A LC Parameter Identification Method for Boost Converter Based on Modified Hybrid System Model

被引：0

作者：

Ren L. ^{[1
]}

Gong C. ^{[1
]}

机构：

[1] College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, 211106, Jiangsu Province

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2018年 / 38卷 / 22期

基金：

中国国家自然科学基金;

关键词：

Boost converter; Feature parameter extraction; Hybrid model; Model modification; Parameter identification; Prognostics and health management (PHM);

D O I：

10.13334/j.0258-8013.pcsee.170746

中图分类号：

学科分类号：

摘要：

The prognostics and health management (PHM) is of great significance to enhance the system reliability and improve the system maintainability. The wide use of power electronic equipment is now making the PHM technology for power electronics in urgent need. LC parameter identification method based on hybrid system model is an advanced implementation means due to its noninvasive way. However, the existing hybrid model is not fit for boost-derived converters for its ignorance of the suddenly-change in the diode current caused by switching actions. To solve this problem, a correction term was introduced to modify the existing model. In order to verify the modified model, a parameter identification method based on wavelet transform denoising and recursive least squares arithmetic was proposed. The proposed method was analyzed by simulation on Matlab/Simulink and validated by experimentation. The results show that the parameter identification accuracy is over 95%, which verifies the effectiveness of the modified model. © 2018 Chin. Soc. for Elec. Eng.

引用

页码：6647 / 6654

页数：7

共 22 条

[1]

Vichare N.M., Pecht M.G., Prognostics and health management of electronics, IEEE Transaction on Components and Packaging Technologies, 20, 1, pp. 222-229, (2006)

[2]

Sun B., Kang R., Xie J., Research and application of the prognostic and health management system, Systems Engineering and Electronics, 29, 10, pp. 1762-1767, (2007)

[3]

Ren L., Wei Z., Gong C., Et al., Fault feature extraction techniques for power devices in power electronic converters: A review, Proceedings of the CSEE, 35, 12, pp. 3089-3101, (2015)

[4]

Yang S., Xiang D., Bryant A., Et al., Condition monitoring for device reliability in power electronic converters: A review, IEEE Transactions on Power Electronics, 25, 11, pp. 2734-2752, (2010)

[5]

Perisse F., Venet P., Rojat G., Et al., Simple model of electrolytic capacitor taking into account the temperature and aging time, Electrical Engineering, 88, 2, pp. 89-95, (2006)

[6]

Amaral A.M.R., Cardoso A.J.M., Using a sinosoidal PWM to estimate the ESR of aluminum electrolytic capacitors, Power Engineering, Energy and Electrical Drives, pp. 691-696, (2009)

[7]

Amaral A.M.R., Cardoso A.J.M., Using newton-raphson method to estimate the condition of aluminum electrolytic capacitors, International Symposium on Industrial Electronics, pp. 827-832, (2007)

[8]

Sun F., Wang Y., Cui J., Et al., Research on failure prediction method of electrolytic capacitor used in power conversion circuit, Journal of Electronic Measurement and Instrument, 24, 1, pp. 29-33, (2010)

[9]

Vogelsberger M.A., Wiesinger T., Ertl H., Life-cycle monitoring and voltage-managing unit for DC-link electrolytic capacitors in PWM converters, IEEE Transactions on Power Electronics, 26, 2, pp. 493-503, (2011)

[10]

Imam A.M., Divan D.M., Harley R.G., Et al., Real-time condition monitoring of the electrolytic capacitors for power electronics applications, IEEE International Applied Power Electronics Conference, pp. 1057-1061, (2007)

← 1 2 3 →