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.
| Original language | English |
|---|---|
| Pages (from-to) | 229-233 |
| Number of pages | 5 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 14 |
| Issue number | 3 |
| Publication status | Published - Sept 2005 |
Keywords
- Active suspension
- Adaptive control
- Linear quadratic integral control
- Recursive forgetting factors least square