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金属矿山 ›› 2012, Vol. 41 ›› Issue (08): 118-122.

• 机电与自动化 • 上一篇    下一篇

预磨机模糊控制系统的设计与试验

罗小燕,林和荣   

  1. 江西理工大学机电工程学院
  • 出版日期:2012-08-15 发布日期:2012-08-29

Design and Experimental Study of Pre-mill Fuzzy Control System

Luo Xiaoyan,Lin Herong   

  1. School of Mechanical and Electrical Engineering,Jiangxi University of Science and Technology
  • Online:2012-08-15 Published:2012-08-29

摘要: 针对目前磨矿设备中存在的控制模型相对简单、控制精度低、磨矿工序的效率较差等问题,采用模糊控制算法设计了控制模型。根据模糊控制理论,分别设计了给料及主轴转速的模糊控制器,并采用并行连接方法组成了一个两输入两输出的模糊控制系统。以江西理工大学研制的RM500预磨机为样机的Matlab仿真表明,与常规的PID控制相比,模糊控制明显改善了预磨机的静态和动态性能,并且具有更强的自适应能力和鲁棒性;进一步的实际钨矿石预磨试验表明,在模糊控制系统控制下,预磨机工作电流稳定,产品质量优异。  

关键词: 预磨机, 模糊控制, 多输入多输出设计, 仿真, 预磨试验

Abstract: Against the problems of ore grinding machine, because of the comparatively simplification of control model, low control precision and relatively poor efficiency and quality, a control model for a pre-grinding process is designed by fuzzy controlling algorithm.According to fuzzy control theory, two fuzzy controllers are designed on the basis of corresponding fuzzy rules of the feeding and the spindle speed, and a double-input and double-output fuzzy control system is formed after two fuzzy controllers are connect in parallel.Taking the RM500 pre-mill developed by Jiangxi University of Science and Technology as prototype, the simulation by Matlab shows that the pre-grinding system static and dynamic properties, adaptivity and robustness by fuzzy control are more superior than that of the conventional PID control.The pre-grinding experiment on tungsten ore indicates that working stability and product quality of the pre-mill are evidently improved by using fuzzy control system.

Key words: Pre-mill, Fuzzy control, Multiple input multiple output design, Simulation, Pre-milling experiment