Abstract
The road-classification-based sprung-mass adaptive suspension control system (RBSA) is established to improve the ride comfort under the condition that the road grade and sprung mass changed simultaneously. First, a linearized optimal control method for the Macpherson suspension is derived based on mechanical equations, and the reliability of the method is verified by experiments. Second, based on the optimal control theory and multi-objective optimization algorithm, the RBSA control system is established. The controller parameters can be automatically adjusted by the RBSA control system according to the road roughness grade and sprung mass acceleration under different sprung mass and road excitation conditions, and the vibration of the suspension is optimal under different conditions. Finally, the correctness and superiority of the control system are verified by simulation and experiment and by comparing with passive suspension, ordinary active suspension, and preview suspension with fixed sprung mass. The results of simulation and experiment show that the sprung mass acceleration of the RBSA control system is smaller than that of the comparing group, and the ride comfort can be effectively improved.
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