Abstract
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 language | English |
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Pages (from-to) | 1-13 |
Number of pages | 13 |
Journal | Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering |
DOIs | |
Publication status | Published - 5 Jun 2018 |
Keywords
- air/fuel ratio
- fuzzy control
- Gasoline direct injection engine
- nonlinear control
- self-tuning control
ASJC Scopus subject areas
- Aerospace Engineering
- Mechanical Engineering