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Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems

Author

Listed:
  • Pierpaolo Dini

    (Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy
    These authors contributed equally to this work.)

  • Sergio Saponara

    (Department of Information Engineering, University of Pisa, Via G. Caruso, 16, 56122 Pisa, Italy
    These authors contributed equally to this work.)

Abstract

This review of the state of the art aims to collect the description and main research results in the field of development and validation of control algorithms with the main purpose to solve the problem of cogging torque and main sources of electromagnetic torque ripple. In particular, we focus on electric drives for advanced and modern mechatronic applications such as industrial automation, robotics, and automotive applications, with special emphasis on work that exploits model-based design. A great added value of this paper is to explicitly show the operational steps required for the model-based design design of optimized control algorithms for electric drives where it is necessary to make up for electromagnetic torque oscillations due to the main sources of ripple, particularly cogging torque. The ultimate goal of this paper is to provide researchers approaching this particular problem with a comprehensive collection of the most effective solutions reported in the state of the art and also a summary for effectively applying the model-based design methodology.

Suggested Citation

  • Pierpaolo Dini & Sergio Saponara, 2022. "Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems," Energies, MDPI, vol. 15(23), pages 1-29, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8990-:d:986428
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    References listed on IDEAS

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    1. Cinzia Bernardeschi & Pierpaolo Dini & Andrea Domenici & Maurizio Palmieri & Sergio Saponara, 2020. "Formal Verification and Co-Simulation in the Design of a Synchronous Motor Control Algorithm," Energies, MDPI, vol. 13(16), pages 1-23, August.
    2. Pierpaolo Dini & Sergio Saponara, 2020. "Design of an Observer-Based Architecture and Non-Linear Control Algorithm for Cogging Torque Reduction in Synchronous Motors," Energies, MDPI, vol. 13(8), pages 1-20, April.
    3. Ahmed Hemeida & Bert Hannon & Hendrik Vansompel & Peter Sergeant, 2016. "Comparison of Three Analytical Methods for the Precise Calculation of Cogging Torque and Torque Ripple in Axial Flux PM Machines," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-14, October.
    4. Pierpaolo Dini & Sergio Saponara, 2020. "Design of Adaptive Controller Exploiting Learning Concepts Applied to a BLDC-Based Drive System," Energies, MDPI, vol. 13(10), pages 1-20, May.
    5. Chung-Seong Lee & Hae-Joong Kim, 2022. "Harmonic Order Analysis of Cogging Torque for Interior Permanent Magnet Synchronous Motor Considering Manufacturing Disturbances," Energies, MDPI, vol. 15(7), pages 1-13, March.
    6. Pierpaolo Dini & Sergio Saponara, 2019. "Cogging Torque Reduction in Brushless Motors by a Nonlinear Control Technique," Energies, MDPI, vol. 12(11), pages 1-20, June.
    7. Elia Brescia & Donatello Costantino & Paolo Roberto Massenio & Vito Giuseppe Monopoli & Francesco Cupertino & Giuseppe Leonardo Cascella, 2021. "A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models," Energies, MDPI, vol. 14(7), pages 1-26, March.
    8. T. A. Anuja & M. Arun Noyal Doss, 2021. "Reduction of Cogging Torque in Surface Mounted Permanent Magnet Brushless DC Motor by Adapting Rotor Magnetic Displacement," Energies, MDPI, vol. 14(10), pages 1-20, May.
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    1. Houssein Al Attar & Mohamed Assaad Hamida & Malek Ghanes & Miassa Taleb, 2023. "Review on Modeling and Control Strategies of DC–DC LLC Converters for Bidirectional Electric Vehicle Charger Applications," Energies, MDPI, vol. 16(9), pages 1-28, May.

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