Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety

The braking failure of heavy vehicles under long downhill or curved conditions may cause traffic crash and reduce road efficiency. Therefore, to improve the safety stability special conditions, a dynamic model control system based on interval uncertainty analysis are proposed, active is verified by experiments (HIL). Firstly, uncertain established Monte Carlo method, simulation right front wheel carried out in set three intervals. Secondly, fuzzy PID sliding mode controller yaw centroid error designed find optimal strategy from two kinds strategies for HIL experiments. Finally, actual effect feasibility these algorithms vehicle experimental results show that action strategy, running significantly improved compared with no control, which effectively reduces risk improves vehicle.