Torque Ripple Minimization

Torque Ripple Minimization is a control-oriented method in electric machine design that specifically reduces the periodic fluctuations in output torque of Permanent Magnet Machines and Stepper Actuators by optimizing electromagnetic and control parameters to enhance motion smoothness and system precision.

1.2K

Publications

52.8K

Citations

2.6K

Authors

745

Institutions

Publications per year

2017–2026

474

Authors

2.6K

  1. ZQ
    Z. Q. Zhu

    University of Sheffield, United Kingdom

    31 publications · 1.9K citations

    23

    h-index

  2. NC
    Narayan C. Kar

    University of Windsor, Canada

    19 publications · 1.1K citations

    18

    h-index

  3. IH
    Iqbal Husain

    North Carolina State University, United States

    21 publications · 2K citations

    18

    h-index

  4. NB
    Nicola Bianchi

    University of Padua, Italy

    18 publications · 971 citations

    16

    h-index

  5. CL
    Chunyan Lai

    University of Windsor, Canada

    15 publications · 940 citations

    15

    h-index

1–5 of 2.6K

Venues

  1. IEEE Transactions on Industrial Electronics

    116 publications · 11.2K citations

    61

    h-index

  2. IEEE Transactions on Magnetics

    119 publications · 6.8K citations

    53

    h-index

  3. IEEE Transactions on Power Electronics

    76 publications · 7.2K citations

    46

    h-index

  4. IEEE Transactions on Industry Applications

    76 publications · 5.8K citations

    42

    h-index

  5. IEEE Transactions on Energy Conversion

    47 publications · 2.8K citations

    31

    h-index

1–5