工程机械驾驶员座椅主动悬架最优控制

建立了车辆座椅两自由度悬架系统的力学和数学模型,应用线性随机最优控制理论(LQG),根据路面随机振动输入的统计特性,在状态变量不全知的情况下,通过Kalman-Bucy滤波器对其进行无偏最优估计,设计出控制系统的最优反馈规律·应用MATLAB仿真语言对该模型进行编程设计和计算机仿真实验·

Research on the Drivers Seat Suspension System Optimal Control of Earth Moving Machinery

Research on suspension optimization of a 2 DOF vehicle seat model using a stochastic optimal control technique. A 2 DOF math and dynamics model of vehicle seat suspension system is built. Using linear stochastic optimal control theory,according to the stochastic input statistics characteristic of the road,in the condition of not all of the variables are known,using Kalman Bucy filter to evaluate unknown variables,a optimal control regular is found out. The suspension system of the earth moving machinery was optimized with respect to ride comfort and working space of the seat suspension. Improvement of seat dynamics is regarded as the easiest solution to solve the ride comfort problem of the earth moving machinery. The simulation study demonstrated that the vehicle seat active control system is more effective than passive system in improving the ride comfort.