Towards Active Safety Driving: Controller Design of an Active Rear Steering System for Intelligent Vehicles

To advance the active safety performance for vehicles, especially in extreme conditions, an rear steering (ARS) control system is designed this paper. A driver model established to simulate driving behaviour of a human who charge front control. In ARS system, sliding mode predictive (SMPC) approach applied controller design based on 3 degrees freedom (DoF) nonlinear vehicle model. design, four kinds performances are considered, namely, path-tracking performance, handling lateral stability, and rollover prevention. Furthermore, priority defined. According priority, event-triggered mechanism (ETM) adjust SMPC address different conditions. Finally, two simulation cases conducted evaluate proposed system. The results show that favour advancement drivers. Additionally, comparative indicates algorithm superior fast terminal (FTSMC) algorithm.