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Träfflista för sökning "WFRF:(Xia Jinhui) "

Search: WFRF:(Xia Jinhui)

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1.
  • Li, Ze, et al. (author)
  • Modulated-Virtual-Vector-Based Predictive Current Control for Dual Three-Phase PMSM With Enhanced Steady-State Performance
  • 2023
  • In: IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. - : Institute of Electrical and Electronics Engineers (IEEE).
  • Conference paper (peer-reviewed)abstract
    • Dual three-phase permanent magnet synchronous machine (DTP-PMSM) has attracted great attention due to its high reliability and high-power output capacities. However, the conventional single-voltage-vector-based predictive current control (SV-PCC) for DTP-PMSM presents high torque ripple and current harmonics, and high computational burden. To solve those issues, a modulated-virtual-vector-based PCC (MVV-PCC) for DTP-PMSM is proposed in this paper. Wherein, twenty-four VVs are synthesized by the inherent voltage vectors, and two VVs and one zero voltage vector with optimal duty cycles are determined and applied in each sampling period to improve the steady-state performance. The selection of optimal VVs and the calculation of the optimal duty cycles are simplified by integrating the deadbeat control and modulation scheme. Various comparisons are carried out to validate the effectiveness and superiority of the proposed MVV-PCC strategy.
  •  
2.
  • Li, Ze, et al. (author)
  • Multi-Virtual-Vector-Based Predictive Current Control for Fault-Tolerant Inverter-Fed Dual Three-Phase Permanent Magnet Synchronous Machines
  • 2023
  • In: 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. - : Institute of Electrical and Electronics Engineers (IEEE).
  • Conference paper (peer-reviewed)abstract
    • Dual three-phase permanent magnet synchronous machine (DTP-PMSM) has received extensive interests due to its inherent fault-tolerant capability. However, conventional single-virtual-vector-based predictive current control (SVV-PCC) for DTP-PMSM with open-phase fault (OPF) presents poor steady-state performance and high computational burden. To address these issues, a multi-virtual-vector-based PCC (MVV-PCC) for DTP-PMSM with OPF is proposed in this paper. Therein, two virtual vectors and one zero vector with optimal duty cycles are determined in each sampling period to improve the steady-state performance. A simplification strategy for selecting the optimal virtual vectors and calculating the optimal duty cycles is established to reduce the computational burden in digital implementation. Extensive comparisons are conducted to verify the effectiveness of the proposed MVV-PCC scheme.
  •  
3.
  • 2019
  • Journal article (peer-reviewed)
  •  
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  • Result 1-3 of 3
Type of publication
conference paper (2)
journal article (1)
Type of content
peer-reviewed (3)
Author/Editor
Kelly, Daniel (1)
Bengtsson-Palme, Joh ... (1)
Nilsson, Henrik (1)
Kelly, Ryan (1)
Li, Ying (1)
Moore, Matthew D. (1)
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Liu, Fang (1)
Zhang, Yao (1)
Jin, Yi (1)
Raza, Ali (1)
Rafiq, Muhammad (1)
Zhang, Kai (1)
Khatlani, T (1)
Kahan, Thomas (1)
Sörelius, Karl, 1981 ... (1)
Batra, Jyotsna (1)
Roobol, Monique J (1)
Backman, Lars (1)
Yan, Hong (1)
Schmidt, Axel (1)
Lorkowski, Stefan (1)
Thrift, Amanda G. (1)
Zhang, Wei (1)
Hammerschmidt, Sven (1)
Patil, Chandrashekha ... (1)
Wang, Jun (1)
Pollesello, Piero (1)
Conesa, Ana (1)
El-Esawi, Mohamed A. (1)
Zhang, Weijia (1)
Li, Jian (1)
Marinello, Francesco (1)
Frilander, Mikko J. (1)
Wei, Pan (1)
Badie, Christophe (1)
Zhao, Jing (1)
Li, You (1)
Bansal, Abhisheka (1)
Rahman, Proton (1)
Parchi, Piero (1)
Polz, Martin (1)
Ijzerman, Adriaan P. (1)
Subhash, Santhilal, ... (1)
Quinn, Terence J. (1)
Uversky, Vladimir N. (1)
Gemmill, Alison (1)
Zhang, Yi (1)
Meule, Adrian (1)
Vohl, Marie-Claude (1)
Grimm, Dominik G. (1)
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University
Royal Institute of Technology (2)
University of Gothenburg (1)
Uppsala University (1)
Halmstad University (1)
Stockholm University (1)
Lund University (1)
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Chalmers University of Technology (1)
Karolinska Institutet (1)
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Language
English (3)
Research subject (UKÄ/SCB)
Engineering and Technology (2)
Natural sciences (1)
Medical and Health Sciences (1)

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