Air to Fuel Ratio Control of Spark Ignition Engines Using Dynamic Sliding Mode Control and Gaussian - American Control Conference, Proceedings of the 1995
نویسنده
چکیده
This paper deals air to fuel ratio control of a spark ignition engine, whose pollutant is a major cause of air pollution. A direct adaptive control using Gaussian neural networks is developed to compensate transient fueling dynamics and measurement error in mass air flow rate into the cylinder. The transient fueling compensation method is coupled with a dynamic sliding mode control technique that governs the steady state fueling rate. The proposed controller is simple enough for on-line computation and is implemented on an automotive engine using a PC-386.
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