氧乐果合成反应温度的模糊自学习控制方法

摘要:针对氧乐果合成反应温度控制具有参数时变、时滞后特性而不易控制的问题，提出一种基于遗传算法的模糊自学习控制方法。还提出了改进遗传算法的若干策略。改进的遗传算法仅根据在线获得的信息便能够实现控制器的多个加权因子的快速全局寻优，从而实现模糊控制规则的修正与完善。仿真结果表明，基于遗传算法设计的自学习模糊控制器能适应参数时变、时滞后系统的控制。
关键词合成反应温度模糊控制自学习遗传算法
Abstract To against the problems of the time-varying parameters and time lag characteristic in temperature control for omethoate synthesis process，a kind of self-learning fuzzy controller based on improved genetic algorithm is put forward in this paper.Also some of the strategies for improving genetic algorithm are stated.The improved algorithm can be used to search global optimal weighting factors with fast speed.Thus the fuzzy control rules are perfected and corrected.The simulation results demonstrate that this kind of control method is suitable for systems with time-varying parameters and time lag characteristic.
Keywords Synthesis reaction Temperature Fuzzy control Self-learning Genetic algorithm