棒磨机给料模糊-专家复合优化决策

Fuzzy-expert Compound Optimal Decision of Rod Mill Feeding

提出了一种采用嵌套式规则的T-S模糊模型,其模型的前件为模糊条件语句,而后件包含了产生式规则。与传统的T-S模糊模型相比,该模型可以减少模糊规则数量,提高模型精度。针对磨矿过程中棒磨机因给料量不合适而时常出现不饱或胀肚,从而影响生产效率这一问题,应用嵌套式规则的T-S模糊模型,提出了一种棒磨机给料模糊-专家复合优化决策方法。仿真结果表明,应用该方法可以使棒磨机给料达到最优值。

A T- S fuzzy model with inserted rules is proposed. The antecedent of the model consists of fuzzy conditional sentences, and the consequent of the model includes productive rules. In comparison with traditional T- S fuzzy model,this model reduces the quantity of fuzzy rules, and improves the model precision. For the problem of a rod mill being hungry or swell caused by improper feeding,which often exists in the grinding process and thus influences the productive efficiency, based on a T- S fuzzy model with inserted rules,a roethod of fuzzy - expert compound optimal decision of rod mill feeding is put forward. Simulation result shows that a rod mill feeding will achieve optimization by use of this method.