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Research on Adaptive Data Fusion and Correction Based on Fuzzy Control Theory Set

Release date:2023-12-19  Number of views:171   Amount of downloads:230   DOI:10.19457/j.1001-2095.dqcd24944

      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.


      Key words: power grid system;fuzzy control theory set;adaptive control;data fusion




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