Intelligence-Based Temperature Switching Control for Cement Raw Meal Calcination Process

In cement raw meal calcination process, it is very difficult to guarantee the calciner temperature be controlled within its targeted range and the outlet temperature of preheater C5 (i.e., the no. 5 preheater) be less than the maximum value, because of varying boundary conditions and the flow of raw meal. Conventional control could often lead to operational failure, such as C5 feeding tube clogged. To solve this problem, an intelligence-based temperature switching control strategy has been proposed. The control strategy consists of a fuzzy controller based on T-S, an abnormal condition controller, and a switching mechanism based on rule reasoning with a feedforward compensation. Practical application to a raw meal calcination process has shown that this control strategy can ensure that the calciner temperature is within its targeted range and the outlet temperature of the preheater C5 is less than the maximum value, even when the boundary conditions vary frequently. Moreover, it has been observed that the proposed control strategy can avoid the faulty operating condition and effectively increase the decomposition ratio of the raw meal.