EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 469 (2023) E3S Web of Conf., 469 (2023) 00062 References
Open Access
Issue
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
Article Number 00062
Number of page(s) 10
DOI https://doi.org/10.1051/e3sconf/202346900062
Published online 20 December 2023
  1. K. Zhou, M. Ai, D. Sun, N. Jin, et X. Wu, « Field Weakening Operation Control Strategies of PMSM Based on Feedback Linearization », Energies, vol. 12, no 23, p. 4526, nov. 2019, doi: 10.3390/en12234526. [CrossRef] [Google Scholar]
  2. M. A. Hamida, J. de Leon, et A. Glumineau, « Experimental sensorless control for IPMSM by using integral backstepping strategy and adaptive high gain observer », Control Eng. Pract., vol. 59, p. 64‑76, févr. 2017, doi: 10.1016/j.conengprac.2016.11.012. [CrossRef] [Google Scholar]
  3. A. Senhaji, M. Abdelouhab, A. Attar, et J. Bouchnaif, « Backstepping control of a permanent magnet synchronous motor », Mater. Today Proc., vol. 72, p. 3730‑3737, 2023, doi: 10.1016/j.matpr.2022.09.248. [CrossRef] [Google Scholar]
  4. S. Rebouh, A. Kaddouri, R. Abdessemed, et A. Haddoun, « Nonlinear Control by Input-Output Linearization Scheme for EV Permanent Magnet Synchronous Motor », in 2007 IEEE Vehicle Power and Propulsion Conference, Arlington, TX, USA: IEEE, sept. 2007, p. 185‑190. doi: 10.1109/VPPC.2007.4544122. [Google Scholar]
  5. W. Gu, X. Zhu, L. Quan, et Y. Du, « Design and Optimization of Permanent Magnet Brushless Machines for Electric Vehicle Applications », Energies, vol. 8, no 12, p. 13996‑14008, déc. 2015, doi: 10.3390/en81212410. [CrossRef] [Google Scholar]
  6. P. Jayal, S. Rawat, et G. Bhuvaneswari, « Simplified Sensor Based Vector Control of Permanent Magnet Synchronous Motor Drive », in 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), Cochin, India: IEEE, janv. 2020, p. 1‑6. doi: 10.1109/PESGRE45664.2020.9070639. [Google Scholar]
  7. Kaddouri, Akhrif, Hoang Le-Huy, et Ghribi, « Nonlinear feedback control of a permanent magnet synchronous motors », in Proceedings of Canadian Conference on Electrical and Computer Engineering CCECE-94, Halifax, NS, Canada: IEEE, 1994, p. 77‑80 vol.1. doi: 10.1109/CCECE.1994.405657. [Google Scholar]
  8. M. Karabacak et H. I. Eskikurt, « Speed and current regulation of a permanent magnet synchronous motor via nonlinear and adaptive backstepping control », Math. Comput. Model., vol. 53, no 9‑10, p. 2015‑2030, mai 2011, doi: 10.1016/j.mcm.2011.01.039. [Google Scholar]
  9. Z. Wu, Y. Shen, T. Pan, et Z. Ji, « Feedback linearization control of PMSM based on differential geometry theory », in 2010 5th IEEE Conference on Industrial Electronics and Applications, Taichung, Taiwan: IEEE, juin 2010, p. 2047‑2051. doi: 10.1109/ICIEA.2010.5515457. [Google Scholar]
  10. Z. Meng, C. Sun, Y. An, et J. Cao, « Non-Interacting Control of PMSM Based on Exact Linearization Via State Variable Feedback », in 2009 International Workshop on Intelligent Systems and Applications, Wuhan, China: IEEE, mai 2009, p. 1‑4. doi: 10.1109/IWISA.2009.5072974. [Google Scholar]
  11. S. Xiao-jing, « Design and Simulation of PMSM Feedback Linearization Control System », TELKOMNIKA Indones. J. Electr. Eng., vol. 11, no 3, p. 1245‑1250, mars 2013, doi: 10.11591/telkomnika.v11i3.2192. [Google Scholar]
  12. C. Liu et J. Zhai, « Global adaptive event-triggered output feedback controller design for high-order nonlinear systems », J. Frankl. Inst., vol. 360, no 3, p. 1540‑1559, févr. 2023, doi: 10.1016/j.jfranklin.2022.12.026. [CrossRef] [Google Scholar]
  13. M. Morawiec, « The Adaptive Backstepping Control of Permanent Magnet Synchronous Motor Supplied by Current Source Inverter », IEEE Trans. Ind. Inform., vol. 9, no 2, p. 1047‑1055, mai 2013, doi: 10.1109/TII.2012.2223478. [CrossRef] [Google Scholar]
  14. M. Karabacak et H. I. Eskikurt, « Design, modelling and simulation of a new nonlinear and full adaptive backstepping speed tracking controller for uncertain PMSM », Appl. Math. Model., vol. 36, no 11, p. 5199‑5213, nov. 2012, doi: 10.1016/j.apm.2011.12.048. [CrossRef] [Google Scholar]
  15. J. Zhou et Y. Wang, « Adaptive backstepping speed controller design for a permanent magnet synchronous motor », IEE Proc. - Electr. Power Appl., vol. 149, no 2, p. 165, 2002, doi: 10.1049/ip-epa:20020187. [CrossRef] [Google Scholar]
  16. X. Sun, H. Yu, J. Yu, et X. Liu, « Design and implementation of a novel adaptive backstepping control scheme for a PMSM with unknown load torque », IET Electr. Power Appl., vol. 13, no 4, p. 445‑455, avr. 2019, doi: 10.1049/iet-epa.2018.5656. [CrossRef] [Google Scholar]
  17. M. Ezzat, A. Glumineau, et F. Plestan, « Sensorless high order sliding mode control of permanent magnet synchronous motor », in 2010 11th International Workshop on Variable Structure Systems (VSS), Mexico City, Mexico: IEEE, juin 2010, p. 233‑238. doi: 10.1109/VSS.2010.5544687. [Google Scholar]
  18. A. Hezzi, Y. Bensalem, S. Ben Elghali, et M. Naceur Abdelkrim, « Sliding Mode Observer based sensorless control of five phase PMSM in electric vehicle », in 2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Sousse, Tunisia: IEEE, mars 2019, p. 530‑535. doi: 10.1109/STA.2019.8717290. [Google Scholar]
  19. A. Ammar, A. Bourek, et A. Benakcha, « Nonlinear SVM-DTC for induction motor drive using input-output feedback linearization and high order sliding mode control », ISA Trans., vol. 67, p. 428‑442, mars 2017, doi: 10.1016/j.isatra.2017.01.010. [CrossRef] [Google Scholar]
  20. B. Ning, S. Cheng, et Y. Qin, « Direct torque control of PMSM using sliding mode backstepping control with extended state observer », J. Vib. Control, vol. 24, no 4, p. 694‑707, févr. 2018, doi: 10.1177/1077546316650097. [CrossRef] [Google Scholar]
  21. F. Deng et Y. Guan, « PMSM Vector Control Based on Improved ADRC », in 2018 IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE), Lanzhou: IEEE, août 2018, p. 154‑158. doi: 10.1109/IRCE.2018.8492927. [Google Scholar]
  22. G. Su, « Fuzzy ADRC Controller Design for PMSM Speed Regulation System », Adv. Mater. Res., vol. 201‑203, p. 2405‑2408, févr. 2011, doi: 10.4028/www.scientific.net/AMR.201-203.2405. [CrossRef] [Google Scholar]
  23. S. Zhou, Y. Li, et S. Tong, « Finite-time adaptive neural network event-triggered output feedback control for PMSMs », Neurocomputing, vol. 533, p. 10‑21, mai 2023, doi: 10.1016/j.neucom.2023.02.039. [CrossRef] [Google Scholar]
  24. Y. Dai, S. Ni, D. Xu, L. Zhang, et X.-G. Yan, « Disturbance-observer based prescribed-performance fuzzy sliding mode control for PMSM in electric vehicles », Eng. Appl. Artif. Intell., vol. 104, p. 104361, sept. 2021, doi: 10.1016/j.engappai.2021.104361. [CrossRef] [Google Scholar]
  25. L. Wang, H. Zhang, et X. Liu, « SLIDING MODE VARIABLE STRUCTURE I/O FEEDBACK LINEARIZATION DESIGN FOR THE SPEED CONTROL OF PMSM WITH LOAD TORQUE OBSERVER », p. 12. [Google Scholar]
  26. J. Zhang, Z. Meng, R. Chen, C. Sun, et Y. An, « Decoupling control of PMSM based on exact linearization », in Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology, Harbin, Heilongjiang, China: IEEE, août 2011, p. 1458‑1461. doi: 10.1109/EMEIT.2011.6023323. [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.