This paper proposes a new concept of PI-like fuzzy knowledge–based controller with self-tuning capability, high robustness and rapid development capability to regulate air/fuel ratio for gasoline direct injection engines. The proportional and integral terms of the PI-like fuzzy knowledge–based controller are nonlinear functions of the input signals and self-tuned in real time at operation points, which can reduce the effort spent on calibrating controller parameters. The PI-like fuzzy knowledge–based controller is implemented on a production gasoline direct injection engine and evaluated through case studies. The experimental results show that the proposed controller can regulate air/fuel ratio at stoichiometric value with less settling time and less oscillation compared with the conventional Proportional-Integral (PI) controller for transient operation.


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    Title :

    Intelligent air/fuel ratio control strategy with a PI-like fuzzy knowledge–based controller for gasoline direct injection engines


    Contributors:
    Li, Ziyang (author) / Li, Ji (author) / Zhou, Quan (author) / Zhang, Yunfan (author) / Xu, Hongming (author)


    Publication date :

    2019-07-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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