In view of the proportional integration-derivative (PID) controller parameter selection problem of automotive active suspension, the traditional PID control parameter setting has certain blindness.The particle swarm optimization algorithm is designed. The objective function is established according to the suspension performance index. The parameters of PID controller are optimized by using particle swarm optimization algorithm.The results show that compared with the active suspension with PID control before optimization, the performance index of the vehicle active suspension with PSO optimization PID control has been significantly improved.Finally, it is concluded that PID control optimized by Particle swarm algorithm (PSO) improves vehicle ride comfort and handling stability, and solves the problem of PID controller parameter setting.