采用人群搜索算法的汽车半主动悬架LQG控制

针对某款乘用车的悬架系统,建立1/4车辆2自由度半主动悬架动力学模型,并对模型的输出指标进行加权处理,得到性能指标函数.鉴于性能指标函数中各权重不易确定的特点,运用人群搜索算法对函数各权重进行寻优,并采用线性二次高斯(LQG)最优控制算法对悬架的阻尼力进行控制.最后,在MATLAB/Simulink中搭建仿真模型,对悬架的性能进行仿真分析.结果表明:采用基于人群搜索算法的LQG控制能够较好地减小车身加速度(BA)、悬架动挠度(SWS)及轮胎动变形(DTD),有效地改善车辆的平顺性和乘坐舒适性.

LQG Control of Vehicle Semi-Active Suspension Using Seeker Optimization Algorithm

Aiming at the suspension system of a passenger car, the dynamics model with 2 degrees of freedom of a 1/4 vehicle semi-active suspension is established. Output indexes of the semi-active suspension dynamics model are weighted to obtain the performance index function. Seeing that it is difficult to determine each weight in the performance index function, the seeker optimization algorithm is utilized to search and optimize the weights, and the linear quadratic Gauss(LQG)optimal control algorithm is applied to control the damping force of suspension. The simulation model is established to conduct simulation analysis of suspension performance in MATLAB/Simulink. Simulation results demonstrate that the linear quadratic optimal control can reduce body acceleration(BA), suspension working space(SWS)and dynamic tyre displacement(DTD)better, which can effectively improve the vehicle ride comfort.