重庆大学学报2017，Vol.40Issue(7)：63-71,9.DOI:10.11835/j.issn.1000-582X.2017.07.009
一种改进细菌觅食算法的模糊控制规则库设计
The design of a fuzzy control rule library based on improved bacterial foraging optimization
摘要
Abstract
The establishment of the fuzzy control rule library determines the performance of the fuzzy control system.And in the fields of energy production and robot control,higher and higher controlaccuracy requirements make the establishment method of conventional fuzzy control rule library sometimes no longer applicable.Therefore,we proposed an improved bacterial foraging optimization (IBFO)algorithm on the basis of swarm intelligence algorithm to improve the establishment of rule library.Firstly,the imperfectness of fuzzy rule library based on artificial experience induction was analyzed.Secondly,the improved fuzzy control system was described.Finally,the Gaussian membership function parameters of the improved TSK fuzzy system (C-ATSKFS,constant-ameliorative TSK fuzzy system) rule library were optimized.Compared with the existing method,the improved algorithm can effectively increase the recognition accuracy of the fuzzy control system.MATLAB simulation results show that the proposed novel foraging algorithm has a high practical value for the establishment of fuzzy control rule library.关键词
细菌觅食优化算法/模糊控制规则库/群游操作优化/复制性操作改进/差分进化优化Key words
bacterial foraging optimization/fuzzy control rule library/swarm operation optimization/replicative operational improvements/differential evolution optimization分类
信息技术与安全科学引用本文复制引用
徐驰,冯旭刚,章家岩,李新光,曹月洋..一种改进细菌觅食算法的模糊控制规则库设计[J].重庆大学学报,2017,40(7):63-71,9.基金项目
安徽省教育厅自然科学基金重点资助项目(KJ2015A058),安徽省高校自然科学基金研究资助项目(KJ2013A054).Supported by The Key Project of Natural Science Foundation of Anhui Province Education Department (KJ2015A058) and The Research Project of Natural Science Foundation of Anhui Province Colleges and Universities (KJ2013A054). （KJ2015A058）
