By Topic

Autotuning temperature control using identification by multifrequency binary sequences

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 $33
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

3 Author(s)
D. Sankowski ; Tech. Univ. Lodz, Poland ; J. Kucharski ; W. Lobodzinski

The PID control algorithm applied in the paper is still one of the most popular in many branches of industry. Modern temperature controllers should be equipped with an identification algorithm which allows the determination of the controller settings automatically with high accuracy. This approach leads to the idea of autotuning controllers, which are often based on knowledge of the frequency response of the system. In the paper the multifrequency binary testing identification method in the frequency domain using multifrequency binary sequences (MBS) is applied. This method provides rich information about process dynamics in the form of a few points of the frequency response even though the process is only slightly disturbed. Additionally, the procedures discussed ensure proper choice of the controller structure and its parameters during a short duration identification experiment as well as correction of the errors due to the slow aspects of the furnace dynamics. This allows the MBS method to be applied in the closed loop structure just after the temperature set point has been reached. Start-up identification, which is also described, is a source of a priori knowledge, complementing the MBS method. The presented theory has been verified by experiments. A 20 kW industrial electric resistance furnace was used in the experimental work

Published in:

IEE Proceedings - Control Theory and Applications  (Volume:144 ,  Issue: 3 )