Details

Title

On line diagnostics and self-tuning method for the fluidized bed temperature controller

Journal title

Archives of Thermodynamics

Yearbook

2016

Issue

No 1

Authors

Keywords

fluidized bed boiler ; bed temperature ; temperature control ; statistical process control

Divisions of PAS

Nauki Techniczne

Coverage

31-46

Publisher

The Committee of Thermodynamics and Combustion of the Polish Academy of Sciences and The Institute of Fluid-Flow Machinery Polish Academy of Sciences

Date

2016

Type

Artykuły / Articles

Identifier

DOI: 10.1515/aoter-2016-0003

Source

Archives of Thermodynamics; 2016; No 1; 31-46

References

ChienI (1988), IMC - PID controller design An extension In IFAC Adaptive Control of Chemical Processes Conf, Proc, 147. ; LixiaB (2003), Modeling and simulating of bed temperature control of circulating fluidized boiler North China Electric Power, Univ, 30, 1. ; PorzuczekJ (2012), Optimization of the fluidized bed boilers operation in nonstationary states Monograph Environmental Engineering Cracow University of Technology in Polish, Ser, 405. ; LiukkonenM (2013), Adaptive soft sensor for fluidized bed quality : Applications to combustion of biomass, Fuel Process Technol, 105, 46, doi.org/10.1016/j.fuproc.2011.06.015 ; LiuX (2010), Fuzzy self - tuning PID temperature control for biomass pyrolysis fluidized bed combustor In nd Conf on Information, Proc IEEE Int Management Engineering, 2, 384. ; BudnikM (2012), Application of neural modelling in hybrid control model of fluidized bed boiler fired with coal and biomass In th Carpathian Control Conf, Proc Int, 13, 69. ; AygunH (2011), Comparison of PSO - PID FLC and PID in a circulating fluidized bed boiler In th Conf on Electrical and Electronics, Proc Int Engineering, 7, 376. ; FuP (2005), Research on fuzzy control algorithm for bed temperature control of circulating fluidized bed boiler In Fourth Conf Machine Learning and, Proc Int Cybernetics, 825. ; LiuCh (2010), The study of the control of the bed temperature in the circulating fluidized bed boiler based on the fuzzy control system In Conf on Computer and Communication Technologies in Agriculture, Proc Int Engineering, 285.

Editorial Board

International Advisory Board

J. Bataille, Ecole Central de Lyon, Ecully, France

A. Bejan, Duke University, Durham, USA

W. Blasiak, Royal Institute of Technology, Stockholm, Sweden

G. P. Celata, ENEA, Rome, Italy

L.M. Cheng, Zhejiang University, Hangzhou, China

M. Colaco, Federal University of Rio de Janeiro, Brazil

J. M. Delhaye, CEA, Grenoble, France

M. Giot, Université Catholique de Louvain, Belgium

K. Hooman, University of Queensland, Australia

D. Jackson, University of Manchester, UK

D.F. Li, Kunming University of Science and Technology, Kunming, China

K. Kuwagi, Okayama University of Science, Japan

J. P. Meyer, University of Pretoria, South Africa

S. Michaelides, Texas Christian University, Fort Worth Texas, USA

M. Moran, Ohio State University, Columbus, USA

W. Muschik, Technische Universität Berlin, Germany

I. Müller, Technische Universität Berlin, Germany

H. Nakayama, Japanese Atomic Energy Agency, Japan

A. Nenarokomov, Moscow Aviation Institute, Russia

S. Nizetic, University of Split, Croatia

H. Orlande, Federal University of Rio de Janeiro, Brazil

M. Podowski, Rensselaer Polytechnic Institute, Troy, USA

A. Rusanov, Institute for Mechanical Engineering Problems NAS, Kharkiv, Ukraine

M. R. von Spakovsky, Virginia Polytechnic Institute and State University, Blacksburg, USA

A. Vallati, Sapienza University of Rome, Italy

H.R. Yang, Tsinghua University, Beijing, China



×