinusformad. Mätning av verkningsgrad och provning tillsammans med motorn på en högre spänningsnivå gick inte att geno av att de snabba switchförloppen i kiselkarbidtransistorerna störde ut motorstyrningen.
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Abdul-Jalal, Rifqi I. "Engine thermal management with model predictive control." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/24274.

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The global greenhouse gas CO2 emission from the transportation sector is very significant. To reduce this gas emission, EU has set an average target of not more than 95 CO2/km for new passenger cars by the year 2020. A great reduction is still required to achieve the CO2 emission target in 2020, and many different approaches are being considered. This thesis focuses on the thermal management of the engine as an area that promise significant improvement of fuel efficiency with relatively small changes. The review of the literature shows that thermal management can improve engine efficiency through the friction reduction, improved air-fuel mixing, reduced heat loss, increased engine volumetric efficiency, suppressed knock, reduce radiator fan speed and reduction of other toxic emissions such as CO, HC and NOx. Like heat loss and friction, most emissions can be reduced in high temperature condition, but this may lead to poor volumetric efficiency and make the engine more prone to knock. The temperature trade-off study is conducted in simulation using a GT-SUITE engine model coupled with the FE in-cylinder wall structure and cooling system. The result is a map of the best operating temperature over engine speed and load. To quantify the benefit of this map, eight driving styles from the legislative and research test cycles are being compared using an immediate application of the optimal temperature, and significant improvements are found for urban style driving, while operation at higher load (motorway style driving) shows only small efficiency gains. The fuel consumption saving predicted in the urban style of driving is more than 4%. This assess the chance of following the temperature set point over a cycle, the temperature reference is analysed for all eight types of drive cycles using autocorrelation, lag plot and power spectral density. The analysis consistently shows that the highest volatility is recorded in the Artemis Urban Drive Cycle: the autocorrelation disappears after only 5.4 seconds, while the power spectral density shows a drop off around 0.09Hz. This means fast control action is required to implement the optimal temperature before it changes again. Model Predictive Control (MPC) is an optimal controller with a receding horizon, and it is well known for its ability to handle multivariable control problems for linear systems with input and state limits. The MPC controller can anticipate future events and can take control actions accordingly, especially if disturbances are known in advance. The main difficulty when applying MPC to thermal management is the non-linearity caused by changes in flow rate. Manipulating both the water pump and valve improves the control authority, but it also amplifies the nonlinearity of the system. Common linearization approaches like Jacobian Linearization around one or several operating points are tested, by found to be only moderately successful. Instead, a novel approach is pursued using feedback linearization of the plant model. This uses an algebraic transformation of the plant inputs to turn the nonlinear systems dynamics into a fully or predominantly linear system. The MPC controller can work with the linear model, while the actual control inputs are found using an inverse transformation. The Feedback Linearization MPC of the cooling system model is implemented and testing using MathWork Simulink®. The process includes the model transformation approach, model fitting, the transformation of the constraints and the tuning of the MPC controller. The simulation shows good temperature tracking performance, and this demonstrates that a MPC controller with feedback linearization is a suitable approach to thermal management. The controller strategy is then validated in a test rig replicating an actual engine cooling system. The new MPC controller is again evaluated over the eight driving cycles. The average water pump speed is reduced by 9.1% compared to the conventional cooling system, while maintaining good temperature tracking. The controller performance further improves with future disturbance anticipation by 20.5% for the temperature tracking (calculated by RMSE), 6.8% reduction of the average water pump speed, 47.3% reduction of the average valve movement and 34.0% reduction of the average radiator fan speed.
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Matiaško, Dušan. "Modely a simulace pochodů bezemisního mini-exkavátoru s elektrickým pohonem." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442805.

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The diploma thesis dealt with a partial problem of conversion of the mini-excavator E19 by Bobcat with an internal combustion engine to emission-free propulsion. The main task was design and construction of electrical and hydraulic circuits focusing on the drive of a mini-excavator. The simulations verified the properties and behavior of the mini-excavator under different conditions and initial settings. The results were comfirmed by experimental measurements. The output of the simulations recommended adjustments to the values of individual parameters depending on the travel speed but also the efficiency of the entire machine.
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Wittwer, Max. "Modelling and Design of a Test Rig to investigate the dynamic behaviour of a Servo driven Powertrain." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-232565.

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In the present work a simulation model for examining the fundamental dynamic behaviour of a servo driven powertrain is developed. This powertrain consists of a permanent magnet synchronous motor, a cycloidal gearbox and a torque motor to apply a load. On basis of this model the selection of components for the design of a test rig is possible. This leads to the constructive draft of the test rig. In order to model the system, the fundamentals give a brief overview of the components incorporated in the test rig system. With ais of the specified task the simulation purpose is defined and the modelling process enabled. The subsequent system analysis is performed intensively to decompose the system into subsystems, which are then investigated to find the optimal modelling approach for the given simulation task. Particular emphasis is put on the investigation of the cycloidal gearbox subsystem and it shows, that approaches for modelling the dynamic behaviour of the gearbox as a whole have only been published partially. Therefore, the available modelling approaches are analysed and suitable models are developed as conceptual models. Those will be formalised and implemented in Matlab/Simulink. The model is verified and simulation experiments are performed, that help in the selection of suitable test rig components. On basis of a flexible test rig, finally the constructive draft is presented.
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Křepela, Jan. "Dynamické vlastnosti osy C pro multifunkční soustružnické centrum." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-233982.

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his Disertation thesis involves the creating of the simulation model of the C axis drive over mentioned machine and them verification on the prototype of this machine. C axis is controlled with position feedback. Simulation model was created before the realisation of the machine prototype for the preliminary identification of the dynamic behaviours in the working cycles and them opportunity of the realisation this conception. C axis is constructed with worm gear and is controlled with help of Master-Slave drive. This torque drive eliminates the production backlash in the worm gear. The multifunction turning center, where is used this C axis, is determinate for heavy duty roughing cutting of the forged peaces, where is problem with dynamic stability of the cutting process. Simulation model includes the problems with multi-body mass system, friction on the worm gear, self locking, damping on the worm gear and the optimization of the parametrs for many regulators. Simulation model was verified on the prototype of the machine. Achieved results bring the new knowledge, which are used for simulation complicated machine nodes and this knowledge is used for research and developing of the similar mechatronics system.
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Liu, Chang. "Drive-By Bridge Damage Identification Through Virtual Simulations." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31624.

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With massive infrastructures built in US, timely condition assessment of these infrastructures becomes critical to daily traffic and economics. Due to high cost, long time consumption of direct condition assessment methods, such as closing traffic for sensor installation and monitoring, indirect bridge monitoring has become a promising method. However, the technology is in its initial stage and needs substantial refinement. In this research, virtual simulation approaches, both in 2D and 3D, are used to model the bridge and vehicle interaction through ABAQUS. Artificial Damages were embedded to the model according to different locations and different levels of intensities. With the modelled outcomes, the hypothesis of identifying damages through the responses of the vehicle will be tested. From the simulated vehicle responses, bridge frequencies and damage locations and sizes could be identified accurately through short time flourier transformation and mode shape difference.
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Hu, Bo. "Model compiler driven device modeling and circuit simulation /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/6054.

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Books on the topic "Drive simulation model"

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Davis, William D. A sensor-driven fire model. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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Davis, William D. A sensor-driven fire model. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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Davis, William D. A sensor-driven fire model. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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Davis, William D. A sensor-driven fire model. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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Hatzivasilis, George, and Sotiris Ioannidis, eds. Model-driven Simulation and Training Environments for Cybersecurity. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62433-0.

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Bjornar, Solhaug, and Stølen Ketil, eds. Model-driven risk analysis: The CORAS approach. Berlin: Springer, 2010.

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Krzysztof, Czarnecki, ed. Model driven engineering languages and systems: 11th international conference, MoDELS 2008, Toulouse, France, September 28 - October 3, 2008 : proceedings. [New York]: Springer, 2008.

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MoDELS 2008 (2008 Toulouse, France). Model driven engineering languages and systems: 11th international conference, MoDELS 2008, Toulouse, France, September 28 - October 3, 2008 : proceedings. [New York]: Springer, 2008.

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MoDELS 2008 (2008 Toulouse, France). Model driven engineering languages and systems: 11th international conference, MoDELS 2008, Toulouse, France, September 28 - October 3, 2008 : proceedings. [New York]: Springer, 2008.

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Katz, Shmuel. Transactions on Aspect-Oriented Software Development VI: Special Issue on Aspects and Model-Driven Engineering. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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Book chapters on the topic "Drive simulation model"

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Eicke, Simon, Steffen Zemke, Ahmed Trabelsi, Matthias Dagen, and Tobias Ortmaier. "Model-Based Control Design for Comfort Enhancement During Drive Off Maneuvers." In Simulation and Testing for Vehicle Technology, 217–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32345-9_16.

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Zhang, Xudong. "Simulation and Verification on the Proposed Model and Control Strategy." In Modeling and Dynamics Control for Distributed Drive Electric Vehicles, 141–86. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32213-7_8.

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Zhang, Xudong. "Simulation and Verification on the Proposed Model and Control Strategy." In Modeling and Dynamics Control for Distributed Drive Electric Vehicles, 141–86. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32213-7_8.

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Řehák, Kamil, Barbora Kopečková, and Aleš Prokop. "Gear Drive System Simulation with Different Model of Input Speed." In Springer Proceedings in Physics, 331–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69823-6_39.

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Woźniak, Adam. "A Simple Model of Drive with Friction for Control System Simulation." In Lecture Notes in Computer Science, 897–906. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44862-4_97.

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Diestmann, Thomas, Nils Broedling, Benedict Götz, and Tobias Melz. "Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair." In Lecture Notes in Mechanical Engineering, 191–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.

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AbstractCompetitive industrial transmission systems must perform most efficiently with reference to complex requirements and conflicting key performance indicators. This design challenge translates into a high-dimensional multi-objective optimization problem that requires complex algorithms and evaluation of computationally expensive simulations to predict physical system behavior and design robustness. Crucial for the design decision-making process is the characterization, ranking, and quantification of relevant sources of uncertainties. However, due to the strict time limits of product development loops, the overall computational burden of uncertainty quantification (UQ) may even drive state-of-the-art parallel computing resources to their limits. Efficient machine learning (ML) tools and techniques emphasizing high-fidelity simulation data-driven training will play a fundamental role in enabling UQ in the early-stage development phase.This investigation surveys UQ methods with a focus on noise, vibration, and harshness (NVH) characteristics of transmission systems. Quasi-static 3D contact dynamic simulations are performed to evaluate the static transmission error (TE) of meshing gear pairs under different loading and boundary conditions. TE indicates NVH excitation and is typically used as an objective function in the early-stage design process. The limited system size allows large-scale design of experiments (DoE) and enables numerical studies of various UQ sampling and modeling techniques where the design parameters are treated as random variables associated with tolerances from manufacturing and assembly processes. The model accuracy of generalized polynomial chaos expansion (gPC) and Gaussian process regression (GPR) is evaluated and compared. The results of the methods are discussed to conclude efficient and scalable solution procedures for robust design optimization.
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Vorms, Marion, and David Lagnado. "Coherence and Credibility in the Story-Model of Jurors’ Decision-Making: Does Mental Simulation Really Drive the Evaluation of the Evidence?" In Model-Based Reasoning in Science and Technology, 103–19. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32722-4_7.

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Ngouani, M. M. Siewe, Yong Kang Chen, R. Day, and O. David-West. "Low-Speed Aerodynamic Analysis Using Four Different Turbulent Models of Solver of a Wind Turbine Shroud." In Springer Proceedings in Energy, 149–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_19.

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AbstractThis study presents the effect of four different turbulent models of solver on the aerodynamic analysis of a shroud at wind speed below 6 m/s. The converting shroud uses a combination of a cylindrical case and an inverted circular wing base which captures the wind from a 360° direction. The CFD models used are: the SST (Menter) k-ω model, the Reynolds Stress Transport (RST) model, the Improved Delay Detached Eddies Simulation model (IDDES) SST k-ω model and the Large Eddies Simulation Wall Adaptive model. It was found that all models have predicted a convergent surface pressure. The RST, the IDDES and the WALE LES are the only models which have well described regions of pressure gradient. They have all predicted a pressure difference between the planes (1–5) which shows a movement of the air from the lower plane 1 (inlet) to the higher plane 5 (outlet). The RST and IDDES have predicted better vorticities on the plane 1 (inlet). It was also found that the model RST, IDDES, and WALE LES have captured properly the area of turbulences across the internal region of the case. All models have predicted the point of flow separation. They have also revealed that the IDDES and the WALE LES can capture and model the wake eddies at different planes. Thus, they are the most appropriate for such simulation although demanding in computational power. The movement of air predicted by almost all models could be used to drive a turbine.
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Topçu, Okan, Umut Durak, Halit Oğuztüzün, and Levent Yilmaz. "Model Driven Engineering." In Simulation Foundations, Methods and Applications, 23–38. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-03050-0_2.

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Křepela, J., and V. Singule. "Verification of the Simulation Model for C Axis Drive in the Control System Master-Slave by the Turning Centre." In Recent Advances in Mechatronics, 365–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05022-0_62.

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Conference papers on the topic "Drive simulation model"

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Park, Sang-Hoon, Won-Cheol Lee, Jung-Hyo Lee, Jae-Sung Yu, Gyu-Sik Kim, and Chung-Yuen Won. "Simulation model for a seven-phase BLDCM drive system." In International Workshop and Conference on Photonics and Nanotechnology 2007, edited by Minoru Sasaki, Gisang Choi Sang, Zushu Li, Ryojun Ikeura, Hyungki Kim, and Fangzheng Xue. SPIE, 2007. http://dx.doi.org/10.1117/12.784228.

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Полющенков, Игорь, and Igor' Polyuschenkov. "THE USE OF MODEL-ORIENTED PROGRAMMING TECHNIQUE IN THE DEVELOPMENT OF ELECTRIC DRIVE." In CAD/EDA/Simulation in Modern Electronics. Bryansk State Technical University, 2018. http://dx.doi.org/10.30987/conferencearticle_5c19e62314a573.56890645.

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Vingbäck, Johan, and Peter Jeppsson. "Development of a Drive Cycle Simulation Model for Hybrid Powertrains." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71093.

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In this paper a modular numerical simulation model for hybrid powertrains is presented. The simulation model is based on common design parameters and measurements for fuel efficiency and vehicle performance. Implemented in Simulink, the main model is expandable to combine the strengths of different types of simulation tools. As the design process proceeds, parts of the model can gradually be replaced with instances containing one or more subsystem modelled in the appropriate tool, including CAD, FEA and MBD, incrementally increasing the accuracy of the model of the overall system yet keeping the simulation time reasonable. Subsystems can be replaced to support hardware input and/or output, resulting in a so-called hardware-in-the-loop simulation. The presented system has shown to be modular as all the components contain their physical properties and can be modified, replaced or reorganized without the modification of any other subsystem. The simulation model of the powertrain is easily modified in order to allow the simulation of multiple designs with the same components. The systeam also has the same information flow as would be observed in a physical powertrain.
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Scott, Timothy C., and Zhe Xie. "Viscous Fan Drive Model for Robust Cooling Air Flow Simulation." In SAE World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-0595.

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Zhijun, E., K. W. Chan, and D. Z. Fang. "Hybrid Simulation of Power Systems with Dynamic Phasor SVC Transient Model." In 2007 7th International Conference on Power Electronics and Drive Systems. IEEE, 2007. http://dx.doi.org/10.1109/peds.2007.4487933.

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Uchida, Takanao, Naoki Hanada, Yoshihisa Furukawa, and Kiyohisa Tomono. "Development of Simulation Model for Calculating Loads to Synchronous Drive Belt." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1993. http://dx.doi.org/10.4271/930622.

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Porwal, Shikha, Pradeep Chhawchharia, and Rajesh Pandey. "Simplified half wave rectifier model for improved laboratory simulation using PSpice." In 2009 International Conference on Power Electronics and Drive Systems (PEDS 2009). IEEE, 2009. http://dx.doi.org/10.1109/peds.2009.5385656.

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Zou, Z., Y. Zhang, X. Zhang, and W. Tobler. "Simulation of Traction Drive Ratio Changes." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/ptg-14406.

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Abstract In the simulation model presented in this paper, the kinematic characteristics of traction drives are formulated using classical Hertzian contact theory and elasto-hydrodynamic theory. The roller swing motion is governed by an equation derived based on Newton’s Second Law and is coupled to the side slip, torque input and output, as well as ratio variations. A control strategy with feedbacks for both the roller swing and the piston displacement is applied for ratio control based on stability and responsiveness considerations. The model has been implemented systematically in Matlab/Simulink environment. The effectiveness of the ratio control system in terms of stability and accuracy is illustrated by the simulation results included in this paper.
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Hiroki Goto, Kensuke Kimura, Kenji Nakamura, and Osamu Ichinokura. "Simulation of IPM motor with current vector control drive and DTC drive by nonlinear magnetic circuit model." In 2008 International Conference on Electrical Machines (ICEM). IEEE, 2008. http://dx.doi.org/10.1109/icelmach.2008.4800217.

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Angelopoulou, Anastasia, and Sonipriya Paul. "Discrete event simulation of a drive-through COVID-19 mass vaccination model: senior population prioritization strategies." In The 33rd European Modeling & Simulation Symposium. CAL-TEK srl, 2021. http://dx.doi.org/10.46354/i3m.2021.emss.036.

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Reports on the topic "Drive simulation model"

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Ding, Yan, Sung-Chan Kim, Rusty L. Permenter, Richard B. Styles, and Jeffery A. Gebert. Simulations of Shoreline Changes along the Delaware Coast. Engineer Research and Development Center (U.S.), January 2021. http://dx.doi.org/10.21079/11681/39559.

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This technical report presents two applications of the GenCade model to simulate long-term shoreline evolution along the Delaware Coast driven by waves, inlet sediment transport, and longshore sediment transport. The simulations also include coastal protection practices such as periodic beach fills, post-storm nourishment, and sand bypassing. Two site-specific GenCade models were developed: one is for the coasts adjacent to the Indian River Inlet (IRI) and another is for Fenwick Island. In the first model, the sediment exchanges among the shoals and bars of the inlet were simulated by the Inlet Reservoir Model (IRM) in the GenCade. An inlet sediment transfer factor (γ) was derived from the IRM to quantify the capability of inlet sediment bypassing, measured by a rate of longshore sediments transferred across an inlet from the updrift side to the downdrift side. The second model for the Fenwick Island coast was validated by simulating an 11-y ear-long shoreline evolution driven by longshore sediment transport and periodic beach fills. Validation of the two models was achieved through evaluating statistical errors of simulations. The effects of the sand bypassing operation across the IRI and the beach fills in Fenwick Island were examined by comparing simulation results with and without those protection practices. Results of the study will benefit planning and management of coastal sediments at the sites.
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G.Y. Fu, J. Breslau, E. Fredrickson, W. Park, and H.R. Strauss. Global Hybrid Simulations of Energetic Particle-driven Modes in Toroidal Plasmas. Office of Scientific and Technical Information (OSTI), December 2004. http://dx.doi.org/10.2172/836480.

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Sprock, Timothy. A Model-Driven Approach to Interoperability Between Simulation and Optimization for Production and Logistics Systems. National Institute of Standards and Technology, December 2020. http://dx.doi.org/10.6028/nist.ir.8326.

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Jardin, S. C., and J. A. Schmidt. TSC simulation of feedback stabilization of axisymmetric modes in tokamaks using driven halo currents. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/304167.

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D'Elia, Marta, Stewart Silling, Huaiqian You, and Yue Yu. Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws. Office of Scientific and Technical Information (OSTI), December 2020. http://dx.doi.org/10.2172/1735693.

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Aadithya, Karthik Venkatraman, Paul Allen Kuberry, Biliana Stefanova Paskaleva, Pavel B. Bochev, Kenneth Michael Leeson, Alan Mar, Ting Mei, and Eric R. Keiter. Development, Demonstration and Validation of Data-Driven Compact Diode Models for Circuit Simulation and Analysis. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1592881.

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Sadigh, B. LDRD Final Report (08-ERD-037): Important Modes to Drive Protein MD Simulations to the Next Conformational Level. Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1022884.

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Guidati, Gianfranco, and Domenico Giardini. Joint synthesis “Geothermal Energy” of the NRP “Energy”. Swiss National Science Foundation (SNSF), February 2020. http://dx.doi.org/10.46446/publication_nrp70_nrp71.2020.4.en.

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Near-to-surface geothermal energy with heat pumps is state of the art and is already widespread in Switzerland. In the future energy system, medium-deep to deep geothermal energy (1 to 6 kilometres) will, in addition, play an important role. To the forefront is the supply of heat for buildings and industrial processes. This form of geothermal energy utilisation requires a highly permeable underground area that allows a fluid – usually water – to absorb the naturally existing rock heat and then transport it to the surface. Sedimentary rocks are usually permeable by nature, whereas for granites and gneisses permeability must be artificially induced by injecting water. The heat gained in this way increases in line with the drilling depth: at a depth of 1 kilometre, the underground temperature is approximately 40°C, while at a depth of 3 kilometres it is around 100°C. To drive a steam turbine for the production of electricity, temperatures of over 100°C are required. As this requires greater depths of 3 to 6 kilometres, the risk of seismicity induced by the drilling also increases. Underground zones are also suitable for storing heat and gases, such as hydrogen or methane, and for the definitive storage of CO2. For this purpose, such zones need to fulfil similar requirements to those applicable to heat generation. In addition, however, a dense top layer is required above the reservoir so that the gas cannot escape. The joint project “Hydropower and geo-energy” of the NRP “Energy” focused on the question of where suitable ground layers can be found in Switzerland that optimally meet the requirements for the various uses. A second research priority concerned measures to reduce seismicity induced by deep drilling and the resulting damage to buildings. Models and simulations were also developed which contribute to a better understanding of the underground processes involved in the development and use of geothermal resources. In summary, the research results show that there are good conditions in Switzerland for the use of medium-deep geothermal energy (1 to 3 kilometres) – both for the building stock and for industrial processes. There are also grounds for optimism concerning the seasonal storage of heat and gases. In contrast, the potential for the definitive storage of CO2 in relevant quantities is rather limited. With respect to electricity production using deep geothermal energy (> 3 kilometres), the extent to which there is potential to exploit the underground economically is still not absolutely certain. In this regard, industrially operated demonstration plants are urgently needed in order to boost acceptance among the population and investors.
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