Research on Improving Vehicle Stability Control Using Enhanced LQR Method

This article introduces the importance of lateral motion control in autonomous driving technology and the control methods used, with a focus on the Linear Quadratic Regulator (LQR) method and its improvement approaches. The article also discusses the design, experimentation, and results analysis of vehicle stabilizing controllers, citing relevant research. Through this article, readers can gain an understanding of the key issues in lateral motion control in autonomous driving technology, existing control methods and improvement approaches, as well as simulation experiment results and research achievements. The article proposes simulation experiments based on Simulink-Carsim software to validate the corrective effect of the improved LQR algorithm on vehicle stability parameters. It indicates that the improved LQR stabilizing controller has high accuracy, low maximum absolute error, and robustness, providing greater assurance for driving safety.