Energy Control Algorithm for Communication Power Supply Based on Variable Domain Fuzzy Neural PI in Complex Environments
CLLLC resonant converter is widely used in the field of communication power supply due to its high-power density and high symmetry.However,CLLLC resonant converter is a non-minimum phase system,in order to solve the problems of CLLLC resonant converter system under the control of traditional PI,slow steady-state response speed and weak anti-interference ability,this paper designs a variable domain fuzzy neural PI control algorithm in the form of a combination of BP neural network control algorithm and variable domain fuzzy control algorithm.The BP neural network training process is integrated into the fuzzy PI control algorithm,and the membership function of the fuzzy rule is optimized,and the design of the fuzzy neural PI control algorithm is realized by combining the idea of variable theory domain,which improves the anti-disturbance performance of the CLLLC resonant converter system and improves the reliability of system power transmission in complex environments.Simulation experiments were carried out with the help of MATLAB/Simulink simulation platform,and the results proved the correctness of the algorithm design.
万方数据
维普
