Based on Improved Particle Swarm Optimization Optimal Path of Intelligent Vehicle Research on Planning Method
The control effect of automobile suspension directly affects the stability and comfort of automobile.Aiming at the prob-lems of chattering and control accuracy of first-order sliding mode control in active suspension control,an automobile active sus-pension control method based on super spiral second-order sliding mode control is proposed based on automobile 2-DOF 1/4 ac-tive suspension model.A negative acceleration feedback loop is connected in series at the front end of the controller to adjust the suspension performance,and the extended super spiral observer is used to compensate the unknown internal dynamics of the sys-tem in real time.In order to verify the feasibility of the control method,comparative analysis is carried out through simulation.The simulation results show that compared with the first-order synovial control,this method solves the multi-objective control problem of unknown nonlinear dynamics of suspension,and can more effectively improve vehicle stability and comfort.