A Current Sharing State Estimation Method of Redundant Switched-Mode Power Supply Based on LSTM Neural Network
Source abstract
Abstract
Redundant Switched-mode Power supplies (SMPSs) are commonly used to improve electronic systems’ reliability, and accurate estimation of the current sharing state is significant for evaluating the system’s health. Currently, the current sharing state estimation is mainly realized by using current sensors to detect each branch’s current, and the deployment and maintenance costs are high. In this paper, a method for power supply current sharing state estimation based on LSTM recurrent neural network is proposed. By taking advantage of subtle differences in the inherent spectral characteristics of SMPSs, this method only needs to detect the voltage ripple at the switching frequency of the load terminal to estimate the output current of each power supply branch. The verification experiment on the three-power redundant experimental platform shows that the estimation error is less than 10%. The method has the characteristics of simple structure, non-invasion, convenient deployment and maintenance, so it has high application and promotion value.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Battery Technologies Research · Machine Fault Diagnosis Techniques · Power System Reliability and Maintenance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Funding
Research on Hardware Reliability and Remaining Useful Life Prediction of Oil and Gas Pipeline Control System
References (19)
Show source-provided references
1. Fault Tolerant Operation of Parallel-Connected 3L-Neutral-Point Clamped Back-to-Back Converters Serving to Large Hydro-Generating Units10.1109/TIA.2018.2851581 ↗
2. Garrick, M. (2019). Smart Redundancy: Automatic Current Balancing Technology, Phoenix Contact. Available online: https://www.phoenixcontact.com/online/portal/us?1dmy&urile=wcm:path:/usen/web/offcontext/insite_landing_pages/4d321b76-82b4-4ca6-b33a-de9c92d84722/aee0415a-d694-4152-8719-571217da0968/202a9268-837a-47c0-be64-6f695fcea0c7.
3. Binesh, N., and Wu, B. (2011, January 15–18). 5-level parallel current source inverter for high power application with DC current balance control. Proceedings of the 2011 IEEE International Electric Machines Drives Conference (IEMDC), Niagara Falls, ON, Canada.10.1109/IEMDC.2011.5994649 ↗
4. Current-Fed Multilevel Converters: An Overview of Circuit Topologies, Modulation Techniques, and Applications10.1109/TPEL.2016.2585576 ↗
5. Design Considerations for a Low-Voltage High-Current Redundant Parallel Voltage Regulator Module System10.1109/TIE.2010.2049714 ↗
6. Luo, S., Ye, Z., Lin, R.-L., and Lee, F.C. (1999, January 1). A classification and evaluation of paralleling methods for power supply modules. Proceedings of the 30th Annual IEEE Power Electronics Specialists Conference. Record. (Cat. No.99CH36321), Charleston, SC, USA.
7. Digital Autotuning System for Inductor Current Sensing in Voltage Regulation Module Applications10.1109/TPEL.2008.2002062 ↗
8. Giant Magneto Resistive (GMR) Effect Based Current Sensing Technique for Low Voltage/High Current Voltage Regulator Modules10.1109/TPEL.2007.915771 ↗
9. Switching-ripple-based current sharing for paralleled power converters10.1109/81.795839 ↗
10. Hierarchical Control of Parallel AC-DC Converter Interfaces for Hybrid Microgrids10.1109/TSG.2013.2272327 ↗
11. Kohama, T., Takeshita, K., and Tsuji, S. (2015, January 18–22). Simple estimating method for voltage fluctuation in paralleled converter system with optimized on-off control. Proceedings of the 2015 IEEE International Telecommunications Energy Conference (INTELEC), Osaka, Japan.10.1109/INTLEC.2015.7572342 ↗
12. Zhu, G., Wei, H., Iannello, C., and Batarseh, I. (1999, January 25–28). A study of power factor and harmonics in switched-mode power supplies. Proceedings of the IEEE Southeastcon’99. Technology on the Brink of 2000 (Cat. No.99CH36300), Lexington, KY, USA.
13. A Noninvasive Feeder Impedance Estimation Method for Parallel Inverters in Microgrid Based on Load Harmonic Current10.1109/TPEL.2020.3042700 ↗
14. Zhang, Y. (2011). Small-Signal Modeling and Analysis of Parallel-Connected Power Converter Systems for Distributed Energy Resources. [Ph.D. Thesis, University of Miami].
15. Iqbal, M.N., Kütt, L., Asad, B., Vaimann, T., Rassõlkin, A., and Demidova, G.L. (2020). Time Dependency of Current Harmonics for Switch-Mode Power Supplies. Appl. Sci., 10.10.3390/app10217806 ↗
16. Direct Sequence Spread Spectrum-Based PWM Strategy for Harmonic Reduction and Communication10.1109/TPEL.2016.2597005 ↗
17. Collin, A.J., Cresswell, C.E., and Djokic, S.Ž. (2010, January 26–29). Harmonic cancellation of modern switch-mode power supply load. Proceedings of the 14th International Conference on Harmonics and Quality of Power—ICHQP 2010, Bergamo, Italy.10.1109/ICHQP.2010.5625422 ↗
18. Alom, M.Z., Taha, T.M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M.S., Hasan, M., Van Essen, B.C., Awwal, A.A.S., and Asari, V.K. (2019). A State-of-the-Art Survey on Deep Learning Theory and Architectures. Electronics, 8.10.3390/electronics8030292 ↗
19. LSTM: A Search Space Odyssey10.1109/TNNLS.2016.2582924 ↗