Optimization of the exponential stabilization problem in active suspension system using PSO

This paper proposes an active suspension mechanism for three-degree-of-freedom (3-DOF) twin-shaft vehicles of front axle suspension with bounded uncertainties using exponential decay control and particle swarm optimization (PSO) techniques. A new exponential stabilization criterion of the system via the dynamic state feedback control is derived and the optimization problem of exponential stabilization is discussed. The optimization problem is solved by using PSO method to guarantee all the states of vehicles in an optimal exponential decay in nearly real-time. Simulation results in both frequency and time domains show that the vibration characteristics of vehicles for the proposed active suspension system achieve significant improvements over the passive and linear quadratic (LQ) active suspension systems.

► A exponential stabilization criterion of a uncertain system is derived and applied to active suspensions of vehicles. The optimization problem is solved by PSO to guarantee the states of vehicles in an exponential decay. Results show that vibration of vehicles for the proposed active suspension systems achieve significant improvements.