Research On Temperature Control System Of Cement Rotary Kiln Based On Neural Network PID

Rotary kiln is core equipment of cement, metallurgy, chemical industry production process, including rotary kiln cement production within the parameters of the kiln heat balance control, and is the impact of cement production, quality and energy consumption a key factor. As a result of the production process of cement rotary kilns with a large inertia, time delay, characterized by strong coupling, the traditional PID control difficult to achieve precise control of their process, many companies still rely mainly on-site work experience operators adjust the process parameters. The prevalence of low productivity, low thermal efficiency, high energy consumption, product quality instability issues .Targeted in the operation of the rotary temperature control, paper to design intelligent control of rotary kiln system operating parameters as the target, the rotary speed, movement of materials, fuel combustion, gas flow, such as the impact of rotary furnace temperature and energy consumption a major factor in the study .In the analysis of factors affect the rotary temperature control on the basis of obtained by controlling the amount of coal fed rotary, air rotary and rotary speed can effectively control the temperature; At the same time by adjusting the air supply to control the amount of oxygen in the rotary kiln exhaust gas content, so that coal combustion environment hypoxia full combustion, coal consumption in order to save.Application of Matlab software, the actual production data analysis to identify, based on neural network-based intelligent PID temperature controller. The simulation study showed that compared with traditional PID controller, using the parameters of BP neural network adaptive PID controller, with fast response, small overshoot, the transition time is short, less oscillation, the steady-state performance, and the advantages of strong robustness.Neural network PID controller will be used in cement rotary kiln burning pulverized coal injection system, the use of PLC technology and system configuration software, the design of the rotary kiln coal combustion control system. PLC programming using the PID controller design. Considering the characteristics of cement rotary kiln temperature control and influence the quality of cement production factors, the use of neural network software configuration of the call, the design of a cement rotary kiln operating parameters set the temperature control system control module. Temperature control to achieve real-time data query and statistics, for the implementation of enterprise information management to lay the foundation.Debugging by field experiments indicate that this paper is designed based on neural network-PID temperature control of cement rotary kiln system performance and stability, control accuracy. In ensuring the quality of cement production, under the premise of achieving the purpose of saving energy and reducing consumption.