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Research on Combustion Control Strategy of Pusher Type Section Steel Gas Reheating Furnace

Author: WangYan
Tutor: ZuoWeiHeng
School: Chongqing University
Course: Control Theory and Control Engineering
Keywords: Furnace Combustion control Quantitative Feedback Fuzzy PID Control Air-fuel ratio optimization
CLC: TP273
Type: Master's thesis
Year: 2010
Downloads: 106
Quote: 0
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Abstract


The furnace is not only important thermal equipment for the metallurgical industry, but also energy-hungry energy consumption accounts for 25% of total energy consumption in the iron and steel industry. Furnace control technology to directly affect the quality of the strip products, energy consumption and mill life. In today's increasingly fierce competition in the iron and steel metallurgy industry to achieve the optimization of the furnace to control the major significance of the iron and steel enterprises. The purpose of production of the furnace meet rolling requirements slab temperature distribution, and achieve the billet surface oxidation burning at least, a low fuel consumption and environmental pollution. Furnace combustion process is affected by random interference more nonlinear, large inertia and strong coupling characteristics, it is not possible to establish the precise mathematical model of controlled object, so using the traditional method of control is difficult to achieve the desired control effect only rely on operator experience to control the underlying loop setting, when conditions change often makes the the process indicators actual value deviation from the target range, caused by the decline in product quality, energy consumption increased. Quantitative Feedback Theory has a strong practical value in the field of robust control design methods, without having to know the exact mathematical model of the control object. In view of the above circumstances, the quantitative feedback theory and fuzzy control technique applied to the furnace control, temperature control plus gas heat furnace - combustion cascade control mode study. Specifically, this paper is mainly to do the following: First, in-depth study of the furnace system, the furnace combustion mechanism to achieve automatic control of temperature furnace - combustion cascade control mode. The main loop temperature control in the furnace - combustion cascade control, the application of the experimental method to establish the furnace temperature characteristics of the model, using the least squares method to identify the model parameters, quantitative feedback theory temperature controller design based on the the recognition resulting model application, using fuzzy control technology to improve the controller parameters online self-tuning to improve the adaptability of the system. Second, the existing furnace combustion control strategy of double cross limiting model control slow to respond to the problem, research design improved variable bias double cross limiting model taking into account the economic performance, improve system response. Combustion efficiency and air-fuel ratio relationship for optimum air-fuel ratio in the furnace with a calorific value of gas and furnace operating conditions change, designed based on furnace temperature change, flue residual oxygen and with calorific value correction empty likelihood ratio optimization fuzzy controller to improve combustion efficiency. Finally, the control system simulation and performance analysis, and the results show that the design of the controller is robust furnace operating conditions change, the response of the system performance and economy better. Papers on the furnace system features in-depth analysis, the furnace temperature - burning cascade control system, especially for the improvement of the air-fuel ratio in the combustion control optimization design and double cross limiting model, not only in the academic research side great reference value, or the value of engineering applications.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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