On applying neural tuner to PI-controller parameters calculation for heating furnaces control

Author

Eremenko, Y.I. ; Poleshchenko, D.A. ; Glushchenko, A.I.

Author_Institution

Automated & Inf. Control Syst. Dept., Nat. Univ. of Sci. & Technol. “MISIS”, Stary Oskol, Russia

fYear

2015

fDate

21-23 May 2015

Firstpage

1

Lastpage

4

Abstract

A problem of automatic on-line PI-controller parameters tuning for heating plants control is considered. Such adjustment is proposed to be made with the help of neural tuner including two neural networks. Each of them is responsible for KP, KI values calculation for furnace heating and cooling processes respectively. The structure of the proposed tuner is shown. Two muffle furnaces functioning in different modes are used as plants. The results of experiments make it possible to conclude that proposed neural tuner helps to achieve at least 3% and 5% decrease of time amount and energy consumption respectively in comparison with a conventional PI-controller.

Keywords

PI control; cooling; furnaces; heating; industrial plants; neurocontrollers; process control; KI value; KP value; automatic online PI-controller parameter tuning; energy consumption reduction; furnace cooling process; furnace heating process; heating furnace control; heating plant control; muffle furnaces; neural networks; neural tuner; time reduction; Biological neural networks; Furnaces; Heating; Neurons; Transient analysis; Tuners; PI-controller; adaptive control; heating furnaces; neural network; neural tuner;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Communications (SIBCON), 2015 International Siberian Conference on

Conference_Location

Omsk

Print_ISBN

978-1-4799-7102-2

Type

conf

DOI

10.1109/SIBCON.2015.7147053

Filename

7147053