Vehicle safety and control is attracting attention increasingly in an attempt to improve the stability and manoeuvrability of vehicles. Three degrees of freedom vehicle dynamic model (called planar vehicle model) is established. Based on theories of fuzzy PID control and neural network based-Controller, controller of vehicle stability is designed by using the method of direct yaw rate control and the two different control strategies. The controllers were compared under one road condition which is a lane change of manoeuvre. By comparing and analyzing the control effect of fuzzy PID control and neural network based-Controller, the result shows as follows: the two controllers improved the yaw rate to follow the reference yaw rate but, using the fuzzy PID controller gave a better and closer path for the desired path of yaw rate compared to using of the neural network controller.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vehicle Yaw Rate Control For Lane Change Maneuver Using Fuzzy PID Controller And Neural Network Controller


    Contributors:


    Publication date :

    2020-12-02


    Size :

    1151066 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Model Predictive Controller for Automated Lane Change Maneuver with Multi-Constraints

    Yang, Mingliang / Jiang, Kun / Yu, Weiguang et al. | ASCE | 2021


    A Model Predictive Controller for Automated Lane Change Maneuver with Multi-Constraints

    Yang, Mingliang / Jiang, Kun / Yu, Weiguang et al. | TIBKAT | 2021


    PERSONALIZED VEHICLE LANE CHANGE MANEUVER PREDICTION

    WANG ZIRAN / HAN KYUNGTAE / GUPTA ROHIT et al. | European Patent Office | 2023

    Free access

    Robust Traffic Vehicle Lane Change Maneuver Recognition

    Su, Chen / Sun, Hao / Wu, Jian et al. | SAE Technical Papers | 2017


    Robust Traffic Vehicle Lane Change Maneuver Recognition

    Sun, Hao / Deng, Weiwen / Su, Chen et al. | British Library Conference Proceedings | 2017