By Topic

Neural network inverse control of variable frequency speed-regulating system in V/F mode

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

4 Author(s)
Xianzhong Dai ; Dept. of Autom. Control, Southeast Univ., Nanjing, China ; Guohai Liu ; Hao Zhang ; Xinghua Zhang

An induction motor driven by a normal and low-cost inverter running in V/F mode, named as a variable frequency speed-regulating system in V/F, is widely used, but its control performance is not good enough to meet the needs of speed-regulation. So it is useful to improve its control performance without changing the original structure of variable frequency speed-regulating system (VFSRS). Considering the induction motor and the inverter as a whole controlled object, a mathematic model of such variable frequency speed-regulating system in V/F and its inverse model, with or without compensation, are given in this paper. Constructing a neural network inverse and combining it with the variable frequency speed-regulating system in V/F, a pseudo-linear system is completed. Then a linear close-loop adjuster is designed to obtain a better speed-regulating performance. Results of experiments demonstrate that speed-regulating performances can be greatly improved using this simple method.

Published in:

31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005.

Date of Conference:

6-10 Nov. 2005