Due to their large volume structure, when a heavy vehicle encounters sudden road
conditions, emergency turns, or lane changes, it is very easy for vehicle
rollover accidents to occur; however, well-designed suspension systems can
greatly reduce vehicle rollover occurrence. In this article, a novel semi-active
suspension adaptive control based on AdaBoost algorithm is proposed to
effectively improve the vehicle rollover stability under dangerous working
conditions. This research first established a vehicle rollover warning model
based on the AdaBoost algorithm. Meanwhile, the approximate skyhook damping
suspension model is established as the reference model of the semi-active
suspension. Furthermore, the model reference adaptive control (MRAC) system is
established based on Lyapunov stability theory, and the adaptive controller is
designed. Finally, on the same road condition, the rollover warning control
simulations are carried out under the following conditions: the 180-degree step,
the fishhook, and the double-lane-change condition. Simulation results show that
the proposed reference adaptive control based on the AdaBoost algorithm for
rollover control can effectively predict vehicle rollover in early warning and
improve the anti-rollover capability of vehicles.
