The sintering process of phosphorite ore occurs with a large amount of return caused by untimely process control. The control task of phosphorite ore sintering is to regulate the parameters of the process to obtain a high quality sinter. The parameter clearly responsible for sinter quality is the temperature in the wind box. Therefore, in order to solve the control task, it is necessary to predict the highest temperature of the charge (also known as the burn through point (BTP)). In this paper, the theory of grey systems is used as a predictive model, which makes it possible to obtain an adequate model that uses a small number of initial samples of real temperature data. Based on the grey model GMC(1,n) a new optimal model is presented, which is constructed by using optimization algorithm. Optimal model predicts the BTP, and to establish an optimal regulation, a control synthesis is carried out through an optimization of the prediction according to the “particle swarm” algorithm.

中文翻译：

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灰色系统理论在磷矿烧结过程中的应用：从建模到控制

磷矿的烧结过程由于不及时的工艺控制而产生大量回报。磷矿烧结的控制任务是调节工艺参数以获得高质量的烧结。明显影响烧结质量的参数是风箱中的温度。因此，为了解决控制任务，必须预测装料的最高温度（也称为烧穿点（BTP））。在本文中，灰色系统的理论用作预测模型，这使得有可能获得使用少量实际温度数据初始样本的适当模型。在灰色模型GMC（1，n）的基础上，提出了一种新的最优模型，并通过优化算法进行了构造。最佳模型可以预测BTP，