Research On Technology Of Intelligent Control In System Of Second Hothouse Of Porous Ceramic Carrier

The drying of porous ceramics is the essential step in the porous ceramic production. The temperature changing course and the hot working parameter stability in its drying course directly affect the quality of the porous ceramics production. The controlled parameter has the characteristics as timed-changing, non- linear, uncertainty and so on in the temperature control process of the porous ceramic drying system. In order to enhance the track and the antijamming ability of the control system, this article firstly uses one kind of control algorithm which unifies the fuzzy control and the forecast control together in the porous ceramics drying control system. This method effectively overcame the disadvantages as responding slowly, over adjusting markedly, control stability demeritoriously in the original system that use PID control purely.The forecast control is one control method which independently develops in the industry practice process. It uses the control strategy as the forecasted model, and scrolled optimization and the feedback adjusting which can enhance its control effect and robustness. The development of fuzzy control theory makes it possible to mix itself with predictive control. This paper analyzes the temperature, humidity and the pressure control at the basis of expatiation systemically of the porous ceramics drying process. In the course of researching the fuzzy predictive control which base on the T-S fuzzy model, and depend on the characteristics of this drying system, this paper provides the control project in the basis of temperature and humidity and other parameters in the processing of drying system which at the basis of fuzzy logic.For energy saving, the heat for the drying room comes from the heated smoke in a certain temperature which expelled during the working process of porous ceramic shuttle stove. According to the analysis of influencing parameter for the indoor temperature, this thesis designs a multiplicative feed-forward and feedback temperature control system based on fuzzy logic. It makes up of the series-wound loop by taking the indoor temperature as the major controlled parameter and the mixed wind temperature as deputy parameter. In this system, we obtain the control amount of the series-wound control loop which adopting the fuzzy predictive controller at the basis of T-S fuzzy model. The feed-forward control from the transducer which control the humidity multiplies the control amount of the main loop, and then form the multiplied feed-forward and feedback control to realize the track automatically of the indoor temperature and humidity. At the same time, this system introduces the nonlinear track-differentiator to enhance the ability of anti-jamming in the control configuration.Through MATLAB simulation and experiment in laboratory, it indicates the method of T-S fuzzy model predictive control applying to drying system has good controlling effect, which is a kind of the control tactics being able to come true. And it has past the demonstration of company. This system has certain practical value to other intelligent control of porous ceramics drying system.