Temperature Control of
Electrical Resistance Furnace based on a Real Time Identification Method
using Adaptive Filters
Assistant Professor Caius
Electrical Engineering and Industrial Informatics Department
Engineering Faculty of Hunedoara
Polytechnic University of Timisoara
Abstract: In this paper is presented a possibility of control of the
electrical resistance furnace temperature. It is been considered that this
process can be very well approximate taking into consideration that the
heating process model is of a delayed time constant system of first order.
To determine the values of the process parameters of the analogical system
function of the process, she was approximate with a digital system function
of the process of which parameters can be determined in an adaptive manner.
Based on these values, the values of the process parameters of the
analogical system can be computed, also in an adaptive manner.
The process controller parameters are computed based on the values of the
process parameters of the analogical system and according to some criteria.
The criteria, which can be used in choosing the delayed time controllers,
are criteria based on stability limits method, criteria based on
identification result and experimental criteria determined with process in
From the earlier presented here result that the temperature control process
is realized using adaptive filter in identification scope.
Because the temperature measured process is very disturbed by noise it was
used an adaptive filter ALMS (Average Least Mean Squares) in scope of noise
Finally are presented the advantages of the proposed temperature control
method comparative to other.
Brief Biography of the Speaker:
Caius Panoiu was born in 1965, graduate the Electrical Engineering
Faculty, Polytechnic University of Timisoara in 1989. He receives his PhD
degree in Electrical Engineering in 1999 and is currently Assistant
Professor at the Electrical Engineering and Industrial Informatics
Department of Engineering Faculty of Hunedoara, Polytechnic University of
Timisoara, Romania. His research interests focus on signal processing,
modelling and simulating systems, and data acquisition systems.
He has until now published over 80 research papers in Journals and
conferences and participated in 8 research projects, from which 2 as