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

Published on November 2014 by B.manikandan, R.muniraj
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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
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Index Terms

Computer Science
Information Sciences

Keywords

Simc Half Rule Fuzzy Pid Integral Square Error (ise)