基于改进式单神经元自适应PID的Buck变换器控制策略

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关键词：三相交错并联Buck变换器；单神经元；自适应PID控制；专家控制中图分类号：TM46 文献标志码：A 文章编号：2095-8188（2026）02-0043-07DOI：10.16628/j.cnki.2095-8188.2026.02.006

Abstract： In application fields such as distributed energy resource grid integration and electric vehicle charging stations，thereare stringent requirements forthe dynamic performance ofoutput current.To meet therequirementof a specific product to achieve both good dynamicperformance and high steady-state accuracy when outputting a slowvarying sinusoidal current，an Improved Single Neuron Adaptive PID（ISNA-PID）control strategy is proposed.This strategy integrates the Single Neuron Adaptive PID（SNA-PID）with expert control to enableonlineautomatic adjustment of the SNA-PIDconnection weights.Simulationand experimental verificationof both the SNA-PID and ISNA-PID control strategies were conducted.The results demonstrate that in a power supply system based ona threephase interleaved paralelBuck converter，theuseof the ISNA-PIDcontrolstrategy yieldssignificant improvements： the response speed is increased by approximately 27% and 13% compared to conventional PID control and SNAPID control， respectively，while the steady-state accuracy is improved by approximately 76% and 60%， respectively. These results validate the efectiveness and superiority of the proposed ISNA-PID control strategy.

Key words： three-phase interleaved paralel Buck converter；single neuron；adaptive PID control; expert control

0引言

比例-积分-微分（PID）控制作为在工控领域内最早出现且推广的控制策略1，其发展至今在工业控制过程中得到了非常广泛的运用，但其仍然存在局限性。（剩余7690字）