Performance of active suspension control strategy based on road identification

Zhi-jun Deng; Zhi-wei He; Bo Shi

doi:10.1117/12.2684650

19 October 2023 Performance of active suspension control strategy based on road identification

Zhi-jun Deng, Zhi-wei He, Bo Shi

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127094J (2023) https://doi.org/10.1117/12.2684650
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Active suspension system can effectively reduce vibration amplitude caused by the excitation of uneven road surface and improve the smoothness and handling stability of the vehicle. In this study, the road surface roughness is identified by using LIDAR, and combined with the dynamic signal of the driving vehicle collected by sensors, the two signals are input into the active suspension fuzzy sliding mode controller designed to output the optimal damping force. The effectiveness of the fuzzy sliding control strategy is carried out by numerical simulation based on the whole vehicle model. The results show that the proposed control strategy of the active suspension system with road surface roughness identification performs better in five performance evaluation indexes, in which the body pitch angular acceleration is optimized by 53.75%, and the other performance evaluation indexes are optimized by about 12%.

Citation Download Citation

Zhi-jun Deng, Zhi-wei He, and Bo Shi "Performance of active suspension control strategy based on road identification", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127094J (19 October 2023); https://doi.org/10.1117/12.2684650

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