基于AHP-NSGA-Ⅲ的车辆悬架预瞄最优控制研究

针对车辆主动悬架线性二次最优控制存在的权值系数确定问题,提出了一种结合主客观性能评价的权值系数选择方法---层次分析-三代遗传算法。利用层次分析法确定变量范围,以6个主动控制悬架性能指标为目标函数,利用三代遗传算法进行多目标优化并以控制力作为限制条件筛选出最优解。以半车模型为例,结合前轮预瞄信息与卡尔曼估计器估计的状态变量,设计预瞄最优控制器,并采用虚拟激励法直接在频域范围内进行求解。仿真结果表明,所提出的控制策略可改善车辆的乘坐舒适性。

Research on Preview Optimal Control of Suspension Based on AHP-NSGA-Ⅲ

Aiming at the problem existing in determining the weight matrix of linear quadratic optimal control,a coefficient selection method combined with subjective and objective evaluation based on analytic hierarchy process-three generation genetic algorithm(AHP-NSGA-Ⅲ)is proposed.The analytic hierarchy process is used to determine the range of the variable.The performance indexes of the active suspensions are used as the objective functions.The NSGA-Ⅲis used for multi-objective optimization and the optimal solution is selected according to the condition of the control force limit.Taking the half-car model as an example,the front wheel preview information and the state variables estimated by the Kalman filter estimator are used to design the controller,and it is solved in the frequency domain by the pseudo excitation method.The simulation results show that the proposed control strategy can be used to improve ride comfort of the vehicle.