在水泥生产的工艺流程中，原料配料站是生料入磨前的质量保障环节，配料的好坏将直接导致后续水泥生产的稳定性，并直接影响生料和熟料的产量和质量。然而，在控制生料配料生产的过程中，往往具有滞后、非线性、干扰严重、参数变化大等特征。手动控制或者简单的PID调节器等控制方式难以适应复杂工况，控制效果较差。本文主要针对富平某水泥厂原料配料系统中粘土皮带秤配料系统具体的工艺流程、工作原理进行研究，根据现场实际工况分析，确定影响粘土皮带秤下料不稳定的原因。结合现场使用的传统PID控制器算法及参数整定方法，将粘土皮带秤流量控制的PID调节算法进行改进，设计基于模糊PID参数自整定的配料控制系统方案。通过对模糊控制理论的研究，给出模糊控制结构框图。确定模糊控制器结构，选取高斯型隶属度函数，建立模糊控制查询表，并采用数学分析法对原料配料系统的控制对象进行数学模型分析，在MATLAB仿真环境下对比 PID控制器和模糊PID控制器两种模式，并结合仿真结果可以得出基于模糊控制的PID控制器效果要优于传统PID控制器。本次设计选用天津施耐德有限责任公司推出的质量优良的昆腾系列PLC作为主控制器，原料配料站的上位监控画面使用与昆腾系统PLC通讯的CITECT软件，结合软硬件的分析并搭建主控制器、现场设备、上位机的环网网络拓扑结构。通过对于该系统的研究，将模糊PID控制应用于粘土配料系统，对现场上位监控采集的数据进行分析，表明采用模糊PID控制的粘土配料系统比传统PID控制性能稳定、超调量小、准确性高

In the process of cement production, the raw material batching station is the quality assurance link for raw materials before grinding. The quality of the ingredients will directly lead to the control quality of the subsequent cement production and directly affect the output and quality of raw materials and clinker. However, in the process of controlling the production of raw meal ingredients, it often has the characteristics of lag, nonlinearity, serious interference, and large parameter changes. The control methods such as manual control or simple PID regulator are difficult to adapt to complex working conditions, and the control effect is poor. This article focuses on the specific process flow and working principle of the clay belt scale batching system in the raw material batching system of a cement plant in Fuping. Based on the analysis of the actual working conditions on site, the reasons that affect the instability of the clay belt scale cutting are determined. Combined with the traditional PID controller algorithm and parameter setting method used on site, the PID adjustment algorithm for the flow control of the clay belt scale was improved, and a batching control system scheme based on fuzzy PID parameter self-tuning was designed. Through the research of fuzzy control theory, the block diagram of fuzzy control structure is given. Determine the structure of the fuzzy controller, select a Gaussian membership function, establish a fuzzy control lookup table, and use mathematical analysis to analyze the mathematical model of the control object of the raw material batching system. Compare the PID controller and the fuzzy PID controller in the MATLAB simulation environment Two modes, combined with the simulation results, can be concluded that the effect of PID controller based on fuzzy control is better than traditional PID controller. In this design, the high-quality Quantum series PLC launched by Tianjin Schneider Co., Ltd. is used as the main controller. The upper monitoring screen of the raw material batching station uses CITECT software that communicates with the Quantum system PLC. The topological structure of the ring network of devices, field devices, and host computers. Through the study of this system, fuzzy PID control is applied to the clay batching system. The analysis of the data collected by the field monitoring shows that the fuzzy PID control of the clay batching system is more stable, smaller, and more accurate than the traditional PID control.