Industrial Heating Furnace Temperature Control System Design Through Fuzzy-PID Controller

Kumar, V. Bharath; Rao, K. Sandeep; Charan, Godavarthi; Kumar, Y. V. Pavan

doi:10.1109/iemtronics52119.2021.9422491

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…A fuzzy PID controller based temperature management strategy for industrial heating furnaces is presented by V. Bharath Kumar et al in a recent study [8]. For industrial heating furnaces, the authors suggest a fuzzy PID controller-based temperature control system.…”

Section: Fuzzy Logic Control and Application Examplesmentioning

confidence: 99%

Temperature control in electric furnaces: Methods, applications, and challenges

Chen

2023

J. Phys.: Conf. Ser.

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Temperature control of electric heating furnaces, a common piece of equipment in industrial production, is essential for assuring product quality and enhancing production effectiveness. In order to better understand the similarities and differences in temperature management between various types of electric heating furnaces, this paper first discusses the fundamental concepts and classifications of electric heating furnaces. Following that, it systematically describes the applications of the various temperature control techniques now used for electric heating furnaces, such as PID control, fuzzy logic control, genetic algorithm control, and model predictive control. This paper further analyzes the difficulties in controlling the temperature of electric heating furnaces and identifies potential future development trends in light of the issues that currently used control methods must deal with in practical applications, such as insufficient control accuracy, slow response speed, and poor stability. Finally, it summarizes the information in the entire paper and considers the direction of temperature control research for electric heating furnaces. This research will focus on new control theories and algorithms, furnace body design optimization, control system integration, and intelligent adaptive temperature control. In order to advance the development and advancement of technology in this area, the goal of this article is to provide a thorough theoretical reference and practical advice for the temperature management of electric heating furnaces.

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Section: Fuzzy Logic Control and Application Examplesmentioning

confidence: 99%

Temperature control in electric furnaces: Methods, applications, and challenges

Chen

2023

J. Phys.: Conf. Ser.

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“…Adaptive and intelligent fuzzy classifiers and controllers have become more popular in recent years as a means of overcoming a significant number of difficulties faced by the industrial sector [1]. A large number of dynamic process plants with a variety of orders and kinds have been represented heuristically and recognized.…”

Section: Introductionmentioning

confidence: 99%