Referenced Items are not available for this document.
PID control schemes have been widely used in most of process control systems represented by chemical process for a long time. However, it is still a very important problem how to determine or tune the PID parameters, because these parameters have a great influence on the stability and the performance of the control system. On the other hand, in the last twenty years, a genetic algorithm is attracted as one method which gives us optimal answers for search, optimization and machine learning problems. In this paper, we propose a new genetic tuning algorithm of PID parameters, in which the search area of PID parameters is reduced sharply by considering an effective parameters' area from the viewpoint of the control performance
Published in:
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
(Volume:1
)
Date of Conference: 12-15 Oct 1997
- Page(s):
- 923 - 928 vol.1
- Meeting Date :
- 12 Oct 1997-15 Oct 1997
- ISSN :
- 1062-922X
- Print ISBN:
- 0-7803-4053-1
- INSPEC Accession Number:
- 5753259
- Conference Location :
- Orlando, FL
- Digital Object Identifier :
- 10.1109/ICSMC.1997.626222
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
