Sensorless Voltage Observer for a Current-Fed High Step-Up DC-DC Converter Using Extended Kalman Filter

被引:2
作者
Haadi, Karim [1 ]
Rajaei, Amirhossein [1 ]
Shahparasti, Mahdi [2 ]
Rahideh, Akbar [1 ]
机构
[1] Shiraz Univ Technol, Dept Elect & Elect Engn, Shiraz 7155713876, Iran
[2] Univ Southern Denmark, Elect Engn Sect, Dept Mech & Elect, DK-5230 Odense, Denmark
关键词
high step-up DC-DC converter; sensorless voltage observer; extended Kalman filter; MODEL-PREDICTIVE CONTROL; SPEED CONTROL; EKF; SUPPLIES;
D O I
10.3390/electronics9122066
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In high voltage applications, sensorless voltage control techniques can reduce the cost and increase the reliability of DC-DC converters. In this paper, a sensorless voltage observer for a current fed Cockcroft-Walton voltage multiplier is designed. The first step is to derive the converter model. Since any inaccuracy in the derived model can result in a discrepancy between the observed voltage and the actual output voltage, an accurate model is derived, which incorporates the influential elements. Then, two voltage observers based on the extended Kalman filter (EKF) are designed and used to estimate the output voltage, transformer magnetizing current and inductor current for two different configurations of the high step-up DC-DC converter. Experimental and simulation results of the system show the efficiency of the observers. The proposed observers represent good precision as the main parasitic parameters are considered in the converter model.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 37 条
  • [1] Abushafa O, 2015, 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), P3016, DOI 10.1109/ICIT.2015.7125543
  • [2] Lookup-Table-Based DTC of Induction Machines With Improved Flux Regulation and Extended Kalman Filter State Estimator at Low-Speed Operation
    Alsofyani, Ibrahim Mohd.
    Idris, Nik Rumzi Nik
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 12 (04) : 1412 - 1425
  • [3] Axelrod B., 2003, IEEE T IND ELECTRON, V3, P523
  • [4] A comparison of artificial neural network and extended Kalman filter based sensorless speed estimation
    Aydogmus, Zafer
    Aydogmus, Omur
    [J]. MEASUREMENT, 2015, 63 : 152 - 158
  • [5] Bachouch L, 2019, I C SCI TECH AUTO CO, P388, DOI [10.1109/sta.2019.8717286, 10.1109/STA.2019.8717286]
  • [6] Explicit Model Predictive Control of DC-DC Switched-Mode Power Supplies With Extended Kalman Filtering
    Beccuti, Andrea Giovanni
    Mariethoz, Sebastien
    Cliquennois, Sebastien
    Wang, Shu
    Morari, Manfred
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (06) : 1864 - 1874
  • [7] Bensaid R, 2001, IEEE POWER ELECTRON, P327, DOI 10.1109/PESC.2001.954041
  • [8] Biswas A, 2013, APPL POWER ELECT CO, P2023, DOI 10.1109/APEC.2013.6520573
  • [9] Bulut Y., 2011, Applied Kalman Filter Theory
  • [10] Study of the Estimated Capacitor Voltage by Kalman Filter for a Modular Multi-Level Converter
    Galarza, Jose
    [J]. PROCEEDINGS OF THE 2019 IEEE XXVI INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND COMPUTING (INTERCON), 2019,