摘要
模糊控制中的模糊推理规则和隶属函数的选取往往依据相关专家或技术人员的实际经验,对具有较强的非线性系统和未知动态环境条件下,其控制性能往往达不到很好的效果。使用遗传算法同时对隶属函数和模糊规则进行优化,从而使模糊推理规则和隶属函数的确定摆脱了人为经验的局限,提高了模糊控制的自适应能力。在此基础上设计出模糊控制器,并将其应用于污水处理溶解氧的控制中。实验结果表明,该控制器能够使溶解氧快速、准确地达到期望的要求。
The selection of inferential rules of the fuzzy controllers and membership functions depend mainly on the subjective experience of experts, which does not work well in the cases of great disturbances and unknowns. The membership functions and inferential rules are optimized simultaneously by the genetic algorithm, so that the determination got rid of the artificial experience limitation to improve the rules and membership functions. Based on that a fuzzy controller is designed for the wastewater treatment. The simulated results demonstrate the effectiveness and feasibility of the proposed method.
出处
《控制工程》
CSCD
北大核心
2009年第1期46-48,共3页
Control Engineering of China
基金
国家自然科学基金资助项目(60304012)
北京市科技新星计划基金资助项目(H02-821210120)
关键词
模糊控制
遗传算法
优化
污水处理
fuzzy logic controller
genetic algorithm（GA）
optimization
wastewater treatment
