电气传动2023，Vol.53Issue(12)：55-61,7.DOI:10.19457/j.1001-2095.dqcd24944
基于模糊控制理论集的自适应数据融合与修正研究
Research on Adaptive Data Fusion and Correction Based on Fuzzy Control Theory Set
摘要
Abstract
The reliability and stability of electric energy transmission in the power grid are the guarantee of driving safety,due to the impact of external interference fluctuations and current arcs on the power grid structure,its parameter acquisition and dynamic modeling become difficult.Firstly,the characteristics of grid structure distortion and model structure changes were analyzed,fuzzy control based on theory sets was used to analyze the characteristics of dynamic electric energy transmission in power systems.Secondly,data fusion was performed for multivariate models of sampled currents,combined with adaptive control strategies to online correct error overshoot and suppress fluctuations,and to seek fuzzy control constraints to maintain the stability of its local minimum error mean square value.Finally,a Simulink fuzzy simulation model was established through experimental parameters to verify that adaptive data fusion technology can effectively correct errors and fluctuations,ensure good driving power transmission.关键词
电网系统/模糊控制理论集/自适应控制/数据融合Key words
power grid system/fuzzy control theory set/adaptive control/data fusion分类
通用工业技术引用本文复制引用
欧志新,李继侠,邓春兰..基于模糊控制理论集的自适应数据融合与修正研究[J].电气传动,2023,53(12):55-61,7.基金项目
2022年高校学科(专业)拔尖人才学术资助项目(GXBJZD2022150) （专业）
2022年安徽省高校自然科学研究重点项目(2022AH052447) （2022AH052447）
