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。
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.
出处
《金属矿山》
CAS
北大核心
2012年第8期118-122,共5页
Metal Mine
关键词
预磨机
模糊控制
多输入多输出设计
仿真
预磨试验
Pre-mill
Fuzzy control
Multiple input multiple output design
Simulation
Pre-milling experiment
