Model predictive control of magneto-rheological damper semi-active suspension with preview

In this paper, the control problem of semi-active suspension is formulated as the disturbance attenuation problem with hard constraints. The vehicle body vertical acceleration, the suspension dynamic displacement and the tire dynamic deflection are selected as the constraint outputs. The hierarchial control method is adopted. The first-layer controller is designed by the road preview model predictive control (MPC) strategy which can optimize the performance of control system while meeting constraints dynamically. The disturbance can be known with the road preview. The second-layer controller can overcome the strong nonlinear characteristics of magneto-rheological damper by a neural network model. Simulation experiments show that the semi-active suspension with the road preview model predictive control strategy can improve ride comfort while meeting the output constraints compared with related passive suspension.