ELM-Based Non-Singular Fast Terminal Sliding Mode Control Strategy for Vehicle Platoon

Vehicle platoon is one of the innovations in automated highway systems, which has potential to reduce fuel consumption, alleviate traffic congestion and lighten driver’s burden. How control vehicle effectively ensure stability queue a challenge. Aiming overcome shortcomings method based on traditional sliding mode control, non-singular terminal optimized by extreme learning machine proposed this paper. Firstly, longitudinal dynamics are derived from analysis forces acting direction. A constant time headway policy taken as spacing policy. The modified outstanding performance, simulation results demonstrate that following vehicles can rapidly track trajectory leading with less error guarantee string stability. In study, several experiments set up consider disturbance other uncertain practical factors. performance superior method. Experimental show significantly chattering good robustness under circumstances disturbance.