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提出一种二维模糊智能控制器的算法，辅以基于规则的自学习环节，对具有诸多不确定因素、非线性、时变、难以建立精确数学模型的磨矿系统的溢流浓度进行控制．建造工艺专家系统，借助工业局域网络，综合不同性质的原矿石的要求和工艺专家知识，优化控制系统的给定参数．整个控制系统有较好的鲁棒性和稳定性，经过检测实际生产性能指标，溢流浓度的稳态误差不超过２－０ ％ ，且入磨矿石处理量提高了５－７ ％ ．
A two-dimensional fuzzy intelligent controller algorithm is proposed, which is supplemented by a rule-based self-learning link, which controls the overflow concentration of a grinding system with many uncertainties, nonlinearities, time-varying and difficult to establish an accurate mathematical model. Build a process expert system to optimize given parameters of the control system with industrial LANs, integrating the requirements of raw ore of different qualities and process expert knowledge. The whole control system has better robustness and stability. After testing the actual production performance indexes, the steady-state error of overflow concentration does not exceed 2-0%, and the processing capacity of ore grinding increases 5-7%.