为实现对磁流变半主动悬架控制算法快速有效的验证,基于快速原型控制器,设计搭建了控制算法验证平台。1/4车辆悬架系统模型考虑了主销倾角及下摆臂空间角度;悬架安装了加速度及车身高度传感器;使用LMS Test Lab试验测试系统采集分析悬...为实现对磁流变半主动悬架控制算法快速有效的验证,基于快速原型控制器,设计搭建了控制算法验证平台。1/4车辆悬架系统模型考虑了主销倾角及下摆臂空间角度;悬架安装了加速度及车身高度传感器;使用LMS Test Lab试验测试系统采集分析悬架系统振动状态;快速原型控制器作为开发调试控制算法的载体;通过平台验证试验,介绍了基于此平台开发调试算法的过程,验证了此平台控制过程监控、调试控制算法、量化分析控制效果的功能,表明此平台满足设计目标,可以方便、快捷及有效地开发、调试及验证半主动控制算法。展开更多
The 7-DOF model of a full vehicle with an active suspension is developed in this paper.The model is written into the state equation style.Actuator forces are treated as inputs in the state equations.Based on the basic...The 7-DOF model of a full vehicle with an active suspension is developed in this paper.The model is written into the state equation style.Actuator forces are treated as inputs in the state equations.Based on the basic optimal control theory,the optimal gains for the control system are figured out.So an optimal controller is developed and implemented using Matlab/Simulink,where the Riccati equation with coupling terms is deduced using the Hamilton equation.The all state feedback is chosen for the controller.The gains for all vehicle variables are traded off so that majority of indexes were up to optimal.The active suspension with optimal control is simulated in frequency domain and time domain separately,and compared with a passive suspension.Throughout all the simulation results,the optimal controller developed in this paper works well in the majority of instances.In all,the comfort and ride performance of the vehicle are improved under the active suspension with optimal control.展开更多
文摘为实现对磁流变半主动悬架控制算法快速有效的验证,基于快速原型控制器,设计搭建了控制算法验证平台。1/4车辆悬架系统模型考虑了主销倾角及下摆臂空间角度;悬架安装了加速度及车身高度传感器;使用LMS Test Lab试验测试系统采集分析悬架系统振动状态;快速原型控制器作为开发调试控制算法的载体;通过平台验证试验,介绍了基于此平台开发调试算法的过程,验证了此平台控制过程监控、调试控制算法、量化分析控制效果的功能,表明此平台满足设计目标,可以方便、快捷及有效地开发、调试及验证半主动控制算法。
文摘The 7-DOF model of a full vehicle with an active suspension is developed in this paper.The model is written into the state equation style.Actuator forces are treated as inputs in the state equations.Based on the basic optimal control theory,the optimal gains for the control system are figured out.So an optimal controller is developed and implemented using Matlab/Simulink,where the Riccati equation with coupling terms is deduced using the Hamilton equation.The all state feedback is chosen for the controller.The gains for all vehicle variables are traded off so that majority of indexes were up to optimal.The active suspension with optimal control is simulated in frequency domain and time domain separately,and compared with a passive suspension.Throughout all the simulation results,the optimal controller developed in this paper works well in the majority of instances.In all,the comfort and ride performance of the vehicle are improved under the active suspension with optimal control.
