Research on optimal control of active suspension for intelligent vehicles based on simulink

With the rapid development of intelligent vehicles, active suspension system, as a key technology to improve car comfort and safety, has received widespread attention. To improve the smoothness and safty of vehicle driving, passive suspension and active suspension 1/4 vehicle two degree of freedom models are established based on the theory of vehicle system dynamics. Using the realistic road data as an excitation, and the quadratic optimal control algorithm is applied to active model control. A comparative analysis was conducted on the key indicators of vehicle between active suspension and passive suspension using the Simulink simulation platform. Simulation data confirms that the control strategy can effectively improve the overall performance of the suspension.