CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Tuning of PID Controller for Different Order Process using Intelligent Control Algorithm

Published on November 2014 by B.manikandan, R.muniraj
journal_cover_thumbnail

International Conference on Innovations in Information, Embedded and Communication Systems
Foundation of Computer Science USA
ICIIECS - Number 3
November 2014
Authors: B.manikandan, R.muniraj
c3cc6cea-35f9-4d2a-9c20-0adb3d8a7ef8

B.manikandan, R.muniraj . Tuning of PID Controller for Different Order Process using Intelligent Control Algorithm. International Conference on Innovations in Information, Embedded and Communication Systems. ICIIECS, 3 (November 2014), 11-14.

@article{
author = { B.manikandan, R.muniraj },
title = { Tuning of PID Controller for Different Order Process using Intelligent Control Algorithm },
journal = { International Conference on Innovations in Information, Embedded and Communication Systems },
issue_date = { November 2014 },
volume = { ICIIECS },
number = { 3 },
month = { November },
year = { 2014 },
issn = 0975-8887,
pages = { 11-14 },
numpages = 4,
url = { /proceedings/iciiecs/number3/18665-1477/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations in Information, Embedded and Communication Systems
%A B.manikandan
%A R.muniraj
%T Tuning of PID Controller for Different Order Process using Intelligent Control Algorithm
%J International Conference on Innovations in Information, Embedded and Communication Systems
%@ 0975-8887
%V ICIIECS
%N 3
%P 11-14
%D 2014
%I International Journal of Computer Applications
Abstract

Proportional-Integral-Derivative (PID) control propose the simplest and yet the most efficient solution to many real-world control. The PID controller design problem is formulated by minimizing the error and adjusting the controller outputs. . It calculates an error as the difference between process variable and set point. It has three control parameters like ( ). The main objective this paper is used to determine the controller parameters for different order process using conventional and intelligent control tuning algorithm. The controller performance seems to be better for both set point tracking (servo problem) and load regulation (regulator problem). The performance is analysed by using the parameters such as rise time, settling time, overshoot, and maximum peak sensitivity.

References
  1. S. Alcantra, R. Vilanova, C. Pedret (2013) "PID control in terms of robustness/performance and servo/regulator trade-offs: A unifying approach to balanced auto tuning". Journal of process control 23 527-542.
  2. Bonissone, P. P. et. al, "Industrial Applications of Fuzzy Logic at General Electric". Proceedings of the IEEE, March 1995, pp. 450-465.
  3. Kiam Heong Ang, Gregory Chong, (2005) "PID Control System Analysis, Design and Technology" IEEE Transactions on Control Systems Technology, Vol. 13, No. 4. S.
  4. Alcantra. S, Pedret. C, Vilanova. R (2010), "On the model matching approach to PID design: Analytical perspective for robust Servo/Regulator tradeoff tuning", Journal of Process Control 20, 596-608.
  5. Alcantra. S, Zhang. W. D, Pedret. C, Vilanova. R, S. Skogested (2010), "IMC-like Analytical H-? design with S/SP mixed sensitivity consideration: Utility in PID tuning guidance", Journal of Process Control.
  6. Sigurd Skogestad, (2003) "Simple Analytic Rules for Model Reduction and PID Controller Tuning", Journal of Process Control 13, 291-309.
  7. Sigurd Skogestad, Ian Postlethwaite, (2000) "Multivariable Feedback Control Analysis and Design".
  8. Kealy T and O'Dwyer A. (2003) 'Analytical ISE calculation and optimum control system design' School of Electrical Engineering system Conference, pp. 418-423
  9. Sigurd Skogestad, (2003) 'Simple analytic rules for model reduction and PID controller tuning', Journal of Process Control 13 291-309.
  10. Richard H. Middleton, Stefan F. Graebe, (1999) 'Slow stable open-loop poles: to cancel or not to cancel', Automatica 35, 877-886.
Index Terms

Computer Science
Information Sciences

Keywords

Simc Half Rule Fuzzy Pid Integral Square Error (ise)