Active Suspension Control Based on Multi-agent Predictive Algorithm

Aiming at the complex coupling between the various subsystems in the current automobile suspension, an active suspension control method based on the multi-agent prediction algorithm is proposed; Taking the nonlinear two-degree-of-freedom active suspension model as the research object, a suspension multi-agent model is established, with the goal of improving vehicle ride comfort, a distributed predictive control optimization algorithm based on Nash optimization is proposed; Simulation results show, Two different road conditions are selected: docking road and separated road. The active suspension control method based on multi-agent prediction algorithm maintains good suspension control performance and improves the ride comfort of vehicle suspension to a certain extent.