基于RLS的Boost转换器在线多参数辨识研究

陈晨; 童乔凌; 闵闰; 吕典

Chinese

您当前的位置：

首页 >

文章列表页 >

基于RLS的Boost转换器在线多参数辨识研究

更新时间：2026-09-04

- 基于RLS的Boost转换器在线多参数辨识研究
- Study of RLS-Based Online Multiparameter Identification for Boost Converter
- 微电子学与计算机 2017年34卷第5期页码：100-103
- 作者机构：
  
  华中科技大学光学与电子信息学院,湖北,武汉,430074
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目 61202469教育部博士点基金 20120142120102
- DOI：
  中图分类号：
- 纸质出版：2017
- 稿件说明：
移动端阅览
陈晨, 童乔凌, 闵闰, 吕典. 基于RLS的Boost转换器在线多参数辨识研究[J]. 微电子学与计算机, 2017, 34(5): 100-103, 109.

CHEN Chen, TONG Qiao-ling, MIN Run, et al. Study of RLS-Based Online Multiparameter Identification for Boost Converter[J]. 2017, 34(5): 100-103.
陈晨, 童乔凌, 闵闰, 吕典. 基于RLS的Boost转换器在线多参数辨识研究[J]. 微电子学与计算机, 2017, 34(5): 100-103, 109. DOI：

CHEN Chen, TONG Qiao-ling, MIN Run, et al. Study of RLS-Based Online Multiparameter Identification for Boost Converter[J]. 2017, 34(5): 100-103. DOI：

摘要

为了消除电感和电容变化对Boost转换器控制性能的影响

提出了一种基于递推最小二乘法(recursive least squares method

RLS)的在线多参数辨识算法.首先介绍了Boost转换器在线多参数辨识系统

通过小幅度改变参考电压为电感和电容在线辨识提供必要的瞬态过程.然后分析了一个开关周期内Boost转换器的电感电压和电容电流特性

推导出精确的电感和电容辨识模型

进一步应用RLS算法

得到电感和电容的最优估计方法.最后对提出的多参数辨识算法进行了仿真验证.仿真结果表明

该算法可以在瞬态条件下

精确快速地估计电感和电容值

且具有良好的鲁棒性.

Abstract

In order to eliminate the effect of inductance and capacitance variations on control performance of boost converter

this paper proposed a RLS based online multiparameter identification algorithm. Firstly

the online multiparameter identification system for boost converter was introduced. By changing the reference voltage with small amplitude

an essential transient for online identification of inductance and capacitance can be obtained. Then the characteristics of inductor voltage and capacitor current in a switching cycle were analyzed and a precise model for inductance and capacitance identification was deduced. Further

by applying RLS

an optimal method for inductance and capacitance estimation was derived. Finally

the validity of the proposed algorithm was demonstrated by simulation. The simulation results show that the algorithm can estimate the inductance and capacitance precisely and rapidly

and has good robustness.

关键词

Keywords

references

Min R, Tong Q L, Zhang Q, et al. Digital sensorless current mode control based on charge balance principle and dual current errors compensation for DC-DC converters in DCM[J]. IEEE Trans Ind Electron, 2016, 63(1): 155-166. DOI: 155

Abdennadher K, Venet P, Rojat G, et al. A real-time predictive-maintenance system of aluminum electrolytic capacitors used in uninterrupted power supplies[J]. IEEE Trans Ind Appl, 2010, 46(4): 1642-1644. DOI: 1642

Yao K, Tang W J, Hu W B, et al. A current-sensorless online ESR and C identification method for output capacitor of buck converter[J]. IEEE Trans Power Electron, 2015, 30(12): 6993-7005. DOI: 6993

Feng G, Meyer E, Liu Y F. A new digital control algorithm to achieve optimal dynamic performance in DC-to-DC converters[J]. IEEE Trans. Power Electron., 2007, 22(4): 1489-1498. DOI: 1489

Zhang Q, Min R, Tong Q L, et al. Sensorless predictive current controller DC-DC converter with a self-correction differential current observer[J]. IEEE Trans Ind Electron, 2014, 61(12): 6747-6757. DOI: 6747

Tong Q L, Zhang Q, Min R, et al. Sensorless predictive peak current control for boost converter using comprehensive compensation strategy[J]. IEEE Trans Ind Electron, 2014, 61(6): 2754-2766. DOI: 2754

Chang Y T, Lai Y S. Online parameter tuning technique for predictive current-mode control operating in boundary conduction mode[J]. IEEE Trans Ind Electron, 2009, 56(8): 3214-3221. DOI: 3214

Jesús L F, Arturo H M, Carlos G R, et al. Robust nonlinear adaptive control of a "boost" converter via algebraic parameter identification[J]. IEEE Trans Ind Electron, 2014, 61(8): 4105-4114. DOI: 4105

陈晨, 童乔凌, 谢文, 等. 基于改进EKF的DC/DC转换器电感电流观测器[J]. 微电子学与计算机, 2014, 31(6): 125-132. DOI: 125

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于可变遗忘因子RLS的Boost转换器在线多参数辨识

AlN/GaN混合缓冲层双异质结p-GaN HEMT直流特性仿真

V型沟槽SiC中子探测器的蒙特卡洛分析

基于MSS-YOLO-MPHands融合架构的装配手部动作识别研究

基于改进RT-DETR的航拍小目标检测算法