Parameter estimation for DC-DC converter based on MRAS under transient state

被引：0

作者：

Lü D. ^{[1
]}

Xiong C. ^{[1
]}

Zhang S. ^{[1
]}

Tong Q. ^{[1
]}

机构：

[1] School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2017年 / 45卷 / 04期

关键词：

DC-DC converter; Model reference adaptive system; On-line identification; Popov hyperstability theory; Transient condition;

D O I：

10.13245/j.hust.170418

中图分类号：

学科分类号：

摘要：

To solve the problem when the values of inductance and capacitance are often drifting in practice, an on-line parameter estimation algorithm was proposed based on advanced model reference adaptive system (MRAS) under transient condition to simultaneously identify the parameter of inductance and capacitance. Firstly, the on-line estimation structure based on MRAS was introduced, and then an on-line estimation algorithm suitable for Boost circuit was put forward according to its state equation. The stability of the estimation system was proved by applying Popov hyperstability theory. Finally, the parameter estimation algorithm based on MRAS was validated by simulation. The simulation results show that by using the on-line estimation algorithm based on MRAS, the identification error of capacitor can be limited within 0.1%, and the identification error of inductor can be limited within 0.2%. © 2017, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.

引用

页码：97 / 101

页数：4

共 14 条

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