基于人群搜索算法的汽车主动悬架控制

Control of Vehicle Active Suspension Based on Seeker Optimization Algorithm

为研究主动悬架的控制系统对悬架性能的影响,基于MATLAB/simulink平台搭建十自由度整车悬架模型,以白噪声路面作为系统输入,对不同工况下的车辆主动悬架性能进行仿真分析。在对悬架性能分析的基础上,基于人群搜索算法对主动悬架PID控制器参数进行迭代优化,与优化前的悬架性能对比表明,优化后的主动悬架性能得到大幅提升。

In order to study the influence of the active suspension control system on the suspension performance, the 10-DOF dynamic model of vehicle is built based on Matlab/Simulink software, with the white noise pavement as the system input. Then the simulation analysis is carried out on the vehicle active suspension in different conditions. On the basis of the analysis of the suspension performance, the PID controller parameters for active suspension are optimized iteratively based on the seeker optimization algorithm. In contrast with the non-optimized suspension, the result shows that the performance of the optimized active suspension is apparently improved.