The ride comfort and road holding of vehicle can be obviously improved by using the semi-active suspension. With the constraint of suspension travel and damping coefficient variance, a control algorithm is used to dynamically optimize the vibration acceleration and wheel dynamic load according to the variance of road irregularity and vehicle velocity. The optimal control law is adaptive to the model error caused by the vehicle load variance, variance of suspension component, etc. The generalized predictive control (GPC) is used for vehicle semi-active suspension, which utilized model prediction, rolling optimization, and feedback compensation to optimize the objective function. Simulation results show that the resulting system can provide better control performance.
Key words
automotive engineering /
semi-active suspension /
generalized predictive control /
rolling optimization /
multi objective control
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Footnotes
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