Kalman Filter-based Vibration State Estimation and Optimal Control of a Special Vehicle

Take a certain type of special vehicle as the research object, establish the four-degree-of-freedom suspension vibration time-domain simulation model of the semi-vehicle, and use the Kalman filter algorithm for the vibration state of the vehicle in the driving process. By designing the Kalman observer of the linear suspension system, the state estimation of the vertical displacement and vertical acceleration of the front and rear suspensions and the body of the vehicle travelling on the uneven road surface is carried out, and the simulation analysis of the estimation effect is carried out, and the simulation results show that: the algorithm is able to estimate the relevant parameters of the vehicle vibration more accurately under the random road surface of E-level. Based on the state estimation value, a linear-quadratic optimal control method is adopted for the active control of suspension, which provides a basis for the design and optimal control of active suspension for subsequent special vehicles.