基于改进式单神经元自适应PID的Buck变换器控制策略

doi:10.16628/j.cnki.2095-8188.2026.02.006

摘要/Abstract

摘要：

面对分布式能源与并网技术、电动汽车充电桩等应用领域,系统对输出电流的动态性能指标提出了更高的要求。针对某产品要求在输出慢变正弦电流时,需具有良好的动态性能和较高的稳态精度,提出一种改进单神经元自适应比例-积分-微分(ISNA-PID)控制策略,其通过结合单神经元自适应PID(SNA-PID)与专家控制,用以在线自动调整SNA-PID的连接系数。对SNA-PID和ISNA-PID控制策略进行仿真与试验验证,结果表明,基于三相交错并联Buck的电源系统在使用ISNA-PID控制策略时,相比常规PID控制与SNA-PID控制,响应速度分别提升约27%与13%,稳态精度方面分别提升约76%与60%,验证了提出的ISNA-PID控制策略的有效性与优越性。

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

Abstract:

In application fields such as distributed energy resource grid integration and electric vehicle charging stations, there are stringent requirements for the dynamic performance of output current. To meet the requirement of a specific product to achieve both good dynamic performance and high steady-state accuracy when outputting a slow-varying 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 enable online automatic adjustment of the SNA-PID connection weights. Simulation and experimental verification of both the SNA-PID and ISNA-PID control strategies were conducted. The results demonstrate that in a power supply system based on a three-phase interleaved parallel Buck converter, the use of the ISNA-PID control strategy yields significant improvements:the response speed is increased by approximately 27% and 13% compared to conventional PID control and SNA-PID control, respectively, while the steady-state accuracy is improved by approximately 76% and 60%, respectively. These results validate the effectiveness and superiority of the proposed ISNA-PID control strategy.

Key words: three-phase interleaved parallel Buck converter, single neuron, adaptive PID control, expert control

中图分类号:

TM46

张丞昊, 陈息坤. 基于改进式单神经元自适应PID的Buck变换器控制策略[J]. 电器与能效管理技术, 2026, 0(2): 43-49.

ZHANG Chenghao, CHEN Xikun. Buck Converter Control Strategy Based on Improved Single Neuron Adaptive PID[J]. LOW VOLTAGE APPARATUS, 2026, 0(2): 43-49.

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