Abstract
This paper establishes a 4 DOFs of while model with semi-active suspension, presents a control strategy for automotive active suspension system based on fuzzy neural networks, which adopts BP learning algorithm, simulates the suspension system and analyses the test result. Compared with conventional passive suspensions, the results show that the active suspension is superior to the passive suspension in improving the ride comfort.