In order to improve the ride comfort of vehicles under braking condition,a 1/2 vehicle active suspension braking model was established.Due to the difficulty of determining the weighting coefficients in traditional LQG controllers,an improved particle swarm algorithm was used to optimize the controller weighting coefficients for different road grades with various performance indicators of the vehicles as constraints.On this basis,the optimal control and wheelbase preview control were combined,and a variable weight LQG controller with preview information was designed for braking condition based on the linear system quadratic optimal control theory.Simulation results show that compared to constant-weight LQG control,variable-weight LQG control can better adapt to the changes in road grades and effectively improve suspension performance.In addition,compared to passive suspension,the root-mean-square vertical acceleration and pitch acceleration of the vehicle body can be optimized by 51.2%and 43.9%,and 42.7%and 18.0%,respectively for variable-weight LQG control with preview information and variable-weight LQG control without preview information.It can be seen that the variable weight LQG control of active suspension with preview information can make the vehicles get better comfort and the overall vibration amplitude is obviously reduced.
关键词
振动与波/主动悬架/LQG控制/轴距预瞄控制/改进粒子群算法/权重系数
Key words
vibration and wave/active suspension/LQG control/wheelbase preview control/improved PSO algorithm/weight coefficients
维普
万方数据