Scheduled System Maintenance:
On May 6th, single article purchases and IEEE account management will be unavailable from 8:00 AM - 5:00 PM ET (12:00 - 21:00 UTC). We apologize for the inconvenience.
By Topic

A novel design of PID controller for multivariable control system

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)
Xiaowei Wu ; Dept. of Autom., Taiyuan Univ. of Sci. & Technol., Taiyuan ; Jinggang Zhang

A single-neural identification-free adaptive intelligent controller based on grey prediction is developed for multi-input and multi-output(MIMO) system with time-delay. The basic method is that the MIMO system is decomposed into a set of multi-input-single-output subsystems. The decoupling problem of MIMO system is solved by a set of grey model GMC(1,n), which is used to approximate the MIMO system dynamic behavior. The GMC(1,n)model, obtained by integrating the convolution technology in the multi-variable-first-order grey model GM(1,n) model to establish the exact solution of grey model, greatly enhances the accuracy of prediction. In addition, each subsystem is controlled by PID controller, the parameters of which are regulated by using an identification-free adaptive intelligent algorithm. The intelligent algorithm uses performance criteria based on geometrical properties of the control error process, and needs no accurate mathematical model or no identification model of the controlled system. The simulation results show that the proposed controller minimize remarkably the interaction between every input and every output, and has fast transient response and strong robustness.

Published in:

Industrial Technology, 2008. ICIT 2008. IEEE International Conference on

Date of Conference:

21-24 April 2008