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Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers

Author

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  • Agnieszka Kowal G.

    (Systems Engineering and Automation Department, University of Seville, 41092 Seville, Spain)

  • Manuel R. Arahal

    (Systems Engineering and Automation Department, University of Seville, 41092 Seville, Spain)

  • Cristina Martin

    (Electronic Engineering Department, University of Seville, 41092 Seville, Spain)

  • Federico Barrero

    (Electronic Engineering Department, University of Seville, 41092 Seville, Spain)

Abstract

The problem of control of stator currents in multi-phase induction machines has recently been tackled by direct digital model predictive control. Although these predictive controllers can directly incorporate constraints, most reported applications for stator current control of drives do no use this possibility, being the usual practice tuning the controller to achieve the particular compromise solution. The proposal of this paper is to change the form of the tuning problem of predictive controllers so that constraints are explicitly taken into account. This is done by considering multiple controllers that are locally optimal. To illustrate the method, a five-phase drive is considered and the problem of minimizing x − y losses while simultaneously maintaining the switching frequency and current tracking error below some limits is tackled. The experiments showed that the constraint feasibility problem has, in general, no solution for standard predictive control, whereas the proposed scheme provides good tracking performance without violating constraints in switching frequency and at the same time reducing parasitic currents of x − y subspaces.

Suggested Citation

  • Agnieszka Kowal G. & Manuel R. Arahal & Cristina Martin & Federico Barrero, 2019. "Constraint Satisfaction in Current Control of a Five-Phase Drive with Locally Tuned Predictive Controllers," Energies, MDPI, vol. 12(14), pages 1-9, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2715-:d:248778
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    References listed on IDEAS

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    1. Hussain Sarwar Khan & Muhammad Aamir & Muhammad Ali & Asad Waqar & Syed Umaid Ali & Junaid Imtiaz, 2019. "Finite Control Set Model Predictive Control for Parallel Connected Online UPS System under Unbalanced and Nonlinear Loads," Energies, MDPI, vol. 12(4), pages 1-20, February.
    2. Yassine Kali & Magno Ayala & Jorge Rodas & Maarouf Saad & Jesus Doval-Gandoy & Raul Gregor & Khalid Benjelloun, 2019. "Current Control of a Six-Phase Induction Machine Drive Based on Discrete-Time Sliding Mode with Time Delay Estimation," Energies, MDPI, vol. 12(1), pages 1-17, January.
    3. Hannan, M.A. & Ali, Jamal A. & Mohamed, Azah & Hussain, Aini, 2018. "Optimization techniques to enhance the performance of induction motor drives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1611-1626.
    4. Cristina Martin & Federico Barrero & Manuel R. Arahal & Mario J. Duran, 2019. "Model-Based Predictive Current Controllers in Multiphase Drives Dealing with Natural Reduction of Harmonic Distortion," Energies, MDPI, vol. 12(9), pages 1-12, May.
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    Cited by:

    1. Vladimir Kindl & Radek Cermak & Zelmira Ferkova & Bohumil Skala, 2020. "Review of Time and Space Harmonics in Multi-Phase Induction Machine," Energies, MDPI, vol. 13(2), pages 1-17, January.

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