基于可变遗忘因子RLS的Boost转换器在线多参数辨识

陈晨; 程帅; 陶诗飞; 童乔凌

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基于可变遗忘因子RLS的Boost转换器在线多参数辨识

更新时间：2026-09-04

- 基于可变遗忘因子RLS的Boost转换器在线多参数辨识
- Variable Forgetting Factor RLS Based Online Multiparameter Identification for Boost Converter
- 微电子学与计算机 2017年34卷第10期页码：42-46
- 作者机构：
  
  1. 华中科技大学光学与电子信息学院,湖北,武汉,430074
  2. 矽力杰半导体技术(杭州)有限公司,江苏,南京,210000
  3. 武汉船用机械有限责任公司,湖北,武汉,430074
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目 61202469国家自然科学基金项目 61640311
- DOI：
  中图分类号：
- 纸质出版：2017
- 稿件说明：
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陈晨, 程帅, 陶诗飞, 童乔凌. 基于可变遗忘因子RLS的Boost转换器在线多参数辨识[J]. 微电子学与计算机, 2017, 34(10): 42-46.

CHEN Chen, CHENG Shuai, TAO Shi-fei, et al. Variable Forgetting Factor RLS Based Online Multiparameter Identification for Boost Converter[J]. 2017, 34(10): 42-46.
陈晨, 程帅, 陶诗飞, 童乔凌. 基于可变遗忘因子RLS的Boost转换器在线多参数辨识[J]. 微电子学与计算机, 2017, 34(10): 42-46. DOI：

CHEN Chen, CHENG Shuai, TAO Shi-fei, et al. Variable Forgetting Factor RLS Based Online Multiparameter Identification for Boost Converter[J]. 2017, 34(10): 42-46. DOI：

摘要

针对Boost转换器控制性能受电感和电容变化影响的问题

提出了一种基于可变遗忘因子递推最小二乘法(recursive least squares method

RLS)的在线多参数辨识算法.考虑电感电流纹波

推导了精确的电感和电容辨识模型.在此基础上

研究了RLS算法中遗忘因子动态取值问题.通过在算法的误差信号中恢复系统噪声的方法

动态计算遗忘因子的取值

解决了传统RLS算法难以兼顾稳态精度和参数跟踪能力的问题.仿真结果表明

该算法可以在动态条件下

精确且快速地跟踪电感和电容值的变化

且具有良好的鲁棒性.

Abstract

Aiming at the issue that the control performance of Boost converter is affected by inductance and capacitance variations

this paper proposed a variable forgetting factor RLS based online multiparameter identification algorithm. Considering the inductor current ripple

an accurate inductance and capacitance identification model was derived. On this basis

the dynamic value of forgetting factor in RLS algorithm was studied. By recovering system noises in the error signal of the algorithm

the value of forgetting factor was dynamically calculated

which solves the problem that the traditional RLS algorithm cannot balance steady-state accuracy and parameters tracking ability. The simulation results show that the algorithm can track the variations of inductance and capacitance accurately and quickly under dynamic condition

and has good robustness.

关键词

Keywords

references

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

Tong Q L, Chen C, Zhang Q, et al, A sensorless predictive current controlled boost converter by using an EKF with load variation effect elimination function[J]. Sensors, 2015, 15(5): 9986-10003. DOI: 9986

Gensior A, Weber J, Rudolph J, et al. Algebraic parameter identification and asymptotic estimation of the load of a boost converter[J]. IEEE Trans Ind Electron, 2008, 55(9): 3352 -3360. DOI: 3352

Buiatti G, Amaral A, Cardoso A, An online technique for estimating the parameters of passive components in non-isolated DC/DC converters[C]//Proc. IEEE Int. Symp. Ind. Electron. [s. l. ]. 2007: 606-610.

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

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): 1644-1642. DOI: 1644

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

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

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

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

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