Longitudinal motion control of unmanned vehicles refers to the accurate speed control by driving or braking system. Due to the nonlinearity and parameter uncertainties of the vehicle system and the desired speed changing in various driving environment, the longitudinal motion control of unmanned vehicles is difficult to realize. To solve the problem, a longitudinal motion controller of autonomous vehicle based on feedforward-fuzzy PI is designed in this paper, which is divided into upper controller and lower controller according to the control flow. The upper controller is the proposed feedforward-fuzzy PI controller, including a feedforward controller and a fuzzy PI controller. The lower controller includes a logic switching controller and an inverse longitudinal vehicle model. In order to verify the effectiveness of the proposed controller, Simulink and CarSim are used to build a co-simulation platform. The simulation results show that when the autonomous vehicle desired speed changes, the control accuracy of the proposed controller is higher than that of the traditional controller, and thus the longitudinal motion control of the vehicle can be better realized.


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    Title :

    Longitudinal motion control of autonomous vehicle based on feedforward-fuzzy PI


    Contributors:
    Jiang, Xin (author) / Xing, Haitao (author) / Chen, Shenghua (author)

    Conference:

    4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022) ; 2022 ; Guangzhou,China


    Published in:

    Proc. SPIE ; 12257


    Publication date :

    2022-08-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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