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.
In reheating furnace, the response of strip temperature to furnace temperature is severely nonlinear and hysteretic. Although it is very important to obtain information on billet temperatures, it is not feasible during furnace operation. Consequently, a billet temperature profile should be estimated. The reheating furnace and roughing mill of a hot strip mill were studied. A novel control method using measurement data gathered from the production line is proposed. The finite volume method was used for discretization of the mathematical model while the slabs are still in the reheating furnace, and combustion gases are introduced as the boundary condition of the transient conduction equation of the slab. Heat transfer characteristics and temperature behavior of the slab is investigated by changing parameters. The application of the method led to considerable savings in fuel and power consumption.
As a new automatic control theory and technology, model free control has been applied widely and effectively in the fields of fine oil, chemical, power, light-industry and environmental protection because of good control functions to the complex nonlinear systems such as long-time delay, timevarying, large interference and strong-coupling one and so on. In this paper, a new steel heat furnace temperature control system is designed, based on the model free control theory with a combination of the original PLC control system. Model free control is introduced to steel industry successfully.
In view of the Electrical Safety demand, ,carries on using the monolithic integrated circuit to the power source condition examines and judges and carries on the corresponding control, has realized the double power source power supply automatic cut over.The chaotic oscillator detection method uses the bifurcation behavior of the Duffing oscillator to detect the signals. There are weak signals before arcing fault , which signals are annihilated by strong noise. When the signal is added to duffing oscillator signal detection as periodic disturbed force , if the system is on state of interim chaos , which proves there is arcing sound , then arcing sound is acted as early warning. Arcing sound , arcing light and current happen simultaneously. The monitor system sends out warning signals of arcing fault . The system fulfills on2line detection for arcing fault , and early warning is established by arcing sound , arcing light and short2circuit current . The system is proved by experiment to be of high accuracy and high speed.
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