Feed-forward Compensation Optimization Control for a Pseudo-active Suspension

Pseudo-active suspension is a new type of suspension system, in which the pseudo-active actuator realizes four-quadrant mechanical control by introducing a mechanical compensation mechanism. The pseudo-active suspension system performance is close to that of the active suspension system, which can still ensure low power consumption and strong reliability. However, due to the absence of true active force output, the pseudo-active suspension exhibits defects such as low controllable accuracy, small controllable range, and poor robustness in the low-speed excitation region. To improve the performance of the pseudo-active suspension, a feed-forward compensation mechanism considering the performance limitations of the actuator is introduced. The mechanism adjusts the control signal in real time by predicting the state of the next moment and compensating in advance for the deviation of the control force caused by the non-ideal characteristics of the actuator. Then, the mechanism is applied to the H∞ control algorithm to make up for the performance limitations of the pseudo-active actuator. Finally, the performance of the pseudo-active suspension is optimized by simulation. The results show that the H∞ control pseudo-active suspension after feed-forward compensation has better control performance than the passive and semi-active suspensions.