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Performance Degradation of Surface PMSMs with Demagnetization Defect under Predictive Current Control

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  • Lynn Verkroost

    (Electrical Energy Laboratory, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9000 Ghent, Belgium
    Flanders Make—EEDT, The Strategic Research Centre for the Manufacturing Industry, 3001 Leuven, Belgium)

  • Joachim Druant

    (Electrical Energy Laboratory, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9000 Ghent, Belgium
    Flanders Make—EEDT, The Strategic Research Centre for the Manufacturing Industry, 3001 Leuven, Belgium)

  • Hendrik Vansompel

    (Electrical Energy Laboratory, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9000 Ghent, Belgium
    Flanders Make—EEDT, The Strategic Research Centre for the Manufacturing Industry, 3001 Leuven, Belgium)

  • Frederik De Belie

    (Electrical Energy Laboratory, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9000 Ghent, Belgium
    Flanders Make—EEDT, The Strategic Research Centre for the Manufacturing Industry, 3001 Leuven, Belgium)

  • Peter Sergeant

    (Electrical Energy Laboratory, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, 9000 Ghent, Belgium
    Flanders Make—EEDT, The Strategic Research Centre for the Manufacturing Industry, 3001 Leuven, Belgium)

Abstract

To control the current of a surface mounted permanent magnet synchronous machine fed by a two-level voltage source inverter, a large variety of control algorithms exists. Each of these controllers performs differently concerning dynamic performance and control- and voltage quality, but also concerning sensitivity to demagnetization faults. Therefore, this paper investigates the performance degradation of three advanced predictive controllers under a partial demagnetization fault. The three predictive controllers are: finite-set model based predictive control, deadbeat control, and a combination of both previous algorithms. To achieve this goal, the three predictive controllers are first compared under healthy conditions, and afterwards under a partial demagnetization fault. A PI controller is added to the comparison in order to provide a model-independent benchmark. Key performance indicators, obtained from both simulations and experimental results on a 4 kW axial flux permanent magnet synchronous machine with yokeless and segmented armature topology, are introduced to enable a quantification of the performance degradation of the controllers under a demagnetization fault. A general conclusion is that the deadbeat controller shows superior control quality, even under partial demagnetization.

Suggested Citation

  • Lynn Verkroost & Joachim Druant & Hendrik Vansompel & Frederik De Belie & Peter Sergeant, 2019. "Performance Degradation of Surface PMSMs with Demagnetization Defect under Predictive Current Control," Energies, MDPI, vol. 12(5), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:782-:d:209271
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    References listed on IDEAS

    as
    1. Guiping Du & Jiajian Li & Fada Du & Zhifei Liu, 2018. "A Robust Digital Control Strategy Using Error Correction Based on the Discrete Lyapunov Theorem," Energies, MDPI, vol. 11(4), pages 1-12, April.
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    3. Jaehong Kim & Jitae Hong & Hongju Kim, 2016. "Improved Direct Deadbeat Voltage Control with an Actively Damped Inductor-Capacitor Plant Model in an Islanded AC Microgrid," Energies, MDPI, vol. 9(11), pages 1-15, November.
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    5. Stefan Sjökvist & Sandra Eriksson, 2017. "Investigation of Permanent Magnet Demagnetization in Synchronous Machines during Multiple Short-Circuit Fault Conditions," Energies, MDPI, vol. 10(10), pages 1-12, October.
    6. Fang Hu & Derong Luo & Chengwei Luo & Zhuo Long & Gongping Wu, 2018. "Cascaded Robust Fault-Tolerant Predictive Control for PMSM Drives," Energies, MDPI, vol. 11(11), pages 1-17, November.
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