Modeling and Analysis of Longitudinal Tire Dynamics Based on the LuGre Friction Model
Proceedings of 3rd IFAC Workshop Advances in Automotive Control, pp. 101-106, Karlsruhe, Germany2001A brush representation of the longitudinal tire dynamics model is discussed in the paper. It is shown that the dynamic tire model can be derived from any dynamic bearing friction model in a straightforward way. Several modifications of the recently published tire model based on the LuGre friction model are proposed, resulting in a consistent lumped form of the tire model. Based on the linearized lumped tire model, an analysis of the influence of tire dynamics on overall vehicle dynamics behavior is carried out. tire; modeling; analysis; friction; vehicle dynamics
Cited by 54
▾
-
[1]
Piezo-actuated smart mechatronic systems: Nonlinear modeling, identification, and control🔗
Mechanical systems and signal processing, 2024
-
[2]
Finite element modelling of linear rolling contact problems🔗
ESAIM: Mathematical Modelling and Numerical Analysis, 2024
-
[3]
An Improved Control-Oriented Tire Model and Its Applications on Intelligent Vehicles🔗
IEEE Transactions on Intelligent Vehicles, 2024
-
-
-
[6]
Data-Driven Adaptive Torque Allocation for Electric Vehicles🔗
International Conference on Control, Decision and Information Technologies, 2023
-
[7]
Optimal control for anti-lock braking system: Output feedback adaptive controller design and processor in the loop validation test🔗
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2022
-
[8]
An extended LuGre-brush tyre model for large camber angles and turning speeds🔗
Vehicle System Dynamics, 2022
-
[9]
Adaptive Backstepping Control of Antilock Braking System Based on LuGre Model🔗
Annual Conference of the IEEE Industrial Electronics Society, 2021
-
[10]
Generalized Inverse Multiplicative Structure for Differential-Equation-Based Hysteresis Models🔗
IEEE transactions on industrial electronics (1982. Print), 2021
-
[11]
Performance Analysis of SVM, ANN and KNN Methods for Acoustic Road-Type Classification🔗
International Symposium on INnovations in Intelligent SysTems and Applications, 2019
-
[12]
Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-Type Estimation🔗
IEEE Transactions on Intelligent Vehicles, 2019
-
-
[14]
Road-types classification using audio signal processing and SVM method🔗
Signal Processing and Communications Applications Conference, 2017
-
[15]
Towards a fully coordinated vehicle control strategy🔗
International Conference on Advances in Computational Tools for Engineering Applications, 2016
-
-
[17]
Intelligent traction control in electric vehicles using an acoustic approach for online estimation of road-tire friction🔗
2013 IEEE Intelligent Vehicles Symposium (IV), 2013
-
-
-
-
[21]
Notice of RetractionPrediction of automobile tire driving force characteristics🔗
International Conference on Computer, Mechatronics, Control and Electronic Engineering, 2010
-
-
-
[24]
Neural network based tire/road friction force estimation🔗
Engineering applications of artificial intelligence, 2008
-
[25]
Recent Advances in Control-Oriented Modeling of Automotive Power Train Dynamics🔗
IEEE/ASME transactions on mechatronics, 2006
-
[26]
Road feedback estimation for steer-by-wire control🔗
2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006
-
-
[28]
Integrated longitudinal and lateral tire/road friction modeling and monitoring for vehicle motion control🔗
IEEE transactions on intelligent transportation systems (Print), 2006
-
[29]
Recent Advances in Control-Oriented Modeling of Automotive Power Train Dynamics🔗
Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005., 2005
-
-
-
-
-
[34]
A LuGre tire friction model with exact aggregate dynamics🔗
Proceedings of the 2004 American Control Conference, 2004
-
-
[36]
Application of the RBF neural networks for tire-road friction force estimation🔗
2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692), 2003
-
-
-
[39]
Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers🔗
Mechanical systems and signal processing, 2022
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Proceedings of 3rd IFAC Workshop Advances in Automotive Control, pp. 101-106, Karlsruhe, Germany
2001
Cited by 54
▾
-
[1] Piezo-actuated smart mechatronic systems: Nonlinear modeling, identification, and control🔗Mechanical systems and signal processing, 2024
-
[2] Finite element modelling of linear rolling contact problems🔗ESAIM: Mathematical Modelling and Numerical Analysis, 2024
-
[3] An Improved Control-Oriented Tire Model and Its Applications on Intelligent Vehicles🔗IEEE Transactions on Intelligent Vehicles, 2024
-
[6] Data-Driven Adaptive Torque Allocation for Electric Vehicles🔗International Conference on Control, Decision and Information Technologies, 2023
-
[7] Optimal control for anti-lock braking system: Output feedback adaptive controller design and processor in the loop validation test🔗Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2022
-
[8] An extended LuGre-brush tyre model for large camber angles and turning speeds🔗Vehicle System Dynamics, 2022
-
[9] Adaptive Backstepping Control of Antilock Braking System Based on LuGre Model🔗Annual Conference of the IEEE Industrial Electronics Society, 2021
-
[10] Generalized Inverse Multiplicative Structure for Differential-Equation-Based Hysteresis Models🔗IEEE transactions on industrial electronics (1982. Print), 2021
-
[11] Performance Analysis of SVM, ANN and KNN Methods for Acoustic Road-Type Classification🔗International Symposium on INnovations in Intelligent SysTems and Applications, 2019
-
[12] Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-Type Estimation🔗IEEE Transactions on Intelligent Vehicles, 2019
-
[14] Road-types classification using audio signal processing and SVM method🔗Signal Processing and Communications Applications Conference, 2017
-
[15] Towards a fully coordinated vehicle control strategy🔗International Conference on Advances in Computational Tools for Engineering Applications, 2016
-
[17] Intelligent traction control in electric vehicles using an acoustic approach for online estimation of road-tire friction🔗2013 IEEE Intelligent Vehicles Symposium (IV), 2013
-
[21] Notice of RetractionPrediction of automobile tire driving force characteristics🔗International Conference on Computer, Mechatronics, Control and Electronic Engineering, 2010
-
[24] Neural network based tire/road friction force estimation🔗Engineering applications of artificial intelligence, 2008
-
[25] Recent Advances in Control-Oriented Modeling of Automotive Power Train Dynamics🔗IEEE/ASME transactions on mechatronics, 2006
-
[26] Road feedback estimation for steer-by-wire control🔗2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006
-
[28] Integrated longitudinal and lateral tire/road friction modeling and monitoring for vehicle motion control🔗IEEE transactions on intelligent transportation systems (Print), 2006
-
[29] Recent Advances in Control-Oriented Modeling of Automotive Power Train Dynamics🔗Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005., 2005
-
[34] A LuGre tire friction model with exact aggregate dynamics🔗Proceedings of the 2004 American Control Conference, 2004
-
[36] Application of the RBF neural networks for tire-road friction force estimation🔗2003 IEEE International Symposium on Industrial Electronics ( Cat. No.03TH8692), 2003
-
[39] Characterization of the loss of grip condition in the Strain-Based Intelligent Tire at severe maneuvers🔗Mechanical systems and signal processing, 2022