An adaptive optimal control algorithm based on LQR theory is designed for the automated manual transmission vehicle starting up. The control strategy uses a reduced-order observer of driveline system to estimate the error caused by changes of vehicle parameters. With the estimated modeling error, the optimal control law can engage the clutch rapidly and smoothly when the work condition of the driveline system changes. Through the simulink-AMESim joint simulations on a mid-size passenger car (BESTURN B50 of FAW, China), it is proved that the proposed control strategy can complete the starting-up of the car with satisfied performance even when it's parameters changes.


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    Title :

    Adaptive optimal control of starting-up of automated manual transmission


    Contributors:
    Wang, Bin (author) / Gao, Bingzhao (author) / Chen, Hong (author)


    Publication date :

    2014-06-01


    Size :

    849010 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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