By Topic

Neural Network Sliding Mode Controller for Linear Elevator Using Permanent Magnet Linear Synchronous Motor

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

4 Author(s)
Qing Hu ; Sch. of Electr., Shenyang Univ. of Technol. Shenyang, Shenyang, China ; Hongxia Li ; Hiayan Yu ; Xin Zhang

In order to improve the tracking and robust performances of a linear elevator driving by permanent magnet linear synchronous motor (PMLSM), a stable neural network sliding mode controller (NN-SMC) for a linear motor speed loop control is proposed. The neural network control is highly efficient for some large data sets via self-organizing, learning, and forgetting. Analysis of simulations reveals that proposed method is robust in the presence of uncertainties and bounded external disturbances.

Published in:

Natural Computation, 2009. ICNC '09. Fifth International Conference on  (Volume:1 )

Date of Conference:

14-16 Aug. 2009