EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 43 / No 2 (April 2025) JNWPU, 43 2 (2025) 326-337 References
Open Access
Issue
JNWPU
Volume 43, Number 2, April 2025
Page(s) 326 - 337
DOI https://doi.org/10.1051/jnwpu/20254320326
Published online 04 June 2025
  1. LI Xiangke, DONG Chaoyu, ZHAO Xin, et al. Large-signal stability control strategy of portable vehicle-mounted high-gain DC-DC converter: backstepping technique based on disturbance observer[J]. Proceedings of the CSEE, 2023, 43(7): 2790–2802 (in Chinese) [Google Scholar]
  2. ZHANG Zhuoran, XU Yanwu, YAO Yiming, et al. Power system and key technologies of more electric aircraft[J]. Journal of Nanjing University of Aeronautics and Astronautics, 2022, 54(5): 969–984 (in Chinese) [Google Scholar]
  3. LIU Yongzhi, NIE Kai, YU Jinlu, et al. Small-signal stability analysis of 270 V high-voltage DC power system for more electric aircraft[J]. Journal of Air Force Engineering University, 2021, 22(4): 35–40. [Article] (in Chinese) [Google Scholar]
  4. SONG Qingchao, CHEN Jiawei, CAI Kuncheng, et al. High-reliability dynamic power allocation technology for hybrid power supply system of fuel cell-battery-supercapacitor in more electric aircraft[J]. Transactions of China Electrotechnical Society, 2022, 37(2): 445–458 (in Chinese) [Google Scholar]
  5. WEI Li, WANG Huizhen, YAN Yangguang, et al. Development trend and research status of aircraft starter/generator system[J]. Aeronautical Science and Technology, 2010(5): 28–32. [Article] (in Chinese) [Google Scholar]
  6. SUN Yu. Research on electrical load characteristics of more electric aircraft[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2017 (in Chinese) [Google Scholar]
  7. LI Yongdong, ZHANG Xuan, XU Lie. Review of stability research on high-voltage DC power supply system for more electric aircraft[J]. Journal of Power Supply, 2017, 15(2): 2–11 (in Chinese) [Google Scholar]
  8. MOU Chengming. Stability analysis of power system in more electric aircraft[D]. Chengdu: University of Electronic Science and Technology of China, 2019 (in Chinese) [Google Scholar]
  9. LI X K, ZHANG X N, JIANG W T, et al. A novel assorted nonlinear stabilizer for DC-DC multilevel boost converter with constant power load in DC microgrid[J]. IEEE Trans on Power Electronics, 2020, 35(10): 11181–11192. [Article] [Google Scholar]
  10. ZENG Guohui, LIAO Hongfei, ZHAO Jinbin, et al. Adaptive control strategy for virtual inertia and damping coefficient of bidirectional DC/DC converter in DC microgrid[J]. Power System Protection and Control, 2022, 50(6): 65–73 (in Chinese) [Google Scholar]
  11. JIANG W, ZHANG X, GUO F, et al. Large-signal stability of interleave boost converter system with constant power load using sliding-mode control[J]. IEEE Trans on Industrial Electronics, 2019, 67(11): 9450–9459 [Google Scholar]
  12. WU Han, JIA Yanbing, HAN Xiaoqing, et al. Control strategy for dual-active-bridge converter based on kalman filter and deep reinforcement learning[J]. High Voltage Engineering, 2024, 50(2): 714–724 (in Chinese) [Google Scholar]
  13. MIDDLEBROOK R D. Input filter consideration in design and application of switching regulators[C]//IEEE Industry Applications Society Annual Meeting, 1976: 366–382 [Google Scholar]
  14. ALI M, KNEBUSCH B, JUENEMANN L, et al. Design and comparison of input filter configurations for SiC-MOSFET-Based automotive DC-AC inverters[C]//2023 25th European Conference on Power Electronics and Applications, 2023: 1–10 [Google Scholar]
  15. WU Leitao, YANG Zhaohua, XU Bugong. The passive control method of DC/DC switching converter[J]. Transactions of China Electrotechnical Society, 2004(4): 66–69. [Article] (in Chinese) [Google Scholar]
  16. WU Mingfei, LU D D C. A novel stabilization method of LC input filter with constant power loads without load performance compromise in DC microgrids[J]. IEEE Trans on Industrial Electronics, 2015, 62(7): 4552–4562. [Article] [Google Scholar]
  17. JI Yu, WANG Dongxu, WU Hongbin, et al. Active damping method to enhance the stability of DC microgrids[J]. Transactions of China Electrotechnical Society, 2018, 33(2): 370–379 (in Chinese) [Google Scholar]
  18. ZHU Xiaorong, MENG Xinxin Stability analysis and research on active damping control of DC microgrids[J]. High Voltage Engineering, 2020, 46(5): 1670–1681 (in Chinese) [Google Scholar]
  19. TENG Changpeng, WANG Yubin, ZHOU Bokai, et al. Large-signal stability analysis of dc microgrids with constant power loads[J].Transactions of China Electrotechnical Society, 2019, 34(5): 973–982 (in Chinese) [Google Scholar]
  20. ZHENG C, DRAGIĈEVIĈ T, ZHANG J, et al. Composite robust quasi-sliding mode control of DC-DC buck converter with constant power loads[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2021, 9(2): 1455–1464. [Article] [Google Scholar]
  21. VAFAMAND N, YOUSEFIZADEH S, KHOOBAN M H, et al. Adaptive TS fuzzy-based MPC for DC microgrids with dynamic CPLS: nonlinear power observer approach[J]. IEEE Systems Journal, 2019, 13(3): 3203–3210. [Article] [Google Scholar]
  22. XU Q, YAN Y, ZHANG C, et al. An offset-free composite model predictive control strategy for DC/DC buck converter feeding constant power loads[J]. IEEE Trans Power Electron, 2020, 35(5): 5331–5342. [Article] [Google Scholar]
  23. YUAN Cong, BAI Hao, MA Rui, et al. Large-signal stability analysis and design of finite-time controller for the electric vehicle DC power system[J]. IEEE Trans on Industry Applications, 2022, 58(1): 868–878. [Article] [Google Scholar]
  24. ZHANG C, YAN Y, WEN C, et al. A nonsmooth composite control design framework for nonlinear systems with mismatched disturbances: algorithms and experimental tests[J]. IEEE Trans on Industrial Electronics, 2018, 65(11): 8828–8839. [Article] [Google Scholar]
  25. SU Yong, CHEN Yanfeng. Nonsingular terminal sliding mode control strategy for energy storage bidirectional DC-DC converter based on nonlinear disturbance observer[J]. Energy Storage Science and Technology, 2024, 13(5): 1523–1531 (in Chinese) [Google Scholar]
  26. ZHAO X D, WANG X Y, ZHANG S, et al. Adaptive neural backstepping control design for a class of nonsmooth nonlinear systems[J]. IEEE Trans on Systems Man Cybernetics-Systems, 2019, 49(9): 1820–1831. [Article] [Google Scholar]
  27. LIU Xiaodong, JIA Chenhui, ZHANG Yu, et al. Reinforcement learning-based backstepping control method for cruise aircraft[C]//Proceedings of the 42nd Chinese Conference, 2023 (in Chinese) [Google Scholar]
  28. ZHANG Zehua, SONG Guiying, ZHANG Xiaolu, et al. Stability and robustness control strategy for DC microgrids considering constant power loads[J]. Transactions of China Electrotechnical Society, 2023, 38(16): 4391–4405 (in Chinese) [Google Scholar]
  29. LU X, SUN K, GUERRERO J M, et al. Stability enhancement based on virtual impedance for DC microgrids with constant power loads[J]. IEEE Trans on Smart Grid, 2015, 6(6): 2770–2783. [Article] [Google Scholar]
  30. CHEN W H. Nonlinear disturbance observer-enhanced dynamic inversion control of missiles[J]. Journal of Guidance, Control, and Dynamics, 2003, 26(1): 161–166. [Article] [Google Scholar]
  31. LI Chuanxu, MENG Xiuyun, WANG Jie. Design of flight vehicle trajectory tracking controller based on disturbance observer[J]. Systems Engineering and Electronics, 2022, 44(8): 2593–2600 (in Chinese) [Google Scholar]
  32. XU Yanwu. Fundamental research on high-voltage DC parallel power supply system for doubly salient electromechanical converter in more electric aircraft[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2023 (in Chinese) [Google Scholar]
  33. CHEN J, SONG Q, YIN S, et al. On the decentralized energy management strategy for the all-electric APU of future more electric aircraft composed of multiple fuel cells and supercapacitors[J]. IEEE Trans on Industrial Electronics, 2019, 67(8): 6183–6194 [Google Scholar]
  34. GAO F. Decentralised control and stability analysis of a multi-generator based electrical power system for more electric aircraft[D]. Nottingham: University of Nottingham, 2016 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.