Development of a High-Speed High-Precision Learning Control System for the Engine Control

Air-fuel ratio learning control has generally been adopted in automobile engines at present. For this control, it is important that learning at a high speed be minutely performed to cope with a driving state which may vary considerably at high speed. This report describes a process for attaining this objective, in which regular learning, having a high learning detection precision, and presumptive learning for the transient region and the region where air-fuel ratio feedback is not affected are performed at a high speed while monitoring the progress of such learning.