The Design And Simulation Of The Temperature Control System Of Car-type Annealing Furnace

Annealing furnace is one of the major equipments in the steel rolling industry and machine shop. It has the characteristics of high efficiency, high-class products and low consumption of the energy cost. Also, it can improve the quality and it has been extensively used in the production line of metallurgical and mechanism industry. So the study of annealing furnace temperature control system makes sense in increasing productivity, improving product quality and economizing energy.The paper is based on the automatic control system of An-Steel Corporation car-type annealing furnace, which briefly introduces the developing status of annealing computer control system, the general condition of craftwork, control function and requirement of the annealing furnace. Then, on the base of analysis of the functions and characters of hardware(Eurotherm T2550) and software(Genesis32) of the system are introduced.According to running effect of furnace temperature system in factory, the evaluation presented is that PID control furnace temperature system has quite good performance running in stable process. But the temperature system is fluctuated badly by steel quantity, steel shape and steel size. These factors have bad effect on the furnace temperature. In order to control temperature of the annealing furnace more precisely and resolve the problem, the car-type annealing furnace temperature control system based on Active Disturbances Rejection Controller is designed in the thesis. In addition, the dynamic model of car-type annealing furnace temperature system is identified by RBF neural network in the thesis, which is used as objective to be controlled. Finally, the system is simulated using the Simulink in Matlab, and it comes to the conclusion that the furnace temperature control system based on Active Disturbances Rejection Controller has better performance than the furnace temperature control system based on PID in the following aspect:better following performance for furnace temperature varying, shorter overshoot, shorter adjusting time and greater robustness.