Research on Vehicle Stability Optimal Control with OEKF Estimation of
Sideslip Angle
Abstract
In order to improve the control accuracy of vehicle electronic stability
program, an Optimal Extended Kalman Filter (OEKF) algorithm is designed
based on Extended Kalman Filter (EKF) and optimal control theory. The
7-DOF vehicle model, the linear two-degree-of-freedom vehicle model and
the LQG control model of the body electronic stability program (ESP) are
built by MATLAB/Simulink. Taking the vehicle sideslip angle and yaw rate
as control variables, the OEKF sideslip angle observer is established
and simulated in MATLAB/Simulink environment. By comparing with the
traditional EKF sideslip angle observer, it is concluded that the OEKF
sideslip angle observer can not only estimate the sideslip angle
accurately and in real time, but also effectively reduce the lateral
acceleration of the vehicle during sideslip and improve the handling
stability of the vehicle in driving state. Finally, the effectiveness of
the algorithm is further verified by real vehicle road test. In this
paper, the algorithm is innovated, and the EKF algorithm and the optimal
control theory are combined to study the vehicle sideslip angle
estimation and stability control.