Comparative Study on Control Strategy of Active Suspension System

The parameters of suspension system cannot change according to the road excitation, and the system can only store or exhaust the body vibration energy. The active suspension system can improve both the riding comfort and handing safety in various operation conditions. The least means squares adaptive algorithm is used in active suspension system. For the least means squares adaptive algorithm, the minimum quadratic performance index is obtained according to adjusting the weight of the adaptive filter. For vehicle suspension model, the sky-hook control, generalized adaptive control and least means squares adaptive control are studied. For least means squares adaptive control suspension, compared with passive suspension, acceleration decreases largely as 8-10 times in study frequency domain. The simulation calculation results that the least means squares adaptive control strategy may largely improve the performances of the suspension system.