中文摘要：

针对半主动悬架控制系统所涉及的关健技术，本文采用多体动力学软件ADAMS，建立车辆多体动力学模型，构建最优控制器，根据最优控制器中目标函数的加权系数对悬架控制力的影响，用粒子群算法计算出不同等级路面最优控制器所需的最优加权系数，并通过ADAMS／MATLAB联合仿真，让车辆依次通过A～C级路面，观察汽车平顺性和操纵稳定性性能指标的变化，试验结果表明，粒子群最优控制在不同路面输入激励下均能取得较好的控制效果，其控制结果明显优于传统最优控制策略，能有效地提高半主动悬架系统的减振性能，并兼顾车辆的平顺性和操纵稳定性。

英文摘要：

In this paper, we established a multi-body dynamic vehicle model in ADAMS, and constructed the optimal controller. According to the influence of suspension control by the weighted coefficient of objective function in the optimal controller, we used particle swarm optimization （PSO） to calculate the optimal weighting coefficient of the optimal controller on different grade road. In order to improve the effectiveness and accuracy of the calculation, we let the vehicle model loop through the A-C grade road by using ADAMS/MATLAB co-simulation, and then observe the change of performance index of ride comfort and handing stability. The test results show that, compared with the traditional optimal control strategy, particle swarm optimal control can obtain better control effect under different grade road input, effectively improve the vibration damping of semi-active suspension system, and make a balance between the vehicle ride comfort and handing stability.