基于序关系分析法的车辆主动悬架控制器仿真研究

Simulation research on vehicle active suspension controller based on the order relation analysis method

基于序关系分析法(G1法)进行了车辆主动悬架线性二次型高斯(Linear Quadratic Gaussian,LQG)最优控制器设计.首先对单轮车辆的主被动悬架进行数学建模,确定了系统输入信号模型;其次运用动力学知识建立了系统运动状态空间方程,并结合最优控制理论完成了最优线性控制器设计;结合序关系分析法确定了主被动悬架各性能指标系数的加权系数;最后在Simulink中对模型进行了对比仿真.仿真结果表明,在给定路况下,运用序关系分析法确定合适的权重值,优化了车身加速度、悬架动行程和轮胎动位移,较好地改善了车辆的综合性能,并且将主动控制力控制在了要求范围内.

Based on the order relation analysis method（G1 method）,the optimal linear quadratic Gaussian（LQG）of vehicle active suspension is designed.The system of the main and passive suspension of the single wheel vehicle is modeled and the system input signal model is determined.Secondly,the system motion state space equation is established by the kinetic knowledge and the optimal linear controller design is completed with the optimal control theory.The weighting coefficient of the performance index coefficients of the main passive suspension is determined by the relational analysis method.Finally,the model is simulated in Simulink.The simulation results show that：the optimal weight value is determined by using the sequence relation analysis method under the condition of given road conditions,and the vehicle acceleration,suspension stroke and tire motion displacement are optimized to improve the comprehensive performance of the vehicle,and the active control is controlled within the requirements.