基于博弈论的8自由度整车悬架参数优化设计

建立了包含座椅垂直振动、车身垂直、仰俯、侧倾振动以及4个车轮垂直振动的整车8自由度悬架物理模型,并应用达朗伯尔原理建立其动力学方程,使用Matlab／Simulink软件对A,B,C不同等级路面激励进行时域模拟仿真。通过模态叠加法对方程进行求解,得到了整车的模态特性和3种路面激励输入下各个自由度位移、速度、加速度等振动响应量。在悬架参数的设定范围内,分析了座椅、悬架、车轮等的刚度、阻尼参数变化对车辆行驶性能的影响;根据博弈论,对多目标优化模型进行博弈分析．利用Stackelberg寡头博弈对多目标优化模型进行求解,计算结果表明,车辆的乘坐舒适度和对路面的损坏等性能指标均有所改善。

MULTIOBJECTIVE OPTIMIZATION OF EIGHT-DOF VEHICLE SUSPENSION BASED ON GAME THEORY

A systematic and effective optimization is proposed for the design of a three-dimensional (3-D) vehicle suspension model with eight degrees of freedom (DOF), including vertical seat motion, vehicle suspension, pitching and rolling motions, and vertical wheel motions using the evolutionary game theory. A new design of the passive suspension is aided by game theory to attain the best compromise between ride quality and suspension deflections. Extensive simulations are performed on three type road surface models A, B, C pavement grades based on the guidelines provided by ISO-2631 with the Matlab/Simulink environment. The preliminary results show that, when the passive suspension is optimized via the proposed approach, a substantial improvement in the vertical ride quality is obtained while keeping the suspension deflections within their allowable clearance when the vehicle moves at a constant velocity v = 20 m/s, and the comfort performance of a suspension seat can be enhanced by 20%-30%.