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The Research Of Pellet Sintering Temperature Control System Of Rotary Kiln

Posted on:2011-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:C LiaoFull Text:PDF
GTID:2178360305994752Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Oxide pellets is an important fine blast furnace iron-making material. With the continuous development of domestic and international steel industry, the nature improvement of the oxide pellets has a vital role in economic indicators of the production technology. This is the guarantee of dominant business position in the competition.At present, most of the pellet plants began to use grate-rotary kiln production process mode. It produces large, high capacity. The temperature control is an important production processes in the rotary kiln's roasting process. It has a key role in the stabilization of production. Including the quality of finished products, the increasing of production, the reducing of energy consumption, the safety of production and so on.The production process of rotary kiln is a complex thermal process. And the process is a nonlinear, large time delay of multi-variable system. Its mathematical model is difficult to be established. On the basis of analyzing oxide pellets production process technology and system requirements, a kind of BP neural network temperature prediction model based on adaptive genetic algorithm was proposed. Both of their advantages were combined to establish the temperature prediction model of reaction zone. The prediction precision is improved, and it has been proved through the simulation in the platform Matlab. According to the temperature control requirements, a parameter self-tuning fuzzy PID control strategy based on feedback of the temperature prediction was proposed. The temperature control system's problems, such as large overshoot, long setting time and low steady-state time accuracy has been solved effectively.The control system's hardware and software were completed. The centralized management and decentralized control of the pellet production were realized. The system has been applied in practical production. The actual results show that the control algorithm has good performance and reliable stability. The quality of oxide pellets was improved, the energy consumption was reduced. It achieved good economic efficiency and social benefits.
Keywords/Search Tags:Rotary Kiln, Adaptive Genetic Algorithm, BP Neural Network, Fuzzy PID Control
PDF Full Text Request
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