Suspension semi-active control of vehicles based on road profile classification

To realize suspension semi-active adaptive control and the compromise between ride comfort and control stability, an algorithm based on multi-objective optimization and road recognition was proposed. Firstly, we built an equivalent quarter vehicle model with skyhook control, and established analytical descriptions, based on the system dynamics, for vehicle sprung mass acceleration and tire force. Then, a genetic-based multi-objective optimization method was used to calculate the Pareto optimal solutions. Different weights were assigned for different road level to obtain the corresponding control gains. Simulation results show that the as-proposed adaptive control strategy can achieve the balance between ride comfort and control stability for varying road levels.