CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Robust H2 Control of the Nuclear Reactor Systems

by Rehab M. Saeed, Gamal M. El Bayoumi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 2
Year of Publication: 2017
Authors: Rehab M. Saeed, Gamal M. El Bayoumi
10.5120/ijca2017915549

Rehab M. Saeed, Gamal M. El Bayoumi . Robust H2 Control of the Nuclear Reactor Systems. International Journal of Computer Applications. 176, 2 ( Oct 2017), 33-39. DOI=10.5120/ijca2017915549

@article{ 10.5120/ijca2017915549,
author = { Rehab M. Saeed, Gamal M. El Bayoumi },
title = { Robust H2 Control of the Nuclear Reactor Systems },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2017 },
volume = { 176 },
number = { 2 },
month = { Oct },
year = { 2017 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number2/28528-2017915549/ },
doi = { 10.5120/ijca2017915549 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:41:30.098222+05:30
%A Rehab M. Saeed
%A Gamal M. El Bayoumi
%T Robust H2 Control of the Nuclear Reactor Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 2
%P 33-39
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Robust control theory aims to analyze and design an accurate control system when the system has significant uncertainties. The goal is to synthesize a control law to maintain the system response and error signals to be within given tolerances despite the effect of the uncertainties on the system and to maintain the stability for all plant models in an expected band of uncertainty [1]. In this paper the design of a robust controller using the linear quadratic Gaussian, H2 optimal control and the robust tracking with disturbance rejection algorithms are represented where the fuel and coolant temperatures feedback are included.

References
  1. Adel Ben Abdennour, Robert M. Edwards, and Kwang Y.Lee, 1992. LQG/LTR Robust control of nuclear reactors with improved temperature performance, IEEE Transactions on nuclear Science VOL 39.
  2. Kemin Zhou, John C.Doyle, 1999 Essentials of Robust Control , Prntice Hall.
  3. Ronal S.Burns, 2001 Advanced Control Engineering, Butterworth- Heinemann.
  4. Robert M.Edwards, Kwange Y.Lee and Asok Ray, 1991. Robust optimal control of nuclear reactors and power plants, University Park, Pennsylvania.
  5. Michael Athans, “A tutorial on the LQG/LTR method”, 1986. Massachusetts Insitute of Technology Cambrige.
  6. Julio H. Braslavsky, Control system design Lecture 18 state feedback tracking and state estimation . University of Newcastle.
  7. Dr.Jake Abbott, Robust Tracking with Disturbance Rejection, University of Utah.
  8. Mehrdad N. Khajavi, Golamhassan, Paygane, Mohammed B. Menhaj. Robust optimal gain scheduling controller for nuclear reactors.
  9. D.-W. Gu, P.Hr. Petkov and M.M. Konstantinov, 2005 Robust Control Design with Matlab.
  10. Ahmet Behcet Acikmese, Martin Corless, 2001, Robust tracking and disturbance rejection for uncertain /nonlinear systems with PI controllers, School of Aeronautics and Astronautics ,Purdue University.
  11. M. Ragheb 2014, Pint reactor kinetics.
  12. Bruce Francis, 2010 ECE1655 Optimal Control.
Index Terms

Computer Science
Information Sciences

Keywords

Robust control kinetic equation Linear Quadratic Gaussian H2 optimal control nuclear reactor.

Powered by PhDFocusTM