Academic literature on the topic 'LuGre friction model'
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Journal articles on the topic "LuGre friction model"
Do, Nguyen B., Aldo A. Ferri, and Olivier A. Bauchau. "Efficient Simulation of a Dynamic System with LuGre Friction." Journal of Computational and Nonlinear Dynamics 2, no. 4 (March 18, 2007): 281–89. http://dx.doi.org/10.1115/1.2754304.
Full textJohanastrom, Karl, and Carlos Canudas-de-Wit. "Revisiting the LuGre friction model." IEEE Control Systems 28, no. 6 (December 2008): 101–14. http://dx.doi.org/10.1109/mcs.2008.929425.
Full textFreidovich, Leonid, Anders Robertsson, Anton Shiriaev, and Rolf Johansson. "LuGre-Model-Based Friction Compensation." IEEE Transactions on Control Systems Technology 18, no. 1 (January 2010): 194–200. http://dx.doi.org/10.1109/tcst.2008.2010501.
Full textZheng, Ya Qing. "Parameter Identification of LuGre Friction Model for Robot Joints." Advanced Materials Research 479-481 (February 2012): 1084–90. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1084.
Full textRajapakshe, M. P., M. Gunaratne, and A. K. Kaw. "Evaluation of LuGre Tire Friction Model with Measured Data on Multiple Pavement Surfaces." Tire Science and Technology 38, no. 3 (September 1, 2010): 213–27. http://dx.doi.org/10.2346/1.3481671.
Full textKrasmik, Viktor, and Josef Schlattmann. "An extended LuGre friction model incorporating frictional aging." PAMM 16, no. 1 (October 2016): 283–84. http://dx.doi.org/10.1002/pamm.201610130.
Full textLiu, Y. F., J. Li, Z. M. Zhang, X. H. Hu, and W. J. Zhang. "Experimental comparison of five friction models on the same test-bed of the micro stick-slip motion system." Mechanical Sciences 6, no. 1 (March 6, 2015): 15–28. http://dx.doi.org/10.5194/ms-6-15-2015.
Full textLiu, Bai Xi, and Hong Zhao Liu. "Dynamic Analysis of the Sucker-Rod Pumping System of Deviated Well Based on LuGre Friction Model." Advanced Materials Research 139-141 (October 2010): 2346–49. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2346.
Full textXIANG, Hongbiao. "Adaptive Friction Compensation Based on LuGre Model." Journal of Mechanical Engineering 48, no. 17 (2012): 70. http://dx.doi.org/10.3901/jme.2012.12.070.
Full textJiménez, René, and Luis Álvarez-Icaza. "LuGre friction model for a magnetorheological damper." Structural Control and Health Monitoring 12, no. 1 (October 11, 2004): 91–116. http://dx.doi.org/10.1002/stc.58.
Full textDissertations / Theses on the topic "LuGre friction model"
Do, Nguyen Ba. "Modeling of Frictional Contact Conditions in Structures." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7123.
Full textSun, Yun-Hsiang. "Stability of controlled mechanical system with parametric uncertainties in a realistic friction model." ASME, 2015. http://hdl.handle.net/1993/31633.
Full textOctober 2016
Längkvist, Martin. "Online Identification of Friction Coefficients in an Industrial Robot." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-19269.
Full textAll mechanical systems with moving parts are affected by friction, including industrial robots. Being able to design an accurate friction model would further increase the performance of todays robots. Friction is a complex dynamic phenomena that is constantly changing depending on the state and environment of the robot. It is therefore beneficial to update the parameters of the friction model online. An estimate of the friction will be made using the feedback control signal with the help of a feedforward control scheme in a two axis simulation setup. The friction estimate is then used for an offline identification of three friction model parameters in a static Lugre friction model. Improvements on the identification will be done by introducing some shut-off rules that will improve the estimate. The normalized least mean square method (NLMS) will then be used to update the parameters online. A simulation of friction compensation with a fixed friction model, and with an adaptive friction model will be studied. The method will also be simulated using experimental data taken from a real industrial robot.
Wondimu, Nahom Abebe. "SIMULATED AND EXPERIMENTAL SLIDING MODE CONTROL OF A HYDRAULIC POSITIONING SYSTEM." University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1145419922.
Full textRajapakshe, Madhura Priyanga Nishshanke. "Physically Meaningful Harmonization of Tire/Pavement Friction Measurement Devices." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3303.
Full textHeinze, Alexander. "Modelling, simulation and control of a hydraulic crane." Thesis, Växjö University, School of Technology and Design, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-1932.
Full textThe objective of this thesis is to develop a model that represents the dynamics of a hydraulically operated forestry crane. The model was derived with the traditional Euler-Lagrange formalism and considers the crane mechanics, three double-acting hydraulic cylinders and the valve control unit. On the basis of the derived model we reproduced the entire crane model in MATLAB in order to run simulations herewith. This gave us the possibility to do parameter changes for further studies of the crane in motion.
Another major goal within the thesis work was to estimate cylinder friction of the hydraulic actuators. We built up a test rig and used double-acting cylinders for determing their frictional behaviour. For this, we ran open-loop experiments in order to create velocity-friction maps that represented the static friction force of the cylinders. In this concern, we varied system pressure and cylinder load to study their influence on the friction force. By means of the derived static friction maps we approached the cylinder’s dynamic friction behaviour and applied both step and ramp control inputs to examine the spring-damping characteristics of the microspoic bristles in the contacting area. The dynamic friction experiments have been exerted in the fashion of the LuGre model. As a result we acquired different nominal friction parameters that we necessarily used to develope adequate friction models.
A third objective of this thesis was to establish a crane-tip control. Instead of a traditional control, providing a direct relationship between joystick input and cylinder extension, the focus was to build up a control for the end-effector’s trajectory in a two-dimensional frame. This could be achieved by using inverse kinematics in order to determine the required joint angles that corresponded to the desired position of the crane-tip.
The work also contains a CD including all developed MATLAB models that have been written within this project.
Sobczyk, Sobrinho Mario Roland. "Controle em cascata e a estrutura variável com adaptação de parâmetros e compensação de atrito de um servoposicionador pneumático." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/17563.
Full textThis work discusses the problem of the precise control of the trajectory tracking executed by a pneumatic positioning system. A mathematical model of the pneumatic positioning system is presented, with special emphasis given to the modeling of friction effects. For representing such effects, it is proposed a modification in the mathematical structure of a friction model that is widely employed in the context of the real-time control of servomechanisms (the LuGre model). The validity of the proposed approximation is justified by means of analytical arguments as well as simulation results. Based on the friction model that results from the proposed modification, a new control algorithm to be applied to the pneumatic positioning system is presented. Such algorithm is developed according to the cascade methodology, in association with the variable structure control technique and equipped with an adaptive compensation scheme of the effects of friction and external forces applied to the system. A complete stability analysis of the closed loop system is developed, and sufficient conditions are determined so that the asymptotic convergence of the tracking errors of the system to zero and of the estimated parameters to limited values is ensured. The robustness properties of the controlled system with respect to parametric uncertainties in its mathematical model are also analyzed. The performance of the controller is studied by means of simulation and experimental tests.
Yamashita, Hiroki. "Flexible multibody dynamics approach for tire dynamics simulation." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/2297.
Full textStell, Brandon. "Thermal-Fluid Dynamic Model of Luge Steels." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1793.
Full textHuang, Cong-Sheng, and 黃琮昇. "Design the High-speed Micro-motion Controller for the 3C Industry with the LuGre Friction Model." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/03298688778874177155.
Full text國立交通大學
電控工程研究所
101
Micro-motion control in the 3C industry is operated in the relatively high-frequency range compared with traditional CNC processing. The control commands are difficult to precisely follow mainly because the motion command is relatively small and it passes through zero velocity frequently to cause the problem of friction. Traditional static friction compensation, which is obtained from a constant speed operation, is suitable only when the motion command is slowly-varying in a low frequency range. Experimental results indicate that the axis is nearly stop by applying linear controllers if the motion command is small. In this Thesis, the LuGre model is adopted and a practical and systematic approach to obtain the coefficients for the LuGre model is proposed. The DSP microcontroller TMS320F28335 is adopted for the AC servo driver of permanent synchronous motor (PMSM) in this study. All the static friction compensator, dynamic friction compensator, adaptive disturbance observer (DOB) are integrated and realized in this servo driver. By applying the present controller with the LuGre model, the bandwidth of the velocity loop is improved from 394Hz to 663.7Hz, and the position loop is improved from 9.5 Hz to 113.8 Hz, separately. The LuGre model has also been realized on DYNA 1007 CNC machine and results also show that the tracking error is improved 67.5% in RMS and the tracking peak error improvement is 72.0%.
Book chapters on the topic "LuGre friction model"
Carneiro, João Falcão, and Fernando Gomes de Almeida. "LuGre Friction Model: Application to a Pneumatic Actuated System." In Lecture Notes in Electrical Engineering, 459–68. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10380-8_44.
Full textWei, Lixin, Xia Wang, and Hongrui Wang. "Robust Friction Compensation for Servo System Based on LuGre Model with Uncertain Static Parameters." In Lecture Notes in Computer Science, 206–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28648-6_32.
Full textJastrzębski, Marcin, and Jacek Kabziński. "Robustness of Adaptive Motion Control Against Fuzzy Approximation of LuGre Multi-Source Friction Model." In Advances in Intelligent Systems and Computing, 388–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60699-6_38.
Full textNa, Jing, Qiang Chen, and Xuemei Ren. "Adaptive Dynamic Surface Control of Two-Inertia Systems With LuGre Friction Model." In Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics, 37–56. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-813683-6.00005-2.
Full textNa, Jing, Qiang Chen, and Xuemei Ren. "Adaptive Sliding Mode Control of Non-linear Servo Systems With LuGre Friction Model." In Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics, 19–36. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-813683-6.00004-0.
Full textConference papers on the topic "LuGre friction model"
Freidovich, Leonid, Anders Robertsson, Anton Shiriaev, and Rolf Johansson. "Friction compensation based on LuGre model." In Proceedings of the 45th IEEE Conference on Decision and Control. IEEE, 2006. http://dx.doi.org/10.1109/cdc.2006.376780.
Full textMatsutani, Yusuke, and Hiroyuki Sugiyama. "On the Parameter Identification of LuGre Tire Friction Model." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13400.
Full textKhodabakhsh, M., G. R. Vossoughi, and A. Kamali. "Modeling of a Planar Microrobot Using LuGre Friction Model." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38782.
Full textPadthe, A. K., JinHyoung Oh, and D. S. Bernstein. "On the LuGre model and friction-induced hysteresis." In 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1657218.
Full textYi, Jingang. "On the Hybrid Physical/Dynamic Tire/Road Friction Model." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2548.
Full textHadji, Abdallah, and Njuki Mureithi. "Nonlinear Normal Modes and the LuGre Friction Model Parameter Identification." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38997.
Full textJafri, Firoz Ali, and David F. Thompson. "Study of Dynamic Characteristics of Friction: A Comparative Analysis of the Velocity Dependent and the LuGre Friction Model." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84533.
Full textLiu, De-peng. "Parameter Identification for Lugre Friction Model using Genetic Algorithms." In 2006 International Conference on Machine Learning and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icmlc.2006.258506.
Full textTsiotras, P., E. Velenis, and M. Sorine. "A LuGre tire friction model with exact aggregate dynamics." In Proceedings of the 2004 American Control Conference. IEEE, 2004. http://dx.doi.org/10.23919/acc.2004.1386781.
Full textDo, Nguyen B., Aldo A. Ferri, and Olivier Bauchau. "Efficient Simulation of a Dynamic System With LuGre Friction." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85339.
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