Research on intelligent suspension control strategy integrating driver intent and simulation

Zhentian Tang; Chongxin Zhao; Fengran Chen

doi:10.1117/12.3039846

28 August 2024 Research on intelligent suspension control strategy integrating driver intent and simulation

Zhentian Tang, Chongxin Zhao, Fengran Chen

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132514G (2024) https://doi.org/10.1117/12.3039846
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

This paper focuses on the study of semi-active suspension control strategies for intelligent vehicles, aiming to balance the smoothness and handling performance of the vehicle and enhance suspension performance. A hybrid control strategy that integrates the driver’s control intent is proposed. By establishing a dynamic model and using dynamic simulation software along with MATLAB/Simulink to build a combined vehicle simulation model and control model, the simulation results indicate that under different speeds and during lane-changing maneuvers, the semi-active suspension's roll angle suppression is improved by approximately 8% compared to the original passive suspension. Additionally, the vertical vibration on a flat road surface is reduced by about 8%. The proposed control strategy effectively balances the vehicle's driving smoothness and handling performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhentian Tang, Chongxin Zhao, and Fengran Chen "Research on intelligent suspension control strategy integrating driver intent and simulation", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132514G (28 August 2024); https://doi.org/10.1117/12.3039846

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