By Topic

A new intelligent decoupling controller based on BP neural network PID with predictive compensation and the research on its application to an air-cushioned headbox

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

2 Author(s)
Haipeng Pan ; Sch. of Mechanism & Autom., Zhejiang Sci-Tech Univ., Hangzhou, China ; Yuying Xu

Analyzing and summarizing the advantages of the traditional decoupling algorithms, a new intelligent decoupling controller based on BP neural network PID with predictive compensation is designed to reduce the influence between the variables in multivariable, nonlinear and strong-coupling system. This algorithm gains a decoupling performance by improving the structure of the traditional neural network PID. It also combines prediction control idea, which can accelerate the decoupling control speed and reduce the initial control overshoot effectively. Finally, the results of simulations using the nonlinear model of air-cushioned headbox indicate that the algorithm has the characteristics of simple realization, quick dynamic behavior and small overshoot, which can be regarded as an innovation and improvement for the traditional decoupling algorithm.

Published in:

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Date of Conference:

7-9 July 2010