Analysis of Heating Furnace Temperature Control System Based on Expert Fuzzy Control

Abstract

The temperature control problem has become an important concern in heating furnace production. In this paper, an expert fuzzy control strategy is put forward in order to realize the optimum of the temperature in the billet heating furnace, which imports the expert system to the fuzzy control. At the same time, the structure of the expert system and fuzzy controller are introduced. The production rule is adopted by using if-then to express knowledge and a forward reasoning method is used to control rules from forward to backward. The objective is to provide computer-based support for industries specialists or workers. When actual furnace temperature deviates at a certain range by using fuzzy control, while a big deviation uses expert control. It is indicated that the static error is small and the control precision is high. The application results show that the control scheme is feasible and effective.

Design of Fuzzy-Pd Controller for Heating System Temperature Control

“…The heating system simulation result for the designed Fuzzy-PD controller is shown in fig. (6). The simulation results shows the high performance of the designed controller from its time specifications that represented by rise time (tr), settling time (ts), peak time (tp) and maximum peak overshoot (Mp).…”

“…Artificially controlled structures have a wide spread of engineering capabilities in practice, where controllers are the best stable robustness among explaining a number of phenomena as in many biomedical or organic systems [2]. Various strategies have been applied to zeal dictation controls, such as PID, NN, FLC, etc.…”

“…An Expert Fuzzy controller to control the temperature of a heating furnace was produced [6], they replacing the conventional control strategy by the combination of both techniques, Expert and Fuzzy control which overcome the complexity of controlling the temperature of heating furnace and can give a precious control that leads to high productivity and low cost.…”

Development of Fuzzy-PID Temperature Controller for Heating Furnace Based on ARM9

“…Temperature is one of the important control parameters used in experiment and industrial production process [1]. Accuracy of temperature control directly affects quality and performance of the products.…”