Optimal vehicle semi-active suspension control algorithm based on road surface identification

FANG Ning, LUO Jiannan

Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (15) : 182-191.

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PDF(2693 KB)
Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (15) : 182-191.
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Optimal vehicle semi-active suspension control algorithm based on road surface identification

  • FANG Ning, LUO Jiannan*
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Abstract

Considering the nonlinear factors involved in vehicle dynamics on different road surfaces, including tire lift-off, suspension hitting bump stops, and the time-delay characteristics of suspension damper system, a nonlinear vehicle-suspension system dynamic model is established based on the measured data of different valve-controlled semi-active suspensions. By using a designed augmented Kalman filter and analyzing the accuracy of selected sensors, an identification algorithm for road surface irregularities is designed to effectively evaluate prevailing road with different roughness road and speed conditions. Three different control strategies for an electronically controlled semi-active suspension system are designed. The optimal control currents for each strategy are optimized by using a designed multi-objective particle swarm algorithm. And the control effects under various road excitation levels are analyzed based on simulation results. The results indicate that all three control schemes can improve vehicle performance compared to passive suspensions, in which the dual-valve electronically controlled semi-active suspension exhibits the best performance and better adaptability to the time delay of damper systems. The research can provide significant insights for the design of practical control algorithms for vehicle semi-active suspensions.

Key words

augmented Kalman filter / road surface identification / multi-objective particle swarm optimization algorithm / optimal control of semi-active algorithm

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FANG Ning, LUO Jiannan. Optimal vehicle semi-active suspension control algorithm based on road surface identification[J]. Journal of Vibration and Shock, 2025, 44(15): 182-191

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