Disturbance-Observer Adaptive Fuzzy Performance Constraint Control for Vehicular Platoon System

This article concentrates on the disturbance observer-based fuzzy adaptive prescribed constraint control issue for nonlinear third-order vehicular platoon systems. Fuzzy logic system (FLS) is driven to identify unknown nonlinearity. By designing a novel time-varying performance function without using the initial conditions, the proposed quadratic spacing error policy can guarantee the spacing error remains within a residual set with the predefined convergence rate. By constructing a disturbance observer, the restrictive assumptions about the unknown boundaries of the external disturbance and identify error. Then, combining time-varying performance function and constructed disturbance observer, a new robust fuzzy adaptive performance constraint control approach is presented, which demonstrates the individual stability, and the boundedness of all signals of vehicular platoon systems are able to be ensured. Moreover, the string stability of the vehicular platoon systems can also be guaranteed via sliding mode technique. Eventually, simulation results are displayed to explain the validity of the developed prescribed performance platoon control approach.