摘要:針對氧樂果合成反應溫度控制具有參數時變、時滯后特性而不易控制的問題，提出一種基于遺傳算法的模糊自學習控制方法。還提出了改進遺傳算法的若干策略。改進的遺傳算法僅根據在線獲得的信息便能夠實現控制器的多個加權因子的快速全局尋優，從而實現模糊控制規則的修正與完善。仿真結果表明，基于遺傳算法設計的自學習模糊控制器能適應參數時變、時滯后系統的控制。
關鍵詞合成反應溫度模糊控制自學習遺傳算法
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