基于Expert-PID算法的矿山球磨机物联网控制系统的设计

Design of Internet of Things Control System of Mine Ball Mill Based on Expert-PID Algorithm

摘要:

针对矿山球磨机采用手动控制呈现出的工人劳动强度大、易受主观因素缺点，或者采用传统PID控制矿浆浓度中出现的稳定性差、波动大、精度低等落后状况，提出设计开发基于Expert-PID算法的矿山球磨机物联网控制系统。文中首先构建了一个五元组的球磨机的模型BallMill=，设计出包含感知层、汇聚层、操作层、应用层等四层物联网测控系统宏观结构，进而介绍了传统PID算法与Expert-PID算法详细内容，重点论述了矿山球磨机Expert-PID算法物联网控制系统的原理结构与专家调控规则。通过企业应用实践与对比实验表明，该系统采用Expert-PID算法比传统的PID算法具备更好的鲁棒性、稳定性与可靠性。

Abstract:

Aiming at the shortcomings of manual control of mine ball mills, such as high labor intensity and subjective factors, or poor stability, large fluctuations, and low accuracy in the traditional PID control of slurry concentration, the design and development based on the Expert-PID algorithm are proposed. The Internet of Things control system for mine ball mills. The article first constructed a five-tuple ball mill model BallMill=, designed a four-layer IoT measurement and control system macro structure including the perception layer, the convergence layer, the operation layer, and the application layer, and then introduced The detailed contents of traditional PID algorithm and Expert-PID algorithm are discussed, and the principle structure and expert regulation rules of the mine ball mill Expert-PID algorithm IoT control system are discussed. Enterprise application practice and comparative experiments show that the system adopts Expert-PID algorithm and has better robustness, stability and reliability than traditional PID algorithm.