Adaptive cruise control strategy based on switched LPV

Abstract

In dynamic traffic environments, the uncertainty in the motion state of the preceding vehicle leads to complex parameter variations, posing significant challenges for traditional adaptive cruise control methods. To address these challenges, this paper proposes an adaptive cruise control strategy based on a switched linear parameter-varying (LPV) framework. Focusing on the longitudinal dynamics of following vehicles in a single lane, a switched LPV model is developed to dynamically adjust the inter-vehicle time gap based on the relative speed. Leveraging linear matrix inequality (LMI) techniques, a switching controller with H_∞ performance is designed to ensure system stability and robustness. Furthermore, parameter-dependent hysteresis switching logic is introduced to reduce the switching frequency and mitigate system chattering. Simulation experiments are conducted to validate the effectiveness and performance of the proposed method.