Research On Optimal Control System Of Grate Cooler Under Typical Operating Conditions

The quality of cement clinker is not only related to the calcination of clinker in the cement production process,but also has a great relationship with the cooling effect of the grate cooler of the clinker cooling equipment.At present,the domestic cement enterprises mainly control the grate coolers by semi-automatic control and traditional PID control,the control effect is not good,often need manual intervention;Most of the grate pressure setting values of the grate coolers are set manually by the operators,which are greatly influenced by the operators subjectively;Moreover,due to the complexity of the working conditions in the grate cooler,the artificially set value of grate pressure often cannot meet the requirements of maintaining optimal operation of the grate cooler under different working conditions.For this,this article from the research status of grate cooler optimization setting,which is based on major scientific and technological innovation projects of shandong province,combination of clinker cooling process and site operation personnel operation experience,based on a large number of historical data analysis,give grate cooler optimization control scheme based on typical working conditions,to improve the quality of the cement clinker and consumption reducing and energy saving is of great significance.The main research contents of this paper are as follows:(1)Classification and identification of typical working conditions of grate coolers.According to the cement clinker cooling process,variables related to grate coolers’ working conditions were selected,and cluster analysis of variable data affecting grate coolers’ working conditions was carried out by local retention projection method and simulated annealing genetic algorithm combined with fuzzy C-means optimization method,so as to realize the division of typical grate coolers’ working conditions;According to the working condition range of key variables,a typical working condition recognizer is designed.(2)Study on optimal setting of pressure under grate based on typical working conditions.Based on dividing the grate cooler operating conditions,combined with the corresponding conditions of variable data correlation analysis,under different working conditions is established by based on adaptive particle swarm optimization(least squares support vector machine(SVM)pressure under the grate cooler grate of presetting model and based on the feedforward compensation model of secondary air temperature characteristic information of pressure under the grate of optimal setting model,The optimum set value of grate pressure under the current working condition is obtained comprehensively.Considering the matching and switching problem between the set value given frequency and the optimal setting model under different working conditions,the matching and switching between the optimal setting model and working conditions were realized by using the model contribution degree.(3)Study on automatic control of grate pressure.Fuzzy rules are used to realize real-time tuning of PID controller parameters to ensure that the real-time feedback value of grate pressure fluctuates stably with the set value.(4)Research and development of optimized control system software for grate coolers.The software is mainly composed of data acquisition and storage,condition identification,optimization Settings,human-computer interaction and other modules.All modules cooperate and cooperate with each other to realize the related functions of grate cooler optimization control system software under typical working conditions.Finally,The system was applied to a clinker production line in Shandong.It has been proved that the research results in this paper can accurately identify the working conditions of the grate cooler,and automatically give the optimal grate pressure setting value of the grate cooler,thus realizing the optimal operation of the grate cooler system.