提出了基于遗传算法的连续碳酸化分解过程操作模式模糊优化方法。首先建立基于模糊规则和模糊推理的模型,然后以稳态误差为优化目标。应用混合编码的遗传算法同时优化模糊控制隶属度和推理规则,将获得的模糊规则应用于末槽分解率的控制,获得了良好的应用效果。
A fuzzy optimization method based on genetic algorithm for the operational process of continuous carbonation decomposition was proposed. First establishing the control model including fuzzy rules and fuzzy induction, afterwards with the steady state error acting as optimum target, and membership functions and fuzzy reference rules were optimized by a novel genetic algorithms, which had characteristics of hybrid lengthvarying coding scheme. This fuzzy rules were applied to control the resolution ratio of last cell, and results showed that it was practical.