AIR-TO-FUEL RATIO CONTROL OF SPARK-IGNITION ENGINES USING GAUSSIAN NETWORK SLIDING CONTROL

This paper treats air-to-fuel ratio control of a spark ignition engine . A direct adaptive control method using Gaussian neural networks is d eveloped to compensate transient fueling dynamics and the measurement bias of mass air flow rate into the manifold. The transient fueling co mpensation method is coupled with a dynamic sliding mode control techn ique that governs fueling rate when the throttle change is not rapid. The proposed controller is simple enough for on-line computation and i s successfully implemented on an automotive engine having a multiport fuel injection system.