Automatic Control Of The New ETA Cooler

In the cement industry,the grate cooler is the key equipment for cooling high-temperature cement clinker and recovering heat.And the stable operation of the grate cooler has important theoretical significance and social value for the cement industry to improve product quality,reduce production energy consumption and exhaust gas emission.Conducted on the newly introduced cooler equipment in the production site,this research combines intelligent algorithms and practical applications to realize the automatic control of the newly introduced cooler equipment.It ensures the efficient and stable operation of the equipment,improves the production efficiency,reduces the operators’ work intensity,improves the automation level of the production site,and achieves the purpose of energy saving and emission reduction.Based on the excellent results of the traditional grate cooler research,this paper takes the newly introduced new ETA cooler at the production site as the research object,and analyzes the problems encountered in the commissioning operation of the new ETA cooler equipment.It designs the new ETA cooler automatic control scheme through a large amount of historical data analysis,and carries out software development to realize the setting and control of the grate pressure of the cooler to ensure the efficient and stable operation of the equipment.This research mainly focuses on the following aspects:(1)Analysis of the new ETA cooler.This paper conducts in-depth analysis of the differences between the new ETA cooler and the traditional grate cooler,summarizes their similarities and differences,analyzes the control difficulties of the new ETA cooler,and designs the ETA cooler control scheme.(2)Classification of typical working condition of the new ETA cooler.According to the ETA cooler process,the variables related to the working conditions of the cooler are selected;the processed variables are clustered and analyzed by PSO-Kmeans algorithm to realize the typical working condition classification of the cooler;the RF-XGBoost-based working condition recognizer is designed to recognize the typical working conditions,and the recognition accuracy reaches 98.6%.(3)Research on the grate pressure setting system of the new ETA cooler.For the typical working conditions of the cooler,the correlation of variables under the corresponding working conditions is analyzed;the key variables are selected to establish two models,namely the grate pressure prediction model based on EEMD-WOA-DELM and the grate pressure compensation model based on the outlet clinker temperature;the grate pressure setting system is composed of the above two models,and on this basis,the grate pressure setting system outputs the optimal grate pressure setting value under the current working conditions.(4)Research on new ETA cooler grate pressure prediction control.The production site data are collected and the control model of the cooler is obtained through BP neural network identification;the neural network model obtained from the identification is used as the prediction model for predictive control,and the predictive controller is designed to stabilize the cooler grate pressure around the optimal setting value.The simulation results show that the controller designed in this paper has high control accuracy and robustness.(5)Development of new ETA cooler automatic control system.Based on the previous research,this paper also develops the automatic control software of the cooling machine.With the modular design idea,the software mainly contains the modules of user login,data acquisition and storage,working condition identification,grate pressure setting,prediction control module,etc.The communication cooperation among these modules can realize the automatic control of the cooling machine.