Intelligent Optimization Control System In Sintering Segregation Of Cloth

The sintering that aims at providing sinter lump with the appropriate component, certain mechanical strength and reducibility is a key link in the iron and steel smelting process. The sinter lump directly affects the blast furnace production. Further to say, the segregation distribution is the basic requirement of deep-bed sintering and makes an important guarantee to the stability and success of the sintering process. In the segregation distribution process, the mixed materials are sent onto the sintering trolley and prepared for the ignition with certain thickness and segregation. But because of the time delay, system complexity and some problems of parameters’detection, the automation of the segregation distribution is too low and the control effects of the materials’thickness and its segregation are bad.Based on the segregation distribution mechanism analysis, a new optimization control system is present with the comprehensive using of various intelligent control methods. The material’s thickness is optimized based on the genetic algorithm optimization method and stably controlled with the feed forward decoupling strategy. The segregation degree optimization model is established based on the traversing searching algorithm. The main work of this paper is manifested in the following aspects:Firstly, an integration prediction model of sinter bellows negative pressure condition is set up to anticipate the whole sintering condition. Secondly, under the optimal sintering condition, a thickness optimal control model based on the genetic algorithm is built, and then the stability control strategy of the thickness is established based on the mechanism analysis. In detail, the relationship among the thickness, the roller speed and the discharge gate opening is constituted according to the balance principle of the material flow, so that the feed forward compensation decoupling controller for roll speed and discharge gate opening is designed, and then in order to stabilize the materials’thickness, the PID algorithm is used to closely tracking the input. Finally the relationship between segregation degree and nine roller speed is established, and then the segregation degree optimization model is set up based on the traversing searching algorithm to control the nine roller speed.The simulation results prove that the control method is feasible and effective, and combine with the actual control system and production data, the segregation optimization control system is designed and applied based on the sintering experiment platform. The running results show that the system is stable and reliable, meanwhile, the optimization control of the materials’thickness and segregation is satisfactory, and the sintering agglomerate’s quality and quantity is improved.