The invention discloses a genetic algorithm optimization-based vehicle rear-end collision fuzzy control method. The genetic algorithm optimization-based vehicle rear-end collision fuzzy control method is performed by a dual-input and single-output fuzzy controller. Relative distance error ds and relative speed error dv are selected to serve as input variables of the fuzzy controller, and accelerated speed Fad control amount which is actually output serves as an output variable. A genetic algorithm optimization fuzzy control rule is used, so that the performance of a vehicle control system is improved, the response speed is high, the avoidance of occurrence of a rear-end collision accident is facilitated, the energy consumption of a vehicle is reduced, and the control effect on collision avoidance is achieved.


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    Title :

    Genetic algorithm optimization-based vehicle rear-end collision fuzzy control method


    Contributors:
    CHEN CHEN (author) / LI MEILIAN (author) / XIANG HONGYU (author) / PEI QINGQI (author) / WEI KANGWEN (author) / LYU NING (author)

    Publication date :

    2015-05-20


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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