By Topic

Attitude control using CMAC for electric wheelchairs equipped with hydraulic cylinder

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

6 Author(s)
Fujisawa, S. ; Dept. of Electro-Mech. Syst., Takamatsu Nat. Coll. of Technol., Japan ; Akazawa, K. ; Kurozumi, R. ; Kawada, K.
more authors

We developed a posture control system for an electric wheelchair equipped with active suspension, using CMAC which is a neural network type of control. Testing of the posture control of the wheelchair, which considers a learning result as an output to the target value inputted on-line using the learning function of CMAC (cerebellar model arithmetic controller), was performed. In this paper, testing of the learning control which holds the posture horizontally both by the simulation and in the experiment by the system, is performed, and the validity of CMAC is verified.

Published in:

Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on  (Volume:3 )

Date of Conference:

16-20 July 2003