Direct tire force generation algorithm based on non-iterative nonlinear inverse tire model
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The function of vehicle dynamics control system is adjusting the yaw moment, the longitudinal force and lateral force of a vehicle body through several chassis systems, such as brakes, steering and suspension. Individual systems such as ESC, AFS and 4WD can be used to achieve desired performance by controlling actuator variables. However, integrated chassis control systems that have multiple objectives may not simply achieve the desired performance by controlling the actuators directly. Usually those systems determine the required tire forces in an upper level controller and a lower level controller regulates the tire forces through the actuators. The tire force is controlled in a recursive way based on vehicle state measurement, which may not be sufficient for fast response. For immediate force tracking, we introduce a direct tire force generation method that uses a nonlinear inverse tire model, a pseudo-inverse model of vehicle dynamics and the relationship between longitudinal force and brake pressure.
Key wordsInverse tire model Extended brush model Direct force generation Chassis control
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- Jiang, W., Yu, Z. and Zhang, L. (2006). Integrated chassis control system for improving vehicle stability. IEEE Int. Conf. Vehicular Electronics and Safety, 295–298.Google Scholar
- Joa, E., Yi, K. and Kim, K. (2015). Integrated chassis control of 4WD, ESC, ECS for limit handling. Trans. Korean Society of Mechanical Engineers 2015, 11, 1767–1771.Google Scholar
- Kang, B., Cho, W. and Ahn, C. (2015). Nonlinear tire inverse model for integrated chassis control system. Int. Conf. Control, Automation and Systems, 2026–2030.Google Scholar
- Kim, H., Lee, H. and Jeong, J. (2006). Unified chassis control for the vehicle having AFS, ESP and active suspension. Spring Conf. Proc., Korean Society of Automotive Engineers, 928–933.Google Scholar
- Madaras, J., Ferencey, V., Bugar, M. and Danko, J. (2014). Algorithms for vehicle control stability system with 4 WS. Int. Conf. Mechatronics -Mechatronika, 1–7.Google Scholar
- Pacejka, H. (2005). Tire and Vehicle Dynamics. 2nd edn. SAE International. Warrendale, Pennsylvania, USA.Google Scholar
- Roshanbin, A. and Naraghi, M. (2008). Vehicle integrated control–An adaptive optimal approach to distribution of tire forces. IEEE Int. Conf. Networking, Sensing and Control, 885–890.Google Scholar
- Yoon, K., Lee, J., Lee, K., Hwang, T., Park, K. and Huh, S. (2007). Development of an integrated chassis control system using ESC, AFS and AGCS. Spring Conf. Proc., Korean Society of Automotive Engineers, 913–918.Google Scholar
- Yu, F., Li, D.-F. and Crolla, D. A. (2008). Integrated vehicle dynamics control-state-of-the art review. IEEE Vehicle Power and Propulsion Conf., 1–6.Google Scholar