Application of Fuzzy Adaptive Control Algorithm in Intelligent Vehicle

Abstract

The speed control system of intelligent vehicle, a nonlinear time-varying system, is difficult to establish an accurate mathematical model, and to adjust the parameters of conventional PID. A fuzzy adaptive algorithm is proposed by analyzing the intelligent vehicle system in this paper, which is a control strategy that applies to a vehicle by extracting the black line information on both sides of the track and making the direction and speed control decision under the controller. The experimental and simulation results show that the black line extraction algorithm, direction and speed control algorithm proposed in this paper can meet the requirements of intelligent vehicle running stably in a very short time.