By Topic

Iterative learning air-fuel ratio control with adaptation in spark ignition engines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Efimov, D.V. ; Control of Complex Syst. Lab., Inst. of Problems of Mech. Eng., St. Petersburg, Russia ; Javaherian, H. ; Nikiforov, V.O.

The paper addresses the problem of air-fuel ratio (AFR) stabilization applying learning techniques. The proposed strategy consists in iterative redesign of control coefficients based on the control obtained in a previous step in conjunction with an adaptive scheme. The interesting feature of the proposed solution is that the adaptive control attempts to match not the AFR dynamics but rather the error dynamics originated by the substitution of the feedforward control in the real system. Results of application are reported and discussed.

Published in:

American Control Conference (ACC), 2010

Date of Conference:

June 30 2010-July 2 2010