By Topic

Adaptive composite control of electronic throttle using local learning method

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
$33 $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

1 Author(s)
Robert Grepl ; Mechatronics Laboratory, Faculty of Mechanical Engineering, Brno University of Technology, Czech Republic

This paper deals with an application of receptive field weighted regression (RFWR) method for the composite control of automotive electromechanical throttle. Simulation experiments use the plant model optimized for hardware-in-the-loop simulation and tuned according to experimental results. Composite controller consists of PID and feedforward inverse dynamics implemented using RFWR. Because of significant dry friction in the system, two independent RFWR approximators are used to solve the problem of discontinuity at zero velocity. Satisfactory simulation results are presented.

Published in:

2010 IEEE International Symposium on Industrial Electronics

Date of Conference:

4-7 July 2010