Integrated Vehicle Dynamics System through Coordinating Active Aerodynamics Control, Active Rear Steering, Torque Vectoring and Hydraulically Interconnected Suspension
- 22 Downloads
This paper investigates integrated vehicle dynamics control through coordinating active aerodynamics control, active rear steering, torque vectoring and hydraulically interconnected suspension for improving the overall vehicle performance including handling, stability, and comfort. After developing each chassis control system, it is tested by various manoeuvres in order to assess each subsystem. Then, a rule-based coordinate system is proposed for integrated control of the four chassis control systems. Simulation investigation is performed to display the effectiveness of the proposed integrated vehicle dynamics system. Results demonstrate that the proposed control scheme is able to enhance the multiple performance indices of the vehicle including both the ride comfort, and the lateral stability, compared to the non-integrated control system.
Key wordsActive aerodynamics control Active rear steering Torque vectoring system Hydraulically interconnected suspension Integrated vehicle dynamics system Vehicle dynamics Active safety
Unable to display preview. Download preview PDF.
- Abbott, I. H. and Von Doenhoff, A. E. (1959). Theory of Wing Sections: Including a Summary of Airfoil Data. Dover Publications. Mineola, New York, USA.Google Scholar
- Ahangarnejad, A. H. (2018). Integrated Control of Active Vehicle Chassis Control Systems. Ph. D. Dissertation. Politecnico di Milano. Milan, Italy.Google Scholar
- Cairano, S. D. and Tseng, H. E. (2010). Driver-assist steering by active front steering and differential braking: Design, implementation and experimental evaluation of a switched model predictive control approach. Proc. 49th IEEE Conf. Decision and Control (CDC), Atlanta, Georgia, USA.Google Scholar
- Chen, Y., Ahmadian, M. and Peterson, A. (2015). Pneumatically balanced heavy truck air suspensions for improved roll stability. SAE Paper No. 2015-01-2749.Google Scholar
- Falcone, P., Tufo, M., Borrelli, F., Asgari, J. and Tseng, H. E. (2007). A linear time varying model predictive control approach to the integrated vehicle dynamics control problem in autonomous systems. Proc. 46th IEEE Conf. Decision and Control, New Orleans, Louisiana, USA.Google Scholar
- Fredriksson, J., Andreasson, J. and Laine, L. (2004). Wheel force distribution for improved handling in a hybrid electric vehicle using nonlinear control. Proc. 43rd IEEE Conf. Decision and Control (CDC), Nassau, Bahamas.Google Scholar
- Guvenc, B. A., Acarman, T. and Guvenc, L. (2003). Coordination of steering and individual wheel braking actuated vehicle yaw stability control. Proc. IEEE Intelligent Vehicles Symp., Columbus, Ohio, USA.Google Scholar
- Jalali, K., Uchida, T., Lambert, S. and McPhee, J. (2013). Development of an advanced torque vectoring control system for an electric vehicle with in-wheel motors using soft computing techniques. SAE Paper No. 2013-01-0698.Google Scholar
- Mousavi, A., Davaie-Markazi, A. H. and Masoudi, S. (2017). Comparison of adaptive fuzzy sliding-mode pulse width modulation control with common model-based nonlinear controllers for slip control in antilock braking systems. J. Dynamic Systems, Measurement, and Control 140, 1, 11014–1–11014–15.CrossRefGoogle Scholar
- Pacejka, H. B. (2012). Tyre and Vehicle Dynamics. Butterworth-Heinemann. Oxford, UK.Google Scholar
- Plumlee, J. H., Bevly, D. M. and Hodel, A. S. (2004). Control of a ground vehicle using quadratic programming based control allocation techniques. Proc. IEEE American Control Conf., Boston, Massachusetts, USA.Google Scholar