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

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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.


Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Publication statusPublished - 5 Jun 2018


  • air/fuel ratio, fuzzy control, Gasoline direct injection engine, nonlinear control, self-tuning control