Thematische Bibliographien / Drive simulation model

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Auswahl der wissenschaftlichen Literatur zum Thema „Drive simulation model“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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Zeitschriftenartikel zum Thema "Drive simulation model"

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 (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 (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 (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 (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 (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 (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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