| Linear Quadratic Integral Control for the Active Suspension of Vehicle |
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| 作者姓名： | 管继富 顾亮 侯朝桢 武云鹏 |
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| 作者单位： | [1]School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China ; [2]School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China ） |
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| 基金项目： | Sponsored by the Ministerial Level Advanced Research Foundation（20010453）. |
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| 摘 要： | The quarter model of an active suspension is established in the form of controllable autoregressive moving average （CARMA） model. An accelerometer can be mounted on the wheel hub for measuring road disturbance; this signal is used to identify the CARMA model parameters by recursive forgetting factors least square method. The linear quadratic integral （LQI） control method for the active suspension is presented. The LQI control algorithm is fit for vehicle suspension control, for the control performance index can comprise multi controlled variables. The simulation results show that the vertical acceleration and suspension travel both are decreased with the LQI control in the low frequency band, and the suspension travel is increased with the LQI control in the middle or high frequency band. The suspension travel is very small in the middle or high frequency band, the suspension bottoming stop will not happen, so the vehicle ride quality can be improved apparently by the LQI control.
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| 关 键 词： | 线性二次积分控制 交通工具 回归遗失最小平方 自适应控制 振动能量 |
| 文章编号： | 1004-0579（2005）03-0229-05 |
| 收稿时间： | 2004-01-07 |
Linear Quadratic Integral Control for the Active Suspension of Vehicle |
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| GUAN Ji-fu,GU Liang,HOU Chao-zhen and WU Yun-peng.Linear Quadratic Integral Control for the Active Suspension of Vehicle[J].Journal of Beijing Institute of Technology,2005,14(3):229-233. |
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| Authors: | GUAN Ji-fu GU Liang HOU Chao-zhen and WU Yun-peng |
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| Affiliation: | 1. School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
2. School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | The quarter model of an active suspension is established in the form of controllable autoregressive moving average (CARMA) model. An accelerometer can be mounted on the wheel hub for measuring road disturbance; this signal is used to identify the CARMA model parameters by recursive forgetting factors least square method. The linear quadratic integral (LQI) control method for the active suspension is presented. The LQI control algorithm is fit for vehicle suspension control, for the control performance index can comprise multi controlled variables. The simulation results show that the vertical acceleration and suspension travel both are decreased with the LQI control in the low frequency band, and the suspension travel is increased with the LQI control in the middle or high frequency band. The suspension travel is very small in the middle or high frequency band, the suspension bottoming stop will not happen, so the vehicle ride quality can be improved apparently by the LQI control. |
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| Keywords: | active suspension recursive forgetting factors least square linear quadratic integral control adaptive control |
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