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RESEARCH ON TEMPERATURE CONTROL OF HEATING FURNACE WITH INTELLIGENT PROPORTIONAL INTEGRAL DERIVATE CONTROL ALGORITHM

ABSTRACT
In view of the problems of large overshoot and large oscillation frequency in cur¬rent furnace temperature control, based on the development of intelligent control theory, expert control, fuzzy control, and neural network control in intelligent control theory are combined with proportional integral derivative (PID) control. The intelligent PID control algorithm is used to carry out numerical simulation and experimental research on these several control algorithms. The results show that the adjustment effect of the intelligent PID control algorithm is significantly better than the traditional PID control algorithm. Among them, the fuzzy self-tuning PID control algorithm and the fuzzy immune PID control algorithm are feasible in the application of furnace temperature control. The neural network PID control algorithm It also has good development and application potential.
KEYWORDS
PAPER SUBMITTED: 2019-10-26
PAPER REVISED: 2019-11-30
PAPER ACCEPTED: 2020-01-05
PUBLISHED ONLINE: 2020-02-29
DOI REFERENCE: https://doi.org/10.2298/TSCI191026081Z
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2020, VOLUME 24, ISSUE 5, PAGES [3069 - 3077]
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© 2020 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence