磨机负荷专家控制系统设计及仿真研究  

Mill Load Expert Control System Design and Simulation Research

作　　者：贺晓巧 王建民[1] 赵晔[1] 

机构地区：[1]河北联合大学电气工程学院,河北唐山063000

出　　处：《计算机测量与控制》2015年第1期120-122,156,共4页Computer Measurement &Control

摘　　要：磨矿过程的大滞后和时变性等特点,致使对磨机负荷的最佳工作点很难进行稳定、高效的控制,针对以上情况,借鉴生物界的免疫反馈原理和遗传算法,利用模糊控制可以有效地实现对非线性、纯滞后、复杂的对象进行控制的优点,并结合PID与自寻优方法,设计出磨机负荷专家控制系统,用VB编写OPC客户端及控制程序,实现对磨机负荷的动态优化控制;试验结果表明,文章提出的控制策略能够增强系统的稳定性,且在干扰存在的情况下也能很好的跟随系统的参数变化,在提高磨机台时产量的同时增加了矿厂的经济效益。The characteristics of big lag and time-varying in grinding process make it hard to stably and efficiently control for the best working point of mill load,in view of the above situation,learn from the immune feedback principle of biological and genetic algorithm,using the advantages of fuzzy control can effectively achieve control effect to the nonlinear,time delay,and complex object,combined with PID and self-optimizing method to design mill load expert control system,using VB to write OPC client and the control program to realize the dynamic optimization control of the mill load.Test results show that the proposed control strategy can enhance the stability of the system,and can also follow the parameters changes of the system well in the presence of interference,and increase the yield of the mill as the same time as improving the economic efficiency of the mines.

关 键 词：专家控制 模糊免疫 遗传算法 变步长自寻优 磨机负荷 OPC 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]