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Reseach Article

Research and Application of predictive control based on state feedback theory in power plant control system

by R D Kokate, L.M.Waghmare
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 26
Year of Publication: 2010
Authors: R D Kokate, L.M.Waghmare
10.5120/472-778

R D Kokate, L.M.Waghmare . Research and Application of predictive control based on state feedback theory in power plant control system. International Journal of Computer Applications. 1, 26 ( February 2010), 101-109. DOI=10.5120/472-778

@article{ 10.5120/472-778,
author = { R D Kokate, L.M.Waghmare },
title = { Research and Application of predictive control based on state feedback theory in power plant control system },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 26 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 101-109 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number26/472-778/ },
doi = { 10.5120/472-778 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:48:56.098671+05:30
%A R D Kokate
%A L.M.Waghmare
%T Research and Application of predictive control based on state feedback theory in power plant control system
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 26
%P 101-109
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper purposed a new generalized predictive control based on state feedback theory for the large inertia and large delay characteristics of the discrete reheat steam temperature plant. The idea is to compensate the large inertia and delay characteristics of the plant by the state feedback theory and the generalized plant by predictive control. The simulation results show that that the new control system has good robustness and transient performance. So it is an effective control strategy for large delay industry process.

References
  1. Katsuhiko ogata, Discrete-Time control system, second edition Pearson India 2002.
  2. Katsuhiko ogata, Modern control engineering, fourth edition prentice Hall of India New Delhi-110001 2005.
  3. Hua Zhi-gang ,HUA Hua. Reasearch and application of new predictive control based on state feedback theory in power plant application,IEEE Congress on Evolutionary computation(CEC-2007).
  4. Han zhongxu Lv Xiuhong ,Han Li Thee Robustness analysis of the state observer in the boiler super heater temperature control,[J].proceedings of the Chinese society for electrical Engineeering.23 (2003) 177-180.
  5. Han znongxu. “An algebraic analysis method for state feedback pole configuration on second order System of higher order”, [J]l .Proceedings of the Chinese society for electrical Engineering.22 (2002) 146-149.
  6. Liu jain hung Yuan zhen. ,Reheat temperature control system Based on state variable controller, [J]. Electric power.35 (2002)53-56
  7. Han zhongxu. Application of state observer and state feedback in sub-critical boiler stem temperature control system,[J].proceedings of the Chinese for electrical 19 (1999) 76-79.
  8. Tsang T.T.C, Clarke D.W. Generalized predictive control with constrains, proc.IEE 135 (1988) 451-460.
  9. Brain Aufderheid,B.Wayne Bequette“.Extension of dynamic matrix control to multiple models,’’ [J]. Computer and chemical Engineering 27 (2003) 1079-1096.
  10. E.F. Camacho, C. Bordons, Model Predictive Control in the Process industry, Springer - Velag, London, 1995.
Index Terms

Computer Science
Information Sciences

Keywords

Generalized predictive control (GPC) Pole placement Observer controller state feedback