| Cement production in our country at present stage,mainly USES the NSP cement production technology,its key device is the resolver and rotary kiln as the core of the combustion device,complete raw cement calcination to the task of cement clinker.However,due to the backward production control technology,a large amount of energy is consumed in the process of cement production,which produces a lot of harmful gases due to insufficient combustion,and affects the quality of cement production.At present a lot of research results in the control category five preheater and calciner and rotary kiln respectively,can achieve good control effect,but the cement production system is a nonlinear,strong coupling,large lag system,the control method was applied to the same production line,the control effect.Taking jilin honored cement co.,LTD.,shuangyang building materials company of a 2000 t/D cement production line as the research object,analyzes the combustion device characterization by operation parameters of meaning and influence factors,sum up of manual operating and experience,set up the database and knowledge base of expert system.By using the expert system to get the conclusion directly from the complex relationship,all parameters of the combustion device can be controlled uniformly,and the non-linearity and strong coupling of cement production are overcome.People search algorithm was used to optimize the limit machine learning methods,burner temperature prediction model is established,by choosing time by 2 min,the method of the temperature parameters can predict temperature after 2 min,to improve the control effect.In this paper,the soa-elm prediction model and the temperature soa-elm prediction model of the decomposition furnace outlet temperature are set up respectively,and the simulation results have a high prediction accuracy compared with the ELM temperature prediction model.The fuzzy PID control method is adopted to adjust the temperature deviation,and the control effect is better than the traditional PID control by simulation.By this article study the control algorithm is applied to practical production,based on the Visual Studio 2008 as a platform,for c # programming language,based on ADO technology and OPC technology,the development of cement clinker burning device parameter control software,this article studies the control algorithm is used to actually control. |