Research on Longitudinal Control Algorithm of Adaptive Cruise Control System for Pure Electric Vehicles

The vehicle longitudinal control algorithm is the core function of adaptive cruise system, whose main task to convert acceleration and deceleration requirements into driving braking commands so that can quickly accurately track desired acceleration. Traditional algorithms rely on accurate dynamic modeling or complex controller parameter calibrations. To overcome those difficulties, a based RBF-PID proposed in this paper. uses RBFNN (radial basis neural network), which simply approximate any nonlinear identify Jacobian information perform tuning for PID achieve with self-tuning capability. Finally, paper verified by joint simulation Matlab/Simulink Carsim. results show has better response rate anti-jamming capability than traditional rapid tracking